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This guide explains how to add support for a new harness — an IDE, CLI, or agent runner that isn’t Claude Code — so that Superpowers skills auto-trigger there the same way they do natively.

It is written in two layers. Part 1–3 explain how the system works and how to tell whether a harness can be supported at all; read these before you touch anything. Part 4–8 are a prescriptive procedure for an agent (supervised by a human partner) to execute the port end to end, through distribution. An appendix indexes the current reference integrations so you can copy the closest one.

The integration mechanism differs across harnesses, and it will keep changing. This guide deliberately teaches the invariants — the things that must be true no matter the mechanism — and points you at a live reference implementation to copy. When this guide and the code disagree, the code wins; fix the guide.

Adding a harness is the highest-stakes contribution type in this repo. Before writing anything:

  • Read CLAUDE.md and .github/PULL_REQUEST_TEMPLATE.md in full — the contributor rules and the new-harness PR requirements are not optional.
  • Search open and closed PRs for a prior attempt at this harness. If one exists, understand why it stalled before starting your own.

Part 1 — How Superpowers works across harnesses

Section titled “Part 1 — How Superpowers works across harnesses”

Superpowers is the same content everywhere. What changes per harness is the thin layer that delivers that content to the model and translates its instructions into the harness’s native tools. Three components:

  1. Skills (harness-agnostic). Everything in skills/ is the source of truth, shared verbatim by every harness. Skills are written to describe actions — “invoke a skill”, “read a file”, “dispatch a subagent”, “create a todo” — and never name a specific tool. This is what lets one skill body run on Claude Code, Codex, Gemini, pi, and the rest without edits.

  2. Tool mapping (per-harness). Each harness needs the action vocabulary translated into its real tool names. That translation lives in skills/using-superpowers/references/<harness>-tools.md and/or inline in the harness’s bootstrap injector (see Part 5). It says, e.g., “dispatch a subagent → call task with subagent_type.”

  3. Bootstrap (per-harness). At the start of every session, the full skills/using-superpowers/SKILL.md is injected into the model’s context, wrapped in <EXTREMELY_IMPORTANT> tags, with the tool mapping appended. That injected skill is what teaches the model that skills exist and that it must check for a relevant skill before acting. The bootstrap is the entire integration. Without it, the skill files are inert — present on disk, never invoked.

1. Skills name actions, not tools. Do not edit skill bodies to fit your harness. Porting adds a tool-mapping reference and a bootstrap injector; it never reaches into skills/*/SKILL.md to swap tool names. (The project’s contributor guidelines treat skill content as carefully-tuned behavior-shaping code; rewording it for “compliance” is rejected on sight.)

2. Everything ships through the harness’s own install mechanism. Never edit the user’s files. The bootstrap, the skills, and the tool mapping all get delivered as part of what the harness installs — a plugin, an extension, a marketplace entry, an extension-bundled context file. A port must not reach into a user’s global or personal config (~/.gemini/config/AGENTS.md, settings.json, trustedFolders.json, a hand-edited ~/.bashrc, etc.) to inject anything. The harness owns what it loads; your install artifact is the only thing you get to write. If the install mechanism genuinely can’t carry the bootstrap, that is a limitation to surface (Part 6) — never a license to hand-edit the user’s config. (Shape C is not an exception: Gemini’s context file is fine because it ships inside the installed extension and is declared by the manifest’s contextFileName — the harness loads the extension’s own file, not a file you edited in the user’s home.)


A harness can support Superpowers only if it can do all of the following. Check these before writing code — if the first one fails, stop.

Hard requirement: automatic session-start injection

Section titled “Hard requirement: automatic session-start injection”

The harness must let you inject text into the model’s context at the start of every session, with no per-session opt-in by your human partner. This is the one non-negotiable capability. It can take any form:

  • a hook/event system that runs a shell command at session start and reads its stdout (Claude Code, Cursor, Copilot CLI), or
  • an in-process plugin/extension with a session-start or message lifecycle callback that can mutate the message array (OpenCode, pi), or
  • an instructions-file convention where the harness loads a context file that your installed extension ships and declares (e.g. Gemini’s contextFileName pointing at the extension’s own GEMINI.md) — not a file you edit in the user’s home.

If the only way to get Superpowers in front of the model is for your human partner to opt in each session (paste a prompt, run a command, enable a mode), the harness cannot be properly supported. The acceptance test in Part 3 will fail, and the PR will be closed. This is the single most common reason a “port” isn’t a real port.

Capability Why it’s needed If absent
Skill discovery + invocation The model must be able to load a skill’s full content on demand If there’s no native skill tool, the sanctioned fallback is to read the relevant SKILL.md directly — see Part 5. A harness with neither a skill tool nor file-read cannot work.
File read / write / edit Nearly every skill manipulates files Essential. No workaround.
Run shell commands TDD, verification, git workflows Essential.
Subagent / task dispatch dispatching-parallel-agents, subagent-driven-development Degradable: if unavailable, those specific skills tell the model to do the work inline or report the missing capability — never to invent a Task call. Some harnesses gate this behind a config flag (e.g. Codex needs multi-agent enabled).
Todo / task tracking Progress tracking in several skills Degradable: fall back to a plan file or TODO.md.
Web fetch / search A few skills Degradable.
Shell or polyglot script execution (Windows) Only for the shell-hook shape, only if you want Windows support See Part 7. In-process-plugin harnesses sidestep this entirely.

“Degradable” means: the skill already has fallback wording for the missing tool. Your job in the tool mapping is to point at the real tool when it exists and reuse that fallback wording when it doesn’t.

Some “new harnesses” are really existing integrations under a different installer. Factory’s Droid, for example, consumes the Claude Code plugin via its own plugin install command and needs no new files here. Before building, check whether the harness can simply load an existing manifest. A port that adds nothing to this repo but a paragraph in the README is a perfectly good outcome.


A port is finished when all of these are true:

  1. The using-superpowers bootstrap loads at session start, every session, with no per-session opt-in.

  2. A tool mapping exists for the harness (in references/<harness>-tools.md, inline in the bootstrap, or both — per Part 5).

  3. Skills can actually be invoked — natively, or via the documented read-SKILL.md fallback — and the model follows them.

  4. The acceptance test passes. In a clean session, the user message:

    Let’s make a react todo list

    auto-triggers the brainstorming skill before any code is written. Capture the full transcript — the PR requires it.

  5. Tests cover the integration (Part 5) and pass.

  6. A real user can install it through the harness’s own mechanism (not by hand-copying files), and the version is tracked in .version-bump.json where applicable (Part 6). Note that some installers rewrite or strip the manifest on install (one drops it to just {"name": …}), so “the installed files report the repo version” is not always achievable — track the version at the source manifest and don’t treat a rewritten installed manifest as a failure.

A quick smoke check before the full acceptance test: start a session and ask the model to describe its superpowers. If the bootstrap injected, it knows it has them. (OpenCode’s install doc uses opencode run --print-logs "hello" 2>&1 | grep -i superpowers for the same goal via a different mechanism — log-grep rather than asking the model; the 2>&1 matters because logs go to stderr. Find your harness’s equivalent.)


There are three structural shapes, distinguished by how you get the bootstrap in front of the model. Pick the one that matches what your harness exposes, then copy that reference implementation. The shape determines almost everything in Part 5 — the steps below branch on it.

Before routing, learn the harness’s actual mechanism — and don’t assume it’s well documented or that it behaves like whatever harness it forked from.

Find the surface:

  • Search the web for the harness’s docs (extension / plugin / hook / skill / MCP / “context file” / “rules file”). Vendor tools change fast; search rather than trust training knowledge.
  • Find and read an existing third-party extension/plugin for the harness. A real working example beats docs — it shows the manifest shape, the install command, and which components the harness actually loads.
  • Check what the harness loads at startup: a settings file? an extensions directory? a per-project or global instructions file (AGENTS.md, <NAME>.md)?

If it’s underdocumented, reverse-engineer it empirically (a real porter has had to do every one of these):

  • strings the binary / grep the install tree for hook event names, config paths, and the instructions file it reads.
  • Ask the running model to enumerate its own tool names — e.g. “list the exact machine names of every tool you can call.” This is the authoritative way to get tool names without inventing them (see Step 4).
  • Prove every assumption with a unique-marker test: inject a nonsense token through the mechanism you think works, start a fresh session, and confirm the token actually reached the model.

A fork does not inherit its parent’s behavior. A harness derived from another (e.g. a Gemini-derived CLI) may expose the parent’s manifest fields and @-include syntax and still not honor them the same way. Verify with a marker; never assume the parent’s recipe transfers.

Then route to a shape:

  • Shell command at session start whose stdout is read → Shape A.
  • Plugin/extension module with lifecycle callbacks you run code in → Shape B.
  • Only ever an always-on instructions file, no hook and no code plugin → Shape C.

Shapes compose — they are not mutually exclusive. The skill-discovery mechanism and the bootstrap mechanism need not be the same shape — but both must still ride the install mechanism (rule 2). Decide the two questions separately: where do skills get discovered? and how does the bootstrap reach the model every session? A harness might install skills via a plugin yet need the bootstrap delivered another install-shipped way (an extension-declared context file, or — see below — by the harness surfacing the installed using-superpowers skill’s own description at session start). If more than one install-mechanism surface injects automatically, prefer the most reliable. What you may not do is bridge a gap by editing the user’s global config.

The harness has a hook system that runs a shell command at session start and reads JSON from its stdout. The configured command runs run-hook.cmd, a polyglot wrapper that just locates bash and dispatches the named script; the script (hooks/session-start, or a harness-specific variant) is what reads using-superpowers/SKILL.md and prints a JSON object whose field name and nesting differ per harness.

  • Reference: hooks/session-start, hooks/run-hook.cmd, and the per-harness hook config hooks/hooks.json (Claude Code) and hooks/hooks-cursor.json (Cursor).
  • Manifests: .cursor-plugin/plugin.json is the Shape A manifest example that points the harness at ./skills/ and the right hooks-*.json. Claude Code’s .claude-plugin/plugin.json sets neither field — it auto-discovers skills/ and hooks/hooks.json by convention. Do not copy Codex’s .codex-plugin/plugin.json for Shape A: it declares an empty hooks object specifically to suppress Codex’s hooks/hooks.json auto-discovery, because Codex surfaces skills natively and runs no session-start hook.

A hook system is not a session-start event. A harness can have a hooks.json mechanism — and even contain the literal string SessionStart in its binary — while having no hook event that fires at session start and can inject context. (One real harness only exposed pre/post-tool and stop events; the SessionStart strings were telemetry.) Confirm the specific event you need exists and can write to the model’s context before committing to Shape A. If it can’t, the bootstrap belongs in an instructions file (Shape C) instead.

The harness loads a JS/TS module that exposes lifecycle callbacks. You register the skills directory through the harness’s API and inject the bootstrap by mutating the message array in code.

  • Reference: .opencode/plugins/superpowers.js (JavaScript) and .pi/extensions/superpowers.ts (TypeScript). pi is the closest reference for any harness that has no native skill tool.

The harness has neither a shell hook nor a code plugin — its session-start surface is a context file that your installed extension ships and the manifest declares (e.g. Gemini’s contextFileName → the extension’s own GEMINI.md). You can’t run code or mutate messages; the extension’s context file points at the bootstrap. There is no injector to assemble a string or strip frontmatter — the harness loads the referenced content as-is. This works only because the file is part of the installed extension — never substitute “edit the user’s global GEMINI.md/AGENTS.md” for shipping your own (rule 2).

  • Reference: gemini-extension.json (manifest, with contextFileName), GEMINI.md (two @-includes — the bootstrap skill and the tool-mapping reference), skills/using-superpowers/references/gemini-tools.md.
  • Note: @-include is a Gemini feature. If your harness loads an instructions file but has no include syntax, you must inline the bootstrap content into the file instead.
  • Don’t trust that an @-include is actually expanded — prove it. A Gemini-derived harness can accept @./path syntax yet treat it as a hint the model may choose to read (it emits a file-read tool call) rather than a guaranteed inline expansion. That’s the difference between the bootstrap being reliably present every session and the model maybe-reading it. Run a unique-marker test: if the marker isn’t in context without a tool call, inline the content rather than @-include it.
If the harness… Use shape Copy from
runs a shell command at session start and reads its stdout A (shell-hook) Cursor (hooks/session-start + hooks/hooks-cursor.json + .cursor-plugin/)
is a JS/TS plugin host with session/message lifecycle callbacks B (in-process) OpenCode (.opencode/) — or pi (.pi/) if it has no native skill tool
ships an extension-declared context file it always loads C (instructions-file) Gemini (gemini-extension.json + GEMINI.md + references/gemini-tools.md)
lists each installed skill’s description, with no session-start event and no context-file field skill-index bootstrap (Part 5 Step 5, case 2 fallback) Antigravity (.antigravity-plugin/plugin.json + skills/ only)

Most real harnesses fit one row cleanly; the last is the soft case — see Step 5’s fallback caveats (rule 2 still holds — never a user-config edit).


Step 1 — Study the closest reference implementation

Section titled “Step 1 — Study the closest reference implementation”

Open the files named in Part 4 for your shape and read them end to end. The patterns below are summaries; the code is the spec.

Step 2 — Create the manifest / entry point

Section titled “Step 2 — Create the manifest / entry point”

Create whatever the harness uses to recognize the plugin. Match the existing ones in spirit:

  • Shape A: a *-plugin/plugin.json (see .cursor-plugin/plugin.json) with name, version, description, author/license/keywords, "skills": "./skills/", and "hooks": "./hooks/hooks-&lt;harness>.json". Plus the hooks-<harness>.json itself, registering a session-start hook whose command invokes run-hook.cmd.
  • Shape B: the module the harness loads (e.g. .<harness>/plugins/*.js) plus whatever package metadata it needs to be discovered. The committed package metadata is the repo-root package.json: main points at the OpenCode plugin, the pi field (pi.extensions, pi.skills) plus the pi-package keyword declare the pi extension. Per-harness local manifests and lockfiles are kept out of git — .opencode/.gitignore excludes node_modules, package.json, and lockfiles. Do the same for your harness’s local install artifacts so they don’t pollute the repo — but never gitignore the repo-root package.json, which is the tracked source of truth.
    • Build/dependency check. Decide how the harness loads your module: does it run the source directly (pi’s .ts is referenced as-is from package.json; OpenCode ships plain .js), or does it need a transpile/build step? Superpowers is zero-runtime-dependency. pi’s import type { ExtensionAPI } works specifically because the harness runs the .ts directly, supplies that type at load, and the repo never type-checks the file in CI — the import isn’t even declared as a dependency. If your harness actually type-checks or bundles the plugin, that breaks: an undeclared type import fails, and the PR rules only carve out runtime deps for new harnesses, not dev/type packages. If you hit this, confirm the approach with the maintainer rather than quietly adding a dependency. Keep any build output out of git and document the command.
  • Shape C (instructions-file): a small manifest (see gemini-extension.json: name, description, version, contextFileName) plus the context file itself (GEMINI.md is just two @-includes: the bootstrap skill and the tool-mapping reference). The Gemini manifest has no skills field — Gemini auto-discovers the skills/ directory bundled in the installed extension. If your harness has a native skill tool but no manifest field to register the directory, you must find its discovery convention (read its extension docs), then verify empirically: after wiring, ask the model to list its available skills — if the bundled skills don’t appear, discovery isn’t working yet.

This is the heart of the port. The shared goal: at session start, get the using-superpowers skill content (wrapped in <EXTREMELY_IMPORTANT> tags) plus the harness’s tool mapping in front of the model, with a note that the skill is already active so the model doesn’t try to load it again. How you do that — and what you assemble vs. what the harness loads raw — depends entirely on your shape. Do not apply one shape’s recipe to another.

Shape A — a script reads SKILL.md and prints the harness’s JSON. The dispatched script (hooks/session-start) cats the whole SKILL.md (frontmatter included — that’s fine; it’s emitted verbatim), wraps it with the “You have superpowers… for all other skills use the Skill tool” preamble, escapes it, and prints the harness’s JSON shape. The tool mapping for Shape A does not go inline here — it lives in references/<harness>-tools.md (Step 4). Get the JSON output shape exactly right. hooks/session-start detects the harness from environment variables and prints one of three shapes:

  • Cursor (CURSOR_PLUGIN_ROOT set): { "additional_context": "…" }
  • Claude Code (CLAUDE_PLUGIN_ROOT set, COPILOT_CLI unset): { "hookSpecificOutput": { "hookEventName": "SessionStart", "additionalContext": "…" } }
  • Copilot CLI / SDK standard (else): { "additionalContext": "…" }

This is a trap. Emitting the wrong field, or an extra one, means the bootstrap either never injects or injects twice (Claude Code reads both additional_context and hookSpecificOutput without de-duplicating, so emitting both double-injects). Find the exact field, nesting, and event-matcher values your harness expects. Then decide: add a fourth branch to hooks/session-start, or — if the harness needs a different bootstrap message or env contract — add a dedicated hooks/session-start-<harness> script. If you add a branch and your harness also sets an env var an earlier branch keys on (some harnesses set CLAUDE_PLUGIN_ROOT too), order your branch before the one that would otherwise shadow it. Match the harness’s own event-matcher strings (Claude Code uses startup|clear|compact, Cursor sessionStart); wrong matchers mean the hook silently never fires.

The hook-config schema itself varies per harness — don’t assume the Claude Code shape is universal. Compare hooks/hooks.json and hooks/hooks-cursor.json: Cursor’s uses "version": 1, a lowercase sessionStart key, a relative ./hooks/run-hook.cmd command, and omits the matcher/type/async fields Claude Code uses. Match your hooks-<harness>.json to whichever existing file is closest, not to a single canonical template.

The hook command string references a harness-provided plugin-root variable, and its name differs per harness: hooks.json uses ${CLAUDE_PLUGIN_ROOT}, hooks-cursor.json uses a relative path. Use whatever your harness exports. (The session-start script re-derives the root itself via dirname, so the script body doesn’t depend on this — but the command in the manifest does.)

Discovering the harness’s contract. The three facts above — env var, JSON field/nesting, matcher strings — are the harness’s contract, not Superpowers’, so you have to source them. Read the harness’s hook docs, or find out empirically: register a throwaway session-start hook that dumps its environment and emits a marker, then observe which env var identifies the harness and whether/how the harness ingests your stdout. Pin these down before writing the real branch.

Shape B — assemble the string in code, then inject as a user message. Here you build the bootstrap yourself: read SKILL.md, strip its YAML frontmatter, and assemble <EXTREMELY_IMPORTANT> + a short preamble that the skill is already loaded and must not be re-invoked + the stripped body + the inline tool mapping + </EXTREMELY_IMPORTANT>. One subtlety the references disagree on: OpenCode’s preamble says “do NOT use the skill tool…” (assumes a skill tool exists), while pi’s just says “do not try to load using-superpowers again.” If your harness has no skill tool, use pi’s wording, not OpenCode’s.

Inject the result as a user-role message, not a system message — system messages bloat tokens when repeated every turn (#750) and multiple system messages break some models (#894). Three things you must replicate:

  • Dedup guard. The lifecycle callback can fire repeatedly (OpenCode’s transform runs on every agent step; pi’s context fires per turn). Before injecting, check whether a bootstrap marker is already present and skip if so. (The references pick different markers — pi a custom string, OpenCode the EXTREMELY_IMPORTANT tag; matching the tag is more robust since it needs no harness-specific constant.) Cache the bootstrap content at module level so you’re not re-reading and re-parsing SKILL.md on every call (#1202).
  • Compaction. If the harness compacts/summarizes history, re-inject afterward. pi re-injects on every context call and inserts the message after any leading compaction-summary messages. OpenCode relies on its per-step re-injection plus the dedup guard.
  • Message-object shape is per-harness — discover yours, don’t copy a literal. The two references use incompatible shapes: pi builds { role, content: [{ type, text }], timestamp }; OpenCode manipulates message.info.role and message.parts[]. Find your harness’s message shape from its API; copying a reference’s object literal verbatim will fail silently.

Shape C — point your extension’s context file at the bootstrap; assemble nothing. There is no injector, so you do not strip frontmatter or build a wrapped string. The context file your extension ships (declared by the manifest — not the user’s own global file) pulls in two things: the using-superpowers skill and the harness’s tool-mapping reference. GEMINI.md does this with two @-includes (@./skills/using-superpowers/SKILL.md and @./skills/using-superpowers/references/<harness>-tools.md); the harness loads them raw, frontmatter and all, and SKILL.md already carries its own <EXTREMELY-IMPORTANT> block internally. If your harness has no include syntax, inline the content into the instructions file instead. Gemini ships no “already loaded, don’t re-invoke” preamble — for an @-include harness the content is the active instruction set, not a skill the model would re-load. If you find your harness does try to re-invoke, add that note as a literal line in the instructions file (you have no code to add it any other way).

Translate the action vocabulary into the harness’s real tools. Cover every one of these actions (omit only what genuinely doesn’t apply):

  • read a file
  • create / edit / delete a file (one apply_patch-style tool, or separate write/edit?)
  • run a shell command
  • search file contents / find files by name (grep, glob)
  • fetch a URL / web search
  • dispatch a subagent, including how to pass the agent type — and any config flag needed to enable it
  • create / update todos (treat older TodoWrite references as this action)
  • invoke a skill — see Step 5

Get the real tool names from the harness; never invent them. If the docs don’t list them, the authoritative source is the harness itself: in a live session, ask the model to “list the exact machine names of every tool you can call, one per line” and use what it reports.

How the harness finds the skills/ directory is itself per-harness — confirm it, don’t assume. Possibilities: a manifest skills path field (Codex’s "skills": "./skills/"); a co-located skills/ the harness auto-scans (where a path field is ignored — one real harness only scanned a skills/ sitting next to plugin.json); an API/registration call (OpenCode, pi); or you stage an install dir that pairs the manifest with a symlink to the repo’s skills/ and point the installer at the staging dir (verify the installer dereferences the symlink and copies the real files — confirm with agy plugin validate/install or the equivalent before relying on it). A skills path field is not portable.

Where the mapping lives depends on shape:

  • Shape A: put it in skills/using-superpowers/references/<harness>-tools.md. The agent reaches it from the bootstrap — SKILL.md’s “Platform Adaptation” section links the per-harness references files. (Shape A harnesses have no instructions file; the mapping is not inlined into the hook output.)
  • Shape B: the mapping is typically inlined into the bootstrap string you inject (see the toolMapping constant in superpowers.js). pi keeps it in both places — piToolMapping() inline and references/pi-tools.md. If you maintain it in two places, update both, or the port is half-done.
  • Shape C: put it in references/<harness>-tools.md and pull it into the always-loaded instructions file (e.g. GEMINI.md @-includes gemini-tools.md).

You may also add a one-line pointer to your harness in SKILL.md’s “Platform Adaptation” section so an agent reading the bootstrap knows where its mapping lives. This is the one edit to a SKILL.md a port may make — and only because that section is a pointer list, not behavior-shaping content. It does not violate the “don’t edit skill bodies” rule (Part 1); do not touch anything else in any skill. (The list is a convenience pointer, not an exhaustive registry — not every harness is listed.)

Step 5 — Handle a harness with no native skill tool

Section titled “Step 5 — Handle a harness with no native skill tool”

using-superpowers/SKILL.md tells the model to never read skill files manually with file tools — always use your platform’s skill-loading mechanism. The point is “don’t bypass the mechanism,” not “never use file-read.” What counts as “your platform’s mechanism” depends on the harness — and for a harness with no skill tool, the documented mechanism is reading SKILL.md. So reading it there honors the rule rather than breaking it. Distinguish three cases:

  1. Native Skill-style tool (Claude Code, Copilot CLI, Gemini’s activate_skill): point the mapping at that tool.

  2. Native skill discovery but no Skill tool (pi, Antigravity): the harness can find and list skills, but the model can’t call a tool to load one. Get the skills installed where the harness scans (pi declares them in the package manifest’s pi.skills; OpenCode via its config hook; agy plugin install copies them in), and tell the model to load a skill by reading its SKILL.md with the file-read tool when the skill applies — the sanctioned mechanism here, the way references/pi-tools.md states it.

    For the bootstrap itself, prefer something the harness loads every session (Part 6) — a declared context file where the manifest has a contextFileName-style field. Antigravity has none, and its other options cost more than they buy, so it uses the surfaced skill index below:

    • Its hooks have no session-start event. PreInvocation runs before every model call; an ephemeralMessage it injects is dropped on the next call, and invocationNum resets on each user turn. A userMessage gated on invocationNum == 0 and initialNumSteps == 1 injects exactly once per conversation, but agy still starts the hook process on every model call. ${PLUGIN_ROOT} is not set in hooks (they run from the plugin root). hooks.json must sit at the plugin root; no manifest field moves it.
    • It loads rules/*.md from a plugin every session, but harnesses that install from the git repo share its root, and Cursor is one of them: it also loads any rules/*.md a plugin ships. A file in a shared plugin root is visible to every harness that reads that root — check before adding one.

    Fallback — the surfaced skill index. If there’s no context-file field but the harness surfaces each installed skill’s name + description at session start, you need neither a built index nor a runtime-list instruction — the harness is the index, and using-superpowers’s own surfaced description can be what triggers the model to load it. This is softer than a declared context file; two things it does not give you, versus a context file / hook / in-process injector — account for both:

    • It bootstraps triggering, not the tool mapping. An injector prepends <harness>-tools.md alongside using-superpowers every session. Here nothing injects the mapping — the model only sees skill descriptions and must read your references/<harness>-tools.md when it needs tool names. It works because skills name actions (the model reads the mapping when it acts), but it’s softer than injection. Make sure the mapping is reachable from what the model loads — e.g. linked from SKILL.md’s Platform Adaptation section and installed alongside the skills — not just sitting in the repo.
    • There’s no structural guarantee the trigger fires. No <EXTREMELY_IMPORTANT> wrapper, no dedup, no re-injection after compaction — firing depends on the model choosing to act on a description it sees in the index. This is exactly why the acceptance test is mandatory here: it is the only guarantee, so run it on the model(s) your users will actually use, not just the strongest one.
  3. No skill system at all: there is nothing to register, and the only mechanism is the model reading SKILL.md on demand. But the model can’t read what it can’t find: using-superpowers/SKILL.md does not enumerate the available skills, so on its own the model won’t know which skills exist or their triggers. You must supply a discovery path. Two options, and they differ in durability: (a) generate a skill index (each skills/*/SKILL.md’s name + description frontmatter) and place it inside the <EXTREMELY_IMPORTANT> wrapper alongside the tool mapping (Shape B recipe above) so it’s covered by the dedup guard — but a build-time index goes stale as skills are added; or (b) instruct the model to list skills/*/SKILL.md at runtime and read their frontmatter to find a match — slower but never stale. Prefer (b) unless you have a reason not to. Without either, a no-skill-system port loads the bootstrap but silently never triggers any other skill.

In cases 2 and 3, say plainly in your tool mapping that reading SKILL.md is the blessed path, so the model doesn’t think it’s violating the “never read skill files” rule. Don’t go hunting for a skillPaths-style registration API in a harness that has no skill system — case 3 has none.

Match the existing per-harness test style:

  • Shape A: assert the hook’s stdout has the exact JSON shape your harness consumes, and that it contains the bootstrap. See tests/hooks/test-session-start.sh, which validates each harness’s output shape.
  • Shape B: a unit test that fakes the harness’s plugin API and asserts the lifecycle handlers register, the bootstrap injects once, the dedup guard works, and (if relevant) compaction re-injection works. See tests/pi/test-pi-extension.mjs. Add an isolated-install integration check in the style of tests/opencode/.
  • If the bootstrap is cached, test that the cache behaves when the file is missing (see the OpenCode caching tests).

These automated tests cover the wiring; the live tmux run in Step 7 is what proves the integration actually triggers skills.

Step 7 — Install locally, then drive a live instance to verify

Section titled “Step 7 — Install locally, then drive a live instance to verify”

You cannot confirm a port works by reading code. You have to run the harness with your in-progress port loaded and watch a real session — which is also how you produce the transcript the PR requires.

Install locally. Point a local instance of the harness at your working tree, not a published build:

  • Shape A / C: install the plugin/extension from this repo’s local path (or symlink its directory into wherever the harness looks). Find the harness’s “install from a local directory / git checkout” path in its docs.
  • Shape B: register the local module — e.g. an opencode.json plugin entry pointing at the local path, or pi resolving the package.json fields from the repo.

Reinstall after each change and restart the harness, since the bootstrap loads at startup.

Drive it with tmux. Most harnesses are interactive REPLs/TUIs that can’t be driven by piping stdin, so run the harness inside a detached tmux session and control it with send-keys / capture-pane. A harness may advertise a non-interactive “run one prompt” mode (e.g. opencode run "...") — try it for the quick smoke check, but don’t depend on it: these modes are frequently flaky, auth-gated, or trust-gated (one real harness’s --print mode hung and timed out with no output every time). Be ready to do everything, including the smoke check, through tmux.

Clear the gates first, or tmux stalls silently. Many harnesses block on first-run onboarding, a “do you trust this folder?” prompt, a sandbox mode, or a permission gate — and a detached tmux session will just sit there with no error while it waits. Before the run, pre-trust your scratch directory (in the harness’s settings/config) or be prepared to answer those prompts via send-keys, and account for the harness’s startup time in your first sleep.

Terminal window
# 1. Launch the harness detached, in a throwaway project dir
mkdir -p /tmp/port-smoke
tmux new-session -d -s port-test -c /tmp/port-smoke '<harness-launch-command>'
# 2. Let it initialize — real TUIs take longer than you think (10s+ with a model
# handshake); tune this. THEN capture and clear any blocking modal before you
# type a prompt: first-run onboarding and "trust this folder?" are modal, so
# keystrokes sent during them select menu items instead of typing your prompt.
sleep 12
tmux capture-pane -t port-test -p # onboarding / trust prompt? answer it via send-keys first
# (e.g. tmux send-keys -t port-test Enter # to accept a trust prompt — inspect before assuming)
# 3. Smoke check: does the model know it has superpowers?
# Send the text and Enter as SEPARATE send-keys with a beat between them —
# sending them together races on some TUIs (Enter arrives before the text lands).
tmux send-keys -t port-test 'What are your superpowers?'; sleep 0.4; tmux send-keys -t port-test Enter
sleep 5
tmux capture-pane -t port-test -p # reply should show it knows its skills
# 4. Acceptance test: exact prompt (note the escaped apostrophe), fresh session
tmux send-keys -t port-test 'Let'\''s make a react todo list'; sleep 0.4; tmux send-keys -t port-test Enter
# poll until the turn finishes — re-capture every few seconds, don't capture once
sleep 8
tmux capture-pane -t port-test -p # PASS = brainstorming triggers BEFORE any code
# 5. Save the transcript for the PR, then clean up
tmux capture-pane -t port-test -p > /tmp/port-smoke/transcript.txt
tmux kill-session -t port-test

tmux gotchas that bite here: wait after launch before the first capture; send the prompt text and Enter as separate send-keys calls with a short sleep between them (sending them together races on some TUIs), and Enter is a key name not \n; the agent’s turn takes time, so poll capture-pane in a loop rather than capturing once; capture-pane shows only the visible pane, so for a long conversation use the harness’s own transcript/log file as the record of truth; always kill-session when done.

If the smoke check shows the model doesn’t know it has superpowers, the bootstrap isn’t loading — fix that before bothering with the acceptance test.


A working integration in this repo isn’t usable until a real user can install it. Distribution differs per harness ecosystem — find yours:

Channel Example What you do
Native plugin marketplace Claude Code Register in .claude-plugin/marketplace.json; users /plugin install. The external superpowers-marketplace repo is the source of truth users install from — see the release steps in CLAUDE.md.
External marketplace fork, synced by script Codex scripts/sync-to-codex-plugin.sh rsyncs the tracked plugin files into a separate fork repo and opens a PR. Read its include/exclude list so you ship the right tree (it deliberately drops repo-internal dirs and other harnesses’ dotdirs).
Git-URL extension install Gemini, Kimi Code, OpenCode Users install from a git URL (gemini extensions install …; Kimi Code /plugins install …; an opencode.json plugin array entry). Document the exact command.
Package-manifest fields pi Declared through fields in the repo-root package.json; users install via the harness’s package command.
Git-URL plugin install + marketplace Antigravity (agy) Users run agy plugin install https://github.com/obra/superpowers. agy reads .antigravity-plugin/plugin.json, whose Marketplace fields (displayName, logo, suggestedPrompts, version, author) also drive the Antigravity Marketplace listing. Without that manifest, agy falls back to importing gemini-extension.json.

Then:

  • A plugin installer may silently strip undeclared files — so make the bootstrap a file the installer recognizes, never a user-config edit. A plugin install typically copies only the components it knows about (skills/agents/commands/mcp/hooks/context) and discards anything else, so a context file the manifest doesn’t declare just vanishes from the install. The fix is not to give up and write into the user’s config (rule 2) — it’s to declare the bootstrap as a recognized component. In escalation order:

    • Ship a context file the manifest declares. If the harness has a contextFileName-style field (an extension-declared file it loads every session), that is the strongest clean bootstrap: declare it, and the installer preserves it and the harness loads it. Generate it at install time from the live using-superpowers/SKILL.md + the tool mapping (wrapped in <EXTREMELY_IMPORTANT>) so the installed bootstrap never drifts. Verify with a marker that the installer keeps the file and the harness loads it: a file the manifest doesn’t declare can be stripped as unrecognized.
    • Otherwise lean on the installed using-superpowers skill itself. If the harness surfaces each installed skill’s name + description at session start, the using-superpowers description (“Use when starting any conversation…”) can prompt the model to load it — installing the skill is the bootstrap. Softer (no guaranteed wrapper; it carries triggering but not the tool mapping — see Step 5), so prefer the declared context file when available.
    • If neither works, the harness cannot be cleanly supported yet — say so and raise it, rather than hand-editing the user’s config.
  • Packagers can strip executable bits — skill prose invokes bundled scripts through their interpreter. Some marketplace packaging and install paths lose Unix file modes: the Codex marketplace cache delivered the SDD helpers as 0644 (#2040, #2134), and the MiniMax Code marketplace ships every file as mode 600. A bare scripts/foo.sh or ./foo.js in a skill then fails with Permission denied on that harness even though the repo’s tree records 100755. So every script invocation in skills/**/*.md is spelled through its interpreter — bash scripts/start-server.sh …, bash scripts/review-package …, node ./render-graphs.js … — and a script that runs a sibling script needs the same treatment (#2134). Don’t “tidy” the prefixes away, and don’t reach for a packaging-side chmod: the mode loss happens on the consumer’s side, so only the invocation form survives it.

  • Write install docs. A docs/README.<harness>.md and/or a .<harness>/INSTALL.md (see docs/README.opencode.md and .opencode/INSTALL.md), plus an install section in the top-level README.md. The only supported install action is running the harness’s own install command (agy plugin install, gemini extensions install, /plugin install, etc.). Hand-copying skill files and editing the user’s global/personal config are both off-limits (rule 2 / the PR rules). If the harness has no install command at all — its only surface is a user-owned config file — then it fails the “deliver via install mechanism” rule, and you should raise that rather than ship an installer that edits the user’s files.

  • Register the version. If your harness introduces a new versioned manifest, add its path and version field to .version-bump.json so scripts/bump-version.sh keeps it in lockstep (read that file to see what’s currently tracked). A new manifest that isn’t registered there will ship a stale version. If your harness instead rides an already-tracked file — pi declares itself in the repo-root package.json, which is already listed — there’s nothing new to add.

  • If no existing channel fits, you’re standing up a new one. None of the four rows may match your harness. If it needs a Codex-style external fork sync, scripts/sync-to-codex-plugin.sh is the template to clone (note its anchored include/exclude list and its PR automation). And whenever you add a new per-harness directory, add it to the other harnesses’ sync excludes (e.g. the EXCLUDES list in sync-to-codex-plugin.sh) so your dotdir doesn’t leak into their distributions.


Only relevant to the shell-hook shape. hooks/run-hook.cmd is a polyglot: a single file that’s valid as both a Windows batch script and a Unix shell script. On Windows, cmd.exe runs the batch portion, which locates bash (Git for Windows, then bash on PATH) and runs the named hook script; if no bash is found it exits cleanly so the harness still works, just without injection. On Unix, the leading : makes the batch block a no-op and the shell runs the script directly.

Two rules this enforces, which you must respect:

  • Hook scripts are extensionless (session-start, not session-start.sh). Claude Code’s Windows handling prepends bash to any command containing .sh, which would double-invoke. Name your hook script without an extension.
  • Don’t write per-OS variants of the hook script. One extensionless bash script plus the polyglot wrapper covers all three platforms.

hooks/run-hook.cmd itself is the authoritative implementation — read it. See docs/windows/polyglot-hooks.md for the background and rationale behind the dispatcher pattern.


  • Target the dev branch. One harness per PR.
  • Fill in the PR template’s “New harness support” section and paste the complete acceptance-test transcript (the “Let’s make a react todo list” session showing brainstorming auto-triggering). A PR without this proof will be closed.
  • Superpowers is a zero-dependency plugin. Don’t add a third-party runtime dependency. Adding a new harness is the one carve-out the contributor rules allow, and even then keep it to what the integration strictly requires — type-only imports that compile away are fine; runtime packages are not.
  • Don’t touch skill bodies (Part 1). If you found yourself editing a SKILL.md to make the port work, the fix belongs in your tool mapping instead.

Appendix A — Reference integrations (current)

Section titled “Appendix A — Reference integrations (current)”

Use this as the live index; when in doubt, read the files, not this table.

Harness Entry point Bootstrap mechanism Tool mapping Tests Distribution
Antigravity (agy) .antigravity-plugin/plugin.json surfaced skill index: using-superpowers’ description triggers it (no session-start hook event exists) references/antigravity-tools.md tests/antigravity/ agy plugin install git URL; Antigravity Marketplace
Claude Code .claude-plugin/plugin.json + hooks/hooks.json shell hook → hooks/session-start (hookSpecificOutput.additionalContext) native Skill tool; no adapter file needed tests/hooks/ marketplace
Codex .codex-plugin/plugin.json (declares empty hooks) native skill discovery (no session-start hook) references/codex-tools.md tests/codex/, tests/codex-plugin-sync/ fork sync (scripts/sync-to-codex-plugin.sh)
Cursor .cursor-plugin/plugin.json + hooks/hooks-cursor.json shell hook → hooks/session-start (additional_context) none needed (Claude Code–compatible tool surface) tests/hooks/ hand-authored
Copilot CLI (shares Claude Code hook path; COPILOT_CLI env) shell hook → hooks/session-start (additionalContext) none needed (Claude Code–compatible tool surface) tests/hooks/ —
Gemini CLI gemini-extension.json + GEMINI.md instructions file @-includes bootstrap + mapping references/gemini-tools.md — gemini extensions install
Kimi Code .kimi-plugin/plugin.json manifest sessionStart.skill loads using-superpowers inline skillInstructions in manifest tests/kimi/ marketplace or /plugins install GitHub URL
OpenCode .opencode/plugins/superpowers.js (root package.json main for package installs; root index.js re-export for the V2 directory form) in-process: config hook registers skills dir; experimental.chat.messages.transform (V1) / session.hook on context/compaction/generate (V2) injects user message inline in superpowers.js tests/opencode/ opencode.json plugin (V1) / plugins (V2) git URL
pi .pi/extensions/superpowers.ts in-process: package manifest registers skills; context event injects user message; lifecycle-flag + compaction-aware piToolMapping() inline and references/pi-tools.md tests/pi/ repo-root package.json fields

Appendix B — Gotchas that have bitten porters

Section titled “Appendix B — Gotchas that have bitten porters”
  • Opt-in isn’t a port. If your human partner has to do anything per session to get Superpowers, the acceptance test fails. Re-read Part 2.
  • Wrong JSON field → silent failure or double injection. Shape A only. Confirm the exact field/nesting; Claude Code reads two fields without dedup.
  • Hook-config schema varies per harness. Shape A. Cursor’s hooks-cursor.json looks nothing like the Claude Code one (version, lowercase sessionStart, relative command, no matcher/type/async). Match the closest existing file.
  • Plugin-root env var differs per harness. Shape A. The hook command uses ${CLAUDE_PLUGIN_ROOT} (Claude) or a relative path (Cursor). Use what your harness exports; the script re-derives the root itself.
  • System-message injection. Shape B injects a user message on purpose (#750, #894). Don’t “fix” it to a system message.
  • Disarming injection after the first prompt. If your harness’s transform output is not saved to session history (pi’s context result is not), the bootstrap must be injected into every provider request. A flag cleared on a per-prompt event such as pi’s agent_end drops the bootstrap after the first prompt (#2083).
  • Message-object shape is per-harness. Shape B. pi and OpenCode use incompatible shapes; discover yours, don’t copy a reference’s object literal.
  • Hunting for a skill-registration API that doesn’t exist. A harness with no skill system (not just no Skill tool) has nothing to register — the model reads SKILL.md on demand. Don’t assume a skillPaths equivalent exists.
  • Mapping in two places. For in-process plugins the mapping may live both inline and in a references/ file (pi). Update both.
  • The “never read skill files” line. It means “don’t bypass your platform’s skill-loading mechanism,” not “never use file-read.” On a no-skill-tool harness that mechanism is reading SKILL.md — say so explicitly in the mapping (Part 5).
  • .sh on Windows. Keep hook scripts extensionless (Part 7).
  • Bare scripts/foo.sh in skill prose. Packagers can strip exec bits (Part 6). Invoke bundled scripts as bash scripts/foo.sh / node scripts/foo.js.
  • Unregistered version. A new manifest not added to .version-bump.json ships stale (Part 6).
  • Editing skills to fit the harness. Never. The fix goes in the tool mapping.
Original Markdown source
docs/porting-to-a-new-harness.md
# Porting Superpowers to a New Harness
This guide explains how to add support for a new harness — an IDE, CLI, or
agent runner that isn't Claude Code — so that Superpowers skills auto-trigger
there the same way they do natively.
It is written in two layers. **Part 1–3** explain how the system works and how
to tell whether a harness can be supported at all; read these before you touch
anything. **Part 4–8** are a prescriptive procedure for an agent (supervised by
a human partner) to execute the port end to end, through distribution. An
appendix indexes the current reference integrations so you can copy the closest
one.
The integration mechanism differs across harnesses, and it will keep changing.
This guide deliberately teaches the **invariants** — the things that must be
true no matter the mechanism — and points you at a live reference implementation
to copy. When this guide and the code disagree, the code wins; fix the guide.
## Before you start
Adding a harness is the highest-stakes contribution type in this repo. Before
writing anything:
- Read `CLAUDE.md` and `.github/PULL_REQUEST_TEMPLATE.md` in full — the
contributor rules and the new-harness PR requirements are not optional.
- Search open **and closed** PRs for a prior attempt at this harness. If one
exists, understand why it stalled before starting your own.
---
## Part 1 — How Superpowers works across harnesses
Superpowers is the same content everywhere. What changes per harness is the thin
layer that delivers that content to the model and translates its instructions
into the harness's native tools. Three components:
1. **Skills (harness-agnostic).** Everything in `skills/` is the source of
truth, shared verbatim by every harness. Skills are written to describe
*actions* — "invoke a skill", "read a file", "dispatch a subagent", "create a
todo" — and never name a specific tool. This is what lets one skill body run
on Claude Code, Codex, Gemini, pi, and the rest without edits.
2. **Tool mapping (per-harness).** Each harness needs the action vocabulary
translated into its real tool names. That translation lives in
`skills/using-superpowers/references/<harness>-tools.md` and/or inline in the
harness's bootstrap injector (see Part 5). It says, e.g., "*dispatch a
subagent* → call `task` with `subagent_type`."
3. **Bootstrap (per-harness).** At the start of every session, the full
`skills/using-superpowers/SKILL.md` is injected into the model's context,
wrapped in `<EXTREMELY_IMPORTANT>` tags, with the tool mapping appended. That
injected skill is what teaches the model that skills exist and that it must
check for a relevant skill before acting. **The bootstrap is the entire
integration.** Without it, the skill files are inert — present on disk, never
invoked.
### Two rules that make this work
**1. Skills name actions, not tools.** Do **not** edit skill bodies to fit your
harness. Porting adds a tool-mapping reference and a bootstrap injector; it
never reaches into `skills/*/SKILL.md` to swap tool names. (The project's
contributor guidelines treat skill content as carefully-tuned behavior-shaping
code; rewording it for "compliance" is rejected on sight.)
**2. Everything ships through the harness's own install mechanism. Never edit the
user's files.** The bootstrap, the skills, and the tool mapping all get delivered
*as part of what the harness installs* — a plugin, an extension, a marketplace
entry, an extension-bundled context file. A port **must not** reach into a user's
global or personal config (`~/.gemini/config/AGENTS.md`, `settings.json`,
`trustedFolders.json`, a hand-edited `~/.bashrc`, etc.) to inject anything. The
harness owns what it loads; your install artifact is the only thing you get to
write. If the install mechanism genuinely can't carry the bootstrap, that is a
limitation to surface (Part 6) — never a license to hand-edit the user's config.
(Shape C is *not* an exception: Gemini's context file is fine because it ships
*inside the installed extension* and is declared by the manifest's
`contextFileName` — the harness loads the extension's own file, not a file you
edited in the user's home.)
---
## Part 2 — Can this harness be supported?
A harness can support Superpowers only if it can do all of the following. Check
these before writing code — if the first one fails, stop.
### Hard requirement: automatic session-start injection
The harness must let you inject text into the model's context **at the start of
every session, with no per-session opt-in by your human partner.** This is the
one non-negotiable capability. It can take any form:
- a **hook/event system** that runs a shell command at session start and reads
its stdout (Claude Code, Cursor, Copilot CLI), or
- an **in-process plugin/extension** with a session-start or message lifecycle
callback that can mutate the message array (OpenCode, pi), or
- an **instructions-file** convention where the harness loads a context file that
*your installed extension ships and declares* (e.g. Gemini's `contextFileName`
pointing at the extension's own `GEMINI.md`) — not a file you edit in the user's
home.
If the only way to get Superpowers in front of the model is for your human
partner to opt in each session (paste a prompt, run a command, enable a mode),
the harness
**cannot** be properly supported. The acceptance test in Part 3 will fail, and
the PR will be closed. This is the single most common reason a "port" isn't a
real port.
### The rest of the capability checklist
| Capability | Why it's needed | If absent |
|---|---|---|
| **Skill discovery + invocation** | The model must be able to load a skill's full content on demand | If there's no native skill tool, the sanctioned fallback is to `read` the relevant `SKILL.md` directly — see Part 5. A harness with neither a skill tool nor file-read cannot work. |
| **File read / write / edit** | Nearly every skill manipulates files | Essential. No workaround. |
| **Run shell commands** | TDD, verification, git workflows | Essential. |
| **Subagent / task dispatch** | `dispatching-parallel-agents`, `subagent-driven-development` | Degradable: if unavailable, those specific skills tell the model to do the work inline or report the missing capability — *never* to invent a `Task` call. Some harnesses gate this behind a config flag (e.g. Codex needs multi-agent enabled). |
| **Todo / task tracking** | Progress tracking in several skills | Degradable: fall back to a plan file or `TODO.md`. |
| **Web fetch / search** | A few skills | Degradable. |
| **Shell or polyglot script execution (Windows)** | Only for the shell-hook shape, only if you want Windows support | See Part 7. In-process-plugin harnesses sidestep this entirely. |
"Degradable" means: the skill already has fallback wording for the missing
tool. Your job in the tool mapping is to point at the real tool when it exists
and reuse that fallback wording when it doesn't.
### You may not need a new directory at all
Some "new harnesses" are really existing integrations under a different
installer. Factory's Droid, for example, consumes the Claude Code plugin via its
own `plugin install` command and needs no new files here. Before building,
check whether the harness can simply load an existing manifest. A port that adds
nothing to this repo but a paragraph in the README is a perfectly good outcome.
---
## Part 3 — Definition of done
A port is finished when **all** of these are true:
1. The `using-superpowers` bootstrap loads at session start, every session, with
no per-session opt-in.
2. A tool mapping exists for the harness (in
`references/<harness>-tools.md`, inline in the bootstrap, or both — per Part 5).
3. Skills can actually be invoked — natively, or via the documented
read-`SKILL.md` fallback — and the model follows them.
4. **The acceptance test passes.** In a clean session, the user message:
> Let's make a react todo list
auto-triggers the `brainstorming` skill *before any code is written*. Capture
the full transcript — the PR requires it.
5. Tests cover the integration (Part 5) and pass.
6. A real user can install it through the harness's own mechanism (not by
hand-copying files), and the version is tracked in `.version-bump.json` where
applicable (Part 6). Note that some installers rewrite or strip the manifest on
install (one drops it to just `{"name": …}`), so "the *installed* files report
the repo version" is not always achievable — track the version at the source
manifest and don't treat a rewritten installed manifest as a failure.
A quick smoke check before the full acceptance test: start a session and ask the
model to describe its superpowers. If the bootstrap injected, it knows it has
them. (OpenCode's install doc uses `opencode run --print-logs "hello" 2>&1 |
grep -i superpowers` for the same goal via a different mechanism — log-grep
rather than asking the model; the `2>&1` matters because logs go to stderr. Find
your harness's equivalent.)
---
## Part 4 — Choose your integration shape
There are three structural shapes, distinguished by *how you get the bootstrap
in front of the model*. Pick the one that matches what your harness exposes,
then copy that reference implementation. The shape determines almost everything
in Part 5 — the steps below branch on it.
### How to tell which shape you have
Before routing, learn the harness's *actual* mechanism — and don't assume it's
well documented or that it behaves like whatever harness it forked from.
**Find the surface:**
- **Search the web for the harness's docs** (extension / plugin / hook / skill /
MCP / "context file" / "rules file"). Vendor tools change fast; search rather
than trust training knowledge.
- **Find and read an existing third-party extension/plugin for the harness.** A
real working example beats docs — it shows the manifest shape, the install
command, and which components the harness actually loads.
- Check what the harness loads at startup: a settings file? an extensions
directory? a per-project or global instructions file (`AGENTS.md`, `<NAME>.md`)?
**If it's underdocumented, reverse-engineer it empirically** (a real porter has
had to do every one of these):
- `strings` the binary / grep the install tree for hook event names, config
paths, and the instructions file it reads.
- **Ask the running model to enumerate its own tool names** — e.g. "list the
exact machine names of every tool you can call." This is the authoritative way
to get tool names without inventing them (see Step 4).
- Prove every assumption with a **unique-marker test**: inject a nonsense token
through the mechanism you think works, start a fresh session, and confirm the
token actually reached the model.
**A fork does not inherit its parent's behavior.** A harness derived from another
(e.g. a Gemini-derived CLI) may expose the parent's manifest fields and
`@`-include syntax and *still not honor them the same way*. Verify with a marker;
never assume the parent's recipe transfers.
Then route to a shape:
- Shell command at session start whose stdout is read → **Shape A**.
- Plugin/extension module with lifecycle callbacks you run code in → **Shape B**.
- Only ever an always-on instructions file, no hook and no code plugin →
**Shape C**.
**Shapes compose — they are not mutually exclusive.** The *skill-discovery*
mechanism and the *bootstrap* mechanism need not be the same shape — but **both
must still ride the install mechanism** (rule 2). Decide the two questions
separately: *where do skills get discovered?* and *how does the bootstrap reach
the model every session?* A harness might install skills via a plugin yet need
the bootstrap delivered another install-shipped way (an extension-declared
context file, or — see below — by the harness surfacing the installed
`using-superpowers` skill's own description at session start). If more than one
install-mechanism surface injects automatically, prefer the most reliable. What
you may **not** do is bridge a gap by editing the user's global config.
### Shape A — Shell-hook
The harness has a hook system that runs a shell command at session start and
reads JSON from its stdout. The configured command runs `run-hook.cmd`, a
polyglot wrapper that just locates bash and dispatches the named script; the
script (`hooks/session-start`, or a harness-specific variant) is what reads
`using-superpowers/SKILL.md` and prints a JSON object whose **field name and
nesting differ per harness**.
- Reference: `hooks/session-start`, `hooks/run-hook.cmd`, and the per-harness
hook config `hooks/hooks.json` (Claude Code) and `hooks/hooks-cursor.json`
(Cursor).
- Manifests: `.cursor-plugin/plugin.json` is the Shape A manifest example that
points the harness at `./skills/` and the right `hooks-*.json`. Claude Code's
`.claude-plugin/plugin.json` sets neither field — it auto-discovers `skills/`
and `hooks/hooks.json` by convention. Do **not** copy Codex's
`.codex-plugin/plugin.json` for Shape A: it declares an empty `hooks` object
specifically to suppress Codex's `hooks/hooks.json` auto-discovery, because
Codex surfaces skills natively and runs no session-start hook.
> **A hook *system* is not a session-start *event*.** A harness can have a
> `hooks.json` mechanism — and even contain the literal string `SessionStart` in
> its binary — while having no hook event that fires at session start and can
> inject context. (One real harness only exposed pre/post-tool and stop events;
> the `SessionStart` strings were telemetry.) Confirm the *specific event* you
> need exists and can write to the model's context before committing to Shape A.
> If it can't, the bootstrap belongs in an instructions file (Shape C) instead.
### Shape B — In-process plugin / extension
The harness loads a JS/TS module that exposes lifecycle callbacks. You register
the skills directory through the harness's API and inject the bootstrap by
mutating the message array in code.
- Reference: `.opencode/plugins/superpowers.js` (JavaScript) and
`.pi/extensions/superpowers.ts` (TypeScript). pi is the closest reference for
any harness that has **no native skill tool**.
### Shape C — Instructions-file
The harness has neither a shell hook nor a code plugin — its session-start
surface is a context file that *your installed extension ships and the manifest
declares* (e.g. Gemini's `contextFileName` → the extension's own `GEMINI.md`).
You can't run code or mutate messages; the extension's context file points at the
bootstrap. There is no injector to assemble a string or strip frontmatter — the
harness loads the referenced content as-is. **This works only because the file is
part of the installed extension** — never substitute "edit the user's global
`GEMINI.md`/`AGENTS.md`" for shipping your own (rule 2).
- Reference: `gemini-extension.json` (manifest, with `contextFileName`),
`GEMINI.md` (two `@`-includes — the bootstrap skill and the tool-mapping
reference), `skills/using-superpowers/references/gemini-tools.md`.
- Note: `@`-include is a Gemini feature. If your harness loads an instructions
file but has no include syntax, you must inline the bootstrap content into the
file instead.
- **Don't trust that an `@`-include is actually expanded — prove it.** A
Gemini-*derived* harness can accept `@./path` syntax yet treat it as a *hint
the model may choose to read* (it emits a file-read tool call) rather than a
guaranteed inline expansion. That's the difference between the bootstrap being
reliably present every session and the model maybe-reading it. Run a
unique-marker test: if the marker isn't in context *without* a tool call,
**inline the content** rather than `@`-include it.
### Routing table
| If the harness… | Use shape | Copy from |
|---|---|---|
| runs a shell command at session start and reads its stdout | A (shell-hook) | Cursor (`hooks/session-start` + `hooks/hooks-cursor.json` + `.cursor-plugin/`) |
| is a JS/TS plugin host with session/message lifecycle callbacks | B (in-process) | OpenCode (`.opencode/`) — or pi (`.pi/`) if it has no native skill tool |
| ships an extension-declared context file it always loads | C (instructions-file) | Gemini (`gemini-extension.json` + `GEMINI.md` + `references/gemini-tools.md`) |
| lists each installed skill's description, with no session-start event and no context-file field | skill-index bootstrap (Part 5 Step 5, case 2 fallback) | Antigravity (`.antigravity-plugin/plugin.json` + `skills/` only) |
Most real harnesses fit one row cleanly; the last is the soft case — see Step 5's
fallback caveats (rule 2 still holds — never a user-config edit).
---
## Part 5 — The porting procedure
### Step 1 — Study the closest reference implementation
Open the files named in Part 4 for your shape and read them end to end. The
patterns below are summaries; the code is the spec.
### Step 2 — Create the manifest / entry point
Create whatever the harness uses to recognize the plugin. Match the existing
ones in spirit:
- **Shape A:** a `*-plugin/plugin.json` (see `.cursor-plugin/plugin.json`) with
`name`, `version`, `description`, author/license/keywords, `"skills":
"./skills/"`, and `"hooks": "./hooks/hooks-<harness>.json"`. Plus the
`hooks-<harness>.json` itself, registering a session-start hook whose command
invokes `run-hook.cmd`.
- **Shape B:** the module the harness loads (e.g. `.<harness>/plugins/*.js`) plus
whatever package metadata it needs to be discovered. The committed package
metadata is the **repo-root `package.json`**: `main` points at the OpenCode
plugin, the `pi` field (`pi.extensions`, `pi.skills`) plus the `pi-package`
keyword declare the pi extension. Per-harness local manifests and lockfiles are
kept out of git — `.opencode/.gitignore` excludes `node_modules`,
`package.json`, and lockfiles. Do the same for your harness's *local* install
artifacts so they don't pollute the repo — but never gitignore the repo-root
`package.json`, which is the tracked source of truth.
- **Build/dependency check.** Decide how the harness loads your module:
does it run the source directly (pi's `.ts` is referenced as-is from
`package.json`; OpenCode ships plain `.js`), or does it need a transpile/build
step? Superpowers is zero-runtime-dependency. pi's `import type
{ ExtensionAPI }` works specifically because the harness runs the `.ts`
directly, supplies that type at load, and the repo never type-checks the file
in CI — the import isn't even declared as a dependency. If *your* harness
actually type-checks or bundles the plugin, that breaks: an undeclared type
import fails, and the PR rules only carve out *runtime* deps for new
harnesses, not dev/type packages. If you hit this, confirm the approach with
the maintainer rather than quietly adding a dependency. Keep any build output
out of git and document the command.
- **Shape C (instructions-file):** a small manifest (see `gemini-extension.json`:
`name`, `description`, `version`, `contextFileName`) plus the context file
itself (`GEMINI.md` is just two `@`-includes: the bootstrap skill and the
tool-mapping reference). The Gemini manifest has no `skills` field — Gemini
auto-discovers the `skills/` directory bundled in the installed extension. If
your harness has a native skill tool but no manifest field to register the
directory, you must find its discovery convention (read its extension docs),
then verify empirically: after wiring, ask the model to list its available
skills — if the bundled skills don't appear, discovery isn't working yet.
### Step 3 — Wire the bootstrap injection
This is the heart of the port. The shared goal: at session start, get the
`using-superpowers` skill content (wrapped in `<EXTREMELY_IMPORTANT>` tags) plus
the harness's tool mapping in front of the model, with a note that the skill is
already active so the model doesn't try to load it again. *How* you do that —
and what you assemble vs. what the harness loads raw — depends entirely on your
shape. Do **not** apply one shape's recipe to another.
**Shape A — a script reads `SKILL.md` and prints the harness's JSON.** The
dispatched script (`hooks/session-start`) `cat`s the whole `SKILL.md` (frontmatter
included — that's fine; it's emitted verbatim), wraps it with the "You have
superpowers… for all other skills use the Skill tool" preamble, escapes it, and
prints the harness's JSON shape. The tool mapping for Shape A does **not** go
inline here — it lives in `references/<harness>-tools.md` (Step 4). Get the JSON
output shape exactly right. `hooks/session-start`
detects the harness from environment variables and prints *one of three* shapes:
- Cursor (`CURSOR_PLUGIN_ROOT` set): `{ "additional_context": "…" }`
- Claude Code (`CLAUDE_PLUGIN_ROOT` set, `COPILOT_CLI` unset):
`{ "hookSpecificOutput": { "hookEventName": "SessionStart", "additionalContext": "…" } }`
- Copilot CLI / SDK standard (else): `{ "additionalContext": "…" }`
This is a trap. Emitting the wrong field, or an extra one, means the bootstrap
either never injects or injects twice (Claude Code reads both
`additional_context` and `hookSpecificOutput` without de-duplicating, so emitting
both double-injects). Find the
exact field, nesting, and event-matcher values your harness expects. Then
decide: add a fourth branch to `hooks/session-start`, or — if the harness needs
a different bootstrap message or env contract — add a dedicated
`hooks/session-start-<harness>` script. If you add a branch
and your harness *also* sets an env var an earlier branch keys on (some harnesses
set `CLAUDE_PLUGIN_ROOT` too), order your branch before the one that would
otherwise shadow it. Match the harness's
own event-matcher strings (Claude Code uses `startup|clear|compact`, Cursor
`sessionStart`); wrong matchers mean the hook silently never fires.
The **hook-config schema itself varies per harness** — don't assume the
Claude Code shape is universal. Compare `hooks/hooks.json` and
`hooks/hooks-cursor.json`: Cursor's uses
`"version": 1`, a lowercase `sessionStart` key, a relative
`./hooks/run-hook.cmd` command, and omits the `matcher`/`type`/`async` fields
Claude Code uses. Match your `hooks-<harness>.json` to whichever existing file is
closest, not to a single canonical template.
The hook **command string references a harness-provided plugin-root variable**,
and its name differs per harness: `hooks.json` uses `${CLAUDE_PLUGIN_ROOT}`,
`hooks-cursor.json` uses a relative path. Use
whatever your harness exports. (The `session-start` script re-derives the root
itself via `dirname`, so the script body doesn't depend on this — but the
command in the manifest does.)
**Discovering the harness's contract.** The three facts above — env var, JSON
field/nesting, matcher strings — are the harness's contract, not Superpowers',
so you have to source them. Read the harness's hook docs, or find out
empirically: register a throwaway session-start hook that dumps its environment
and emits a marker, then observe which env var identifies the harness and
whether/how the harness ingests your stdout. Pin these down before writing the
real branch.
**Shape B — assemble the string in code, then inject as a user message.** Here
you build the bootstrap yourself: read `SKILL.md`, strip its YAML frontmatter,
and assemble `<EXTREMELY_IMPORTANT>` + a short preamble that the skill is already
loaded and must not be re-invoked + the stripped body + the inline tool mapping +
`</EXTREMELY_IMPORTANT>`. One subtlety the references disagree on: OpenCode's
preamble says "do NOT use the skill tool…" (assumes a `skill` tool exists), while
pi's just says "do not try to load using-superpowers again." If your harness has
no skill tool, use pi's wording, not OpenCode's.
Inject the result as a **user-role message, not a system message** — system
messages bloat tokens when repeated every turn (#750) and multiple system
messages break some models (#894). Three things you must replicate:
- **Dedup guard.** The lifecycle callback can fire repeatedly (OpenCode's
transform runs on *every* agent step; pi's `context` fires per turn). Before
injecting, check whether a bootstrap marker is already present and skip if so.
(The references pick different markers — pi a custom string, OpenCode the
`EXTREMELY_IMPORTANT` tag; matching the tag is more robust since it needs no
harness-specific constant.) Cache the bootstrap content at module level so
you're not re-reading and re-parsing `SKILL.md` on every call (#1202).
- **Compaction.** If the harness compacts/summarizes history, re-inject
afterward. pi re-injects on every `context` call and inserts the message
*after* any leading compaction-summary messages. OpenCode relies on its
per-step re-injection plus the dedup guard.
- **Message-object shape is per-harness — discover yours, don't copy a literal.**
The two references use *incompatible* shapes: pi builds
`{ role, content: [{ type, text }], timestamp }`; OpenCode manipulates
`message.info.role` and `message.parts[]`. Find your harness's message shape
from its API; copying a reference's object literal verbatim will fail silently.
**Shape C — point your extension's context file at the bootstrap; assemble
nothing.** There is no injector, so you do *not* strip frontmatter or build a
wrapped string. The context file your extension ships (declared by the manifest —
*not* the user's own global file) pulls in two things: the `using-superpowers`
skill and the harness's tool-mapping reference. `GEMINI.md`
does this with two `@`-includes (`@./skills/using-superpowers/SKILL.md` and
`@./skills/using-superpowers/references/<harness>-tools.md`); the harness loads
them raw, frontmatter and all, and `SKILL.md` already carries its own
`<EXTREMELY-IMPORTANT>` block internally. If your harness has no include syntax,
inline the content into the instructions file instead. Gemini ships **no**
"already loaded, don't re-invoke" preamble — for an `@`-include harness the
content is the active instruction set, not a skill the model would re-load. If
you find your harness does try to re-invoke, add that note as a literal line in
the instructions file (you have no code to add it any other way).
### Step 4 — Write the tool mapping
Translate the action vocabulary into the harness's real tools. Cover every one
of these actions (omit only what genuinely doesn't apply):
- read a file
- create / edit / delete a file (one `apply_patch`-style tool, or separate
write/edit?)
- run a shell command
- search file contents / find files by name (grep, glob)
- fetch a URL / web search
- **dispatch a subagent**, including how to pass the agent type — and any config
flag needed to enable it
- **create / update todos** (treat older `TodoWrite` references as this action)
- **invoke a skill** — see Step 5
**Get the real tool names from the harness; never invent them.** If the docs
don't list them, the authoritative source is the harness itself: in a live
session, ask the model to "list the exact machine names of every tool you can
call, one per line" and use what it reports.
**How the harness finds the `skills/` directory is itself per-harness** — confirm
it, don't assume. Possibilities: a manifest `skills` path field (Codex's
`"skills": "./skills/"`); a *co-located* `skills/` the harness auto-scans (where a
path field is **ignored** — one real harness only scanned a `skills/` sitting next
to `plugin.json`); an API/registration call (OpenCode, pi); or you stage an
install dir that pairs the manifest with a **symlink to the repo's `skills/`** and
point the installer at the staging dir (verify the installer *dereferences* the
symlink and copies the real files — confirm with `agy plugin validate`/`install`
or the equivalent before relying on it). A `skills` path field is *not* portable.
Where the mapping lives depends on shape:
- **Shape A:** put it in `skills/using-superpowers/references/<harness>-tools.md`.
The agent reaches it from the bootstrap — `SKILL.md`'s "Platform Adaptation"
section links the per-harness references files. (Shape A harnesses have no
instructions file; the mapping is *not* inlined into the hook output.)
- **Shape B:** the mapping is typically inlined into the bootstrap string you
inject (see the `toolMapping` constant in `superpowers.js`). pi keeps it in
*both* places — `piToolMapping()` inline **and** `references/pi-tools.md`. If
you maintain it in two places, update both, or the port is half-done.
- **Shape C:** put it in `references/<harness>-tools.md` and pull it into the
always-loaded instructions file (e.g. `GEMINI.md` `@`-includes
`gemini-tools.md`).
You may also add a one-line pointer to your harness in `SKILL.md`'s "Platform
Adaptation" section so an agent reading the bootstrap knows where its mapping
lives. This is the one edit to a `SKILL.md` a port may make — and only because
that section is a pointer list, not behavior-shaping content. It does not violate
the "don't edit skill bodies" rule (Part 1); do not touch anything else in any
skill. (The list is a convenience pointer, not an exhaustive registry — not every
harness is listed.)
### Step 5 — Handle a harness with no native skill tool
`using-superpowers/SKILL.md` tells the model to *never read skill files manually
with file tools — always use your platform's skill-loading mechanism.* The point
is "don't bypass the mechanism," not "never use file-read." What counts as "your
platform's mechanism" depends on the harness — and for a harness with no skill
tool, the documented mechanism *is* reading `SKILL.md`. So reading it there
honors the rule rather than breaking it. Distinguish three cases:
1. **Native `Skill`-style tool** (Claude Code, Copilot CLI, Gemini's
`activate_skill`): point the mapping at that tool.
2. **Native skill *discovery* but no `Skill` tool** (pi, Antigravity): the harness
can find and list skills, but the model can't call a tool to load one. Get the
skills installed where the harness scans (pi declares them in the package
manifest's `pi.skills`; OpenCode via its `config` hook; `agy plugin install` copies
them in), and tell the model to load a skill by **reading its `SKILL.md` with
the file-read tool when the skill applies** — the sanctioned mechanism here,
the way `references/pi-tools.md` states it.
**For the bootstrap itself, prefer something the harness loads every
session (Part 6)** — a declared context file where the manifest has a
`contextFileName`-style field. Antigravity has none, and its other options
cost more than they buy, so it uses the surfaced skill index below:
- Its hooks have no session-start event. `PreInvocation` runs before every
model call; an `ephemeralMessage` it injects is dropped on the next call,
and `invocationNum` resets on each user turn. A `userMessage` gated on
`invocationNum == 0` and `initialNumSteps == 1` injects exactly once per
conversation, but agy still starts the hook process on every model call.
`${PLUGIN_ROOT}` is not set in hooks (they run from the plugin root).
`hooks.json` must sit at the plugin root; no manifest field moves it.
- It loads `rules/*.md` from a plugin every session, but harnesses that
install from the git repo share its root, and Cursor is one of them: it
also loads any `rules/*.md` a plugin ships. A file in a shared plugin root
is visible to every harness that reads that root — check before adding
one.
**Fallback — the surfaced skill index.** If there's no context-file field but
the harness surfaces each installed skill's name + description at session start,
you need *neither* a built index nor a runtime-list instruction — the harness
is the index, and `using-superpowers`'s own surfaced description can be what
triggers the model to load it. This is softer than a declared context file;
two things it does **not** give you, versus a context file / hook / in-process
injector — account for both:
- **It bootstraps *triggering*, not the *tool mapping*.** An injector prepends
`<harness>-tools.md` alongside `using-superpowers` every session. Here nothing
injects the mapping — the model only sees skill *descriptions* and must *read*
your `references/<harness>-tools.md` when it needs tool names. It works
because skills name actions (the model reads the mapping when it acts), but
it's softer than injection. Make sure the mapping is reachable from what the
model loads — e.g. linked from `SKILL.md`'s Platform Adaptation section and
installed alongside the skills — not just sitting in the repo.
- **There's no structural guarantee the trigger fires.** No `<EXTREMELY_IMPORTANT>`
wrapper, no dedup, no re-injection after compaction — firing depends on the
model choosing to act on a description it sees in the index. This is exactly
why the acceptance test is mandatory here: it is the *only* guarantee, so run
it on the model(s) your users will actually use, not just the strongest one.
3. **No skill system at all:** there is nothing to register, and the *only*
mechanism is the model reading `SKILL.md` on demand. But the model can't read
what it can't find: `using-superpowers/SKILL.md` does **not** enumerate the
available skills, so on its own the model won't know which skills exist or
their triggers. You must supply a discovery path. Two options, and they differ
in durability: (a) generate a skill index (each `skills/*/SKILL.md`'s `name` +
`description` frontmatter) and place it *inside* the `<EXTREMELY_IMPORTANT>`
wrapper alongside the tool mapping (Shape B recipe above) so it's covered by
the dedup guard — but a build-time index goes stale as skills are added; or
(b) instruct the model to list `skills/*/SKILL.md` at runtime and read their
frontmatter to find a match — slower but never stale. Prefer (b) unless you
have a reason not to. Without either, a no-skill-system port loads the
bootstrap but silently never triggers any other skill.
In cases 2 and 3, say plainly in your tool mapping that reading `SKILL.md` is the
blessed path, so the model doesn't think it's violating the "never read skill
files" rule. Don't go hunting for a `skillPaths`-style registration API in a
harness that has no skill system — case 3 has none.
### Step 6 — Add tests
Match the existing per-harness test style:
- **Shape A:** assert the hook's stdout has the exact JSON shape your harness
consumes, and that it contains the bootstrap. See `tests/hooks/test-session-start.sh`,
which validates each harness's output shape.
- **Shape B:** a unit test that fakes the harness's plugin API and asserts the
lifecycle handlers register, the bootstrap injects once, the dedup guard
works, and (if relevant) compaction re-injection works. See
`tests/pi/test-pi-extension.mjs`. Add an isolated-install integration check in
the style of `tests/opencode/`.
- If the bootstrap is cached, test that the cache behaves when the file is
missing (see the OpenCode caching tests).
These automated tests cover the wiring; the live tmux run in Step 7 is what
proves the integration actually triggers skills.
### Step 7 — Install locally, then drive a live instance to verify
You cannot confirm a port works by reading code. You have to run the harness with
your in-progress port loaded and watch a real session — which is also how you
produce the transcript the PR requires.
**Install locally.** Point a *local* instance of the harness at your working
tree, not a published build:
- **Shape A / C:** install the plugin/extension from this repo's local path (or
symlink its directory into wherever the harness looks). Find the harness's
"install from a local directory / git checkout" path in its docs.
- **Shape B:** register the local module — e.g. an `opencode.json` `plugin`
entry pointing at the local path, or pi resolving the `package.json` fields
from the repo.
Reinstall after each change and restart the harness, since the bootstrap loads at
startup.
**Drive it with tmux.** Most harnesses are interactive REPLs/TUIs that can't be
driven by piping stdin, so run the harness inside a detached tmux session and
control it with `send-keys` / `capture-pane`. A harness may advertise a
non-interactive "run one prompt" mode (e.g. `opencode run "..."`) — try it for the
quick smoke check, but **don't depend on it**: these modes are frequently flaky,
auth-gated, or trust-gated (one real harness's `--print` mode hung and timed out
with no output every time). Be ready to do *everything*, including the smoke
check, through tmux.
**Clear the gates first, or tmux stalls silently.** Many harnesses block on
first-run onboarding, a "do you trust this folder?" prompt, a sandbox mode, or a
permission gate — and a detached tmux session will just sit there with no error
while it waits. Before the run, pre-trust your scratch directory (in the harness's
settings/config) or be prepared to answer those prompts via `send-keys`, and
account for the harness's startup time in your first `sleep`.
```bash
# 1. Launch the harness detached, in a throwaway project dir
mkdir -p /tmp/port-smoke
tmux new-session -d -s port-test -c /tmp/port-smoke '<harness-launch-command>'
# 2. Let it initialize — real TUIs take longer than you think (10s+ with a model
# handshake); tune this. THEN capture and clear any blocking modal before you
# type a prompt: first-run onboarding and "trust this folder?" are modal, so
# keystrokes sent during them select menu items instead of typing your prompt.
sleep 12
tmux capture-pane -t port-test -p # onboarding / trust prompt? answer it via send-keys first
# (e.g. tmux send-keys -t port-test Enter # to accept a trust prompt — inspect before assuming)
# 3. Smoke check: does the model know it has superpowers?
# Send the text and Enter as SEPARATE send-keys with a beat between them —
# sending them together races on some TUIs (Enter arrives before the text lands).
tmux send-keys -t port-test 'What are your superpowers?'; sleep 0.4; tmux send-keys -t port-test Enter
sleep 5
tmux capture-pane -t port-test -p # reply should show it knows its skills
# 4. Acceptance test: exact prompt (note the escaped apostrophe), fresh session
tmux send-keys -t port-test 'Let'\''s make a react todo list'; sleep 0.4; tmux send-keys -t port-test Enter
# poll until the turn finishes — re-capture every few seconds, don't capture once
sleep 8
tmux capture-pane -t port-test -p # PASS = brainstorming triggers BEFORE any code
# 5. Save the transcript for the PR, then clean up
tmux capture-pane -t port-test -p > /tmp/port-smoke/transcript.txt
tmux kill-session -t port-test
```
tmux gotchas that bite here: wait after launch before the first capture; send the
prompt text and `Enter` as *separate* `send-keys` calls with a short `sleep`
between them (sending them together races on some TUIs), and `Enter` is a key name
not `\n`; the agent's turn takes time, so **poll `capture-pane` in a loop** rather
than capturing once; `capture-pane` shows only the visible pane, so for a long
conversation use the harness's own transcript/log file as the record of truth;
always `kill-session` when done.
If the smoke check shows the model *doesn't* know it has superpowers, the
bootstrap isn't loading — fix that before bothering with the acceptance test.
---
## Part 6 — Distribution and release
A working integration in this repo isn't usable until a real user can install
it. Distribution differs per harness ecosystem — find yours:
| Channel | Example | What you do |
|---|---|---|
| Native plugin marketplace | Claude Code | Register in `.claude-plugin/marketplace.json`; users `/plugin install`. The external `superpowers-marketplace` repo is the source of truth users install from — see the release steps in `CLAUDE.md`. |
| External marketplace fork, synced by script | Codex | `scripts/sync-to-codex-plugin.sh` rsyncs the tracked plugin files into a separate fork repo and opens a PR. Read its include/exclude list so you ship the right tree (it deliberately drops repo-internal dirs and other harnesses' dotdirs). |
| Git-URL extension install | Gemini, Kimi Code, OpenCode | Users install from a git URL (`gemini extensions install …`; Kimi Code `/plugins install …`; an `opencode.json` `plugin` array entry). Document the exact command. |
| Package-manifest fields | pi | Declared through fields in the repo-root `package.json`; users install via the harness's package command. |
| Git-URL plugin install + marketplace | Antigravity (`agy`) | Users run `agy plugin install https://github.com/obra/superpowers`. agy reads `.antigravity-plugin/plugin.json`, whose Marketplace fields (`displayName`, `logo`, `suggestedPrompts`, `version`, `author`) also drive the Antigravity Marketplace listing. Without that manifest, agy falls back to importing `gemini-extension.json`. |
Then:
- **A plugin installer may silently strip *undeclared* files — so make the
bootstrap a file the installer *recognizes*, never a user-config edit.** A
`plugin install` typically copies only the components it knows about
(skills/agents/commands/mcp/hooks/context) and discards anything else, so a
context file the manifest doesn't declare just vanishes from the install. The
fix is **not** to give up and write into the user's config (**rule 2**) — it's
to declare the bootstrap as a recognized component. In escalation order:
- **Ship a context file the manifest declares.** If the harness has a
`contextFileName`-style field (an extension-declared file it loads every
session), that is the strongest clean bootstrap: declare it, and the installer
preserves it *and* the harness loads it. Generate it at install time from the
live `using-superpowers/SKILL.md` + the tool mapping (wrapped in
`<EXTREMELY_IMPORTANT>`) so the installed bootstrap never drifts.
**Verify with a marker** that the installer keeps the file and the
harness loads it: a file the manifest doesn't declare can be stripped as
unrecognized.
- **Otherwise lean on the installed `using-superpowers` skill itself.** If the
harness surfaces each installed skill's name + description at session start,
the `using-superpowers` description ("Use when starting any conversation…")
can prompt the model to load it — installing the skill *is* the bootstrap.
Softer (no guaranteed wrapper; it carries triggering but not the tool mapping
— see Step 5), so prefer the declared context file when available.
- If neither works, the harness cannot be cleanly supported yet — **say so**
and raise it, rather than hand-editing the user's config.
- **Packagers can strip executable bits — skill prose invokes bundled scripts
through their interpreter.** Some marketplace packaging and install paths
lose Unix file modes: the Codex marketplace cache delivered the SDD helpers
as `0644` (#2040, #2134), and the MiniMax Code marketplace ships every file
as mode `600`. A bare `scripts/foo.sh` or `./foo.js` in a skill then fails
with `Permission denied` on that harness even though the repo's tree records
`100755`. So every script invocation in `skills/**/*.md` is spelled through
its interpreter — `bash scripts/start-server.sh …`, `bash
scripts/review-package …`, `node ./render-graphs.js …` — and a script that
runs a sibling script needs the same treatment (#2134). Don't "tidy" the
prefixes away, and don't reach for a packaging-side `chmod`: the mode loss
happens on the consumer's side, so only the invocation form survives it.
- **Write install docs.** A `docs/README.<harness>.md` and/or a
`.<harness>/INSTALL.md` (see `docs/README.opencode.md` and
`.opencode/INSTALL.md`), plus an install section in the top-level `README.md`.
The only supported install action is **running the harness's own install
command** (`agy plugin install`, `gemini extensions install`, `/plugin
install`, etc.). Hand-copying skill files and editing the user's global/personal
config are *both* off-limits (rule 2 / the PR rules). If the harness has no
install command at all — its only surface is a user-owned config file — then it
fails the "deliver via install mechanism" rule, and you should raise that rather
than ship an installer that edits the user's files.
- **Register the version.** If your harness introduces a *new* versioned
manifest, add its path and version field to `.version-bump.json` so
`scripts/bump-version.sh` keeps it in lockstep (read that file to see what's
currently tracked). A new manifest that isn't registered there will ship a
stale version. If your harness instead rides an already-tracked file — pi
declares itself in the repo-root `package.json`, which is already listed —
there's nothing new to add.
- **If no existing channel fits, you're standing up a new one.** None of the four
rows may match your harness. If it needs a Codex-style external fork sync,
`scripts/sync-to-codex-plugin.sh` is the template to clone (note its anchored
include/exclude list and its PR automation). And whenever you add a new
per-harness directory, add it to the *other* harnesses' sync excludes (e.g. the
EXCLUDES list in `sync-to-codex-plugin.sh`) so your dotdir doesn't leak into
their distributions.
---
## Part 7 — Cross-platform / Windows
Only relevant to the shell-hook shape. `hooks/run-hook.cmd` is a polyglot: a
single file that's valid as both a Windows batch script and a Unix shell script.
On Windows, `cmd.exe` runs the batch portion, which locates `bash` (Git for
Windows, then `bash` on PATH) and runs the named hook script; if no bash is
found it exits cleanly so the harness still works, just without injection. On
Unix, the leading `:` makes the batch block a no-op and the shell runs the
script directly.
Two rules this enforces, which you must respect:
- **Hook scripts are extensionless** (`session-start`, not `session-start.sh`).
Claude Code's Windows handling prepends `bash` to any command containing
`.sh`, which would double-invoke. Name your hook script without an extension.
- Don't write per-OS variants of the hook script. One extensionless bash script
plus the polyglot wrapper covers all three platforms.
`hooks/run-hook.cmd` itself is the authoritative implementation — read it. See
`docs/windows/polyglot-hooks.md` for the background and rationale behind the
dispatcher pattern.
---
## Part 8 — Submitting the PR
- Target the **`dev`** branch. One harness per PR.
- Fill in the PR template's **"New harness support"** section and paste the
complete acceptance-test transcript (the "Let's make a react todo list"
session showing `brainstorming` auto-triggering). A PR without this proof will
be closed.
- Superpowers is a zero-dependency plugin. Don't add a third-party runtime
dependency. Adding a new harness is the one carve-out the contributor rules
allow, and even then keep it to what the integration strictly requires —
type-only imports that compile away are fine; runtime packages are not.
- Don't touch skill bodies (Part 1). If you found yourself editing a `SKILL.md`
to make the port work, the fix belongs in your tool mapping instead.
---
## Appendix A — Reference integrations (current)
Use this as the live index; when in doubt, read the files, not this table.
| Harness | Entry point | Bootstrap mechanism | Tool mapping | Tests | Distribution |
|---|---|---|---|---|---|
| Antigravity (`agy`) | `.antigravity-plugin/plugin.json` | surfaced skill index: `using-superpowers`' description triggers it (no session-start hook event exists) | `references/antigravity-tools.md` | `tests/antigravity/` | `agy plugin install` git URL; Antigravity Marketplace |
| Claude Code | `.claude-plugin/plugin.json` + `hooks/hooks.json` | shell hook → `hooks/session-start` (`hookSpecificOutput.additionalContext`) | native `Skill` tool; no adapter file needed | `tests/hooks/` | marketplace |
| Codex | `.codex-plugin/plugin.json` (declares empty `hooks`) | native skill discovery (no session-start hook) | `references/codex-tools.md` | `tests/codex/`, `tests/codex-plugin-sync/` | fork sync (`scripts/sync-to-codex-plugin.sh`) |
| Cursor | `.cursor-plugin/plugin.json` + `hooks/hooks-cursor.json` | shell hook → `hooks/session-start` (`additional_context`) | none needed (Claude Code–compatible tool surface) | `tests/hooks/` | hand-authored |
| Copilot CLI | (shares Claude Code hook path; `COPILOT_CLI` env) | shell hook → `hooks/session-start` (`additionalContext`) | none needed (Claude Code–compatible tool surface) | `tests/hooks/` | — |
| Gemini CLI | `gemini-extension.json` + `GEMINI.md` | instructions file `@`-includes bootstrap + mapping | `references/gemini-tools.md` | — | `gemini extensions install` |
| Kimi Code | `.kimi-plugin/plugin.json` | manifest `sessionStart.skill` loads `using-superpowers` | inline `skillInstructions` in manifest | `tests/kimi/` | marketplace or `/plugins install` GitHub URL |
| OpenCode | `.opencode/plugins/superpowers.js` (root `package.json` `main` for package installs; root `index.js` re-export for the V2 directory form) | in-process: `config` hook registers skills dir; `experimental.chat.messages.transform` (V1) / `session.hook` on `context`/`compaction`/`generate` (V2) injects user message | inline in `superpowers.js` | `tests/opencode/` | `opencode.json` `plugin` (V1) / `plugins` (V2) git URL |
| pi | `.pi/extensions/superpowers.ts` | in-process: package manifest registers skills; `context` event injects user message; lifecycle-flag + compaction-aware | `piToolMapping()` inline **and** `references/pi-tools.md` | `tests/pi/` | repo-root `package.json` fields |
## Appendix B — Gotchas that have bitten porters
- **Opt-in isn't a port.** If your human partner has to do anything per session
to get Superpowers, the acceptance test fails. Re-read Part 2.
- **Wrong JSON field → silent failure or double injection.** Shape A only.
Confirm the exact field/nesting; Claude Code reads two fields without dedup.
- **Hook-config schema varies per harness.** Shape A. Cursor's `hooks-cursor.json`
looks nothing like the Claude Code one (`version`, lowercase `sessionStart`,
relative command, no `matcher`/`type`/`async`). Match the closest existing file.
- **Plugin-root env var differs per harness.** Shape A. The hook command uses
`${CLAUDE_PLUGIN_ROOT}` (Claude) or a relative path
(Cursor). Use what your harness exports; the script re-derives the root itself.
- **System-message injection.** Shape B injects a *user* message on purpose
(#750, #894). Don't "fix" it to a system message.
- **Disarming injection after the first prompt.** If your harness's transform
output is not saved to session history (pi's `context` result is not), the
bootstrap must be injected into every provider request. A flag cleared on a
per-prompt event such as pi's `agent_end` drops the bootstrap after the first
prompt (#2083).
- **Message-object shape is per-harness.** Shape B. pi and OpenCode use
incompatible shapes; discover yours, don't copy a reference's object literal.
- **Hunting for a skill-registration API that doesn't exist.** A harness with no
skill system (not just no `Skill` tool) has nothing to register — the model
reads `SKILL.md` on demand. Don't assume a `skillPaths` equivalent exists.
- **Mapping in two places.** For in-process plugins the mapping may live both
inline and in a `references/` file (pi). Update both.
- **The "never read skill files" line.** It means "don't bypass your platform's
skill-loading mechanism," not "never use file-read." On a no-skill-tool harness
that mechanism *is* reading `SKILL.md` — say so explicitly in the mapping
(Part 5).
- **`.sh` on Windows.** Keep hook scripts extensionless (Part 7).
- **Bare `scripts/foo.sh` in skill prose.** Packagers can strip exec bits
(Part 6). Invoke bundled scripts as `bash scripts/foo.sh` / `node scripts/foo.js`.
- **Unregistered version.** A new manifest not added to `.version-bump.json`
ships stale (Part 6).
- **Editing skills to fit the harness.** Never. The fix goes in the tool mapping.