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Maktaba

Skills

Agent skill repos imported from GitHub. Each one shows its skills file by file, with a note on what each script or data file does and why it is there.

  • Skills For Real Engineers mattpocock/skills Matt Pocock's own set of agent skills for daily software engineering and for general workflow, which the README describes as made for "real engineering - not vibe coding". The skills are small and meant to be combined, rather than a framework that owns the whole process, and they rest on established engineering ideas: interviews ("grilling") to align with the agent before work starts, a shared domain glossary, red-green TDD, and deep modules. What sets the repo apart is a strict split between skills only the user can start and skills the agent may reach for on its own, and a main flow that runs from an idea through a spec and tickets to reviewed code. 39 skills · 118 files · imported 2026-11-10 · 4 warnings, 27 notes from automated checks
  • Superpowers obra/superpowers Superpowers is a software development method for coding agents, made by Jesse Vincent and Prime Radiant and packaged as 15 skills plus a short bootstrap that runs at the start of every session. The skills take a piece of work from a brainstormed design, through a written plan of small test-first tasks, to implementation by fresh subagents with a review after each task and a final review of the whole branch. What sets it apart is that the skills trigger on their own instead of waiting to be called, the same skills install into more than a dozen coding agents from this one repo, and the skill text is tuned with pressure tests and evals, including tables of the excuses agents use to skip a step. 15 skills · 109 files · imported 2026-11-10 · 7 warnings, 19 notes from automated checks
  • book-to-skill virgiliojr94/book-to-skill book-to-skill is a single agent skill, made by virgiliojr94, that turns a book or other document into a new skill: a `SKILL.md` core, one file per chapter, a glossary, a patterns file, and a cheatsheet of decision rules. It accepts PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, and, through Calibre, MOBI and AZW. The work is split between a deterministic Python extractor, which produces clean text and metadata, and the agent, which follows `SKILL.md` to write the skill. Much of the extractor is defensive: it strips invisible Unicode that can hide prompt injection, detects chapter headings in more than 20 languages, and comes with a scanner for the generated skill and a large regression test suite. 1 skill · 24 files · imported 2026-11-10 · 12 warnings, 7 notes from automated checks