Skill Seekers

Table of content

skill seekers is a tool that auto-generates AI agent skills from project documentation.

the workflow: feed it your docs. it spits out skill files. drop those files in your project. your agent gains capabilities.

no manual prompt writing. no hours tweaking instructions. the skills come from the docs you already have.

first spotted in signals — 2026-02-11 .

→ github.com/yusufkaraaslan/Skill_Seekers

what it is

a code generation tool that turns documentation into claude-compatible skill files.

you point it at: → project docs
→ API references
→ coding standards
→ workflow guides

it generates: → structured skill files (markdown)
→ context blocks for claude
→ examples and usage patterns

the result: your agent knows your project’s conventions without you explaining them manually.

why it matters

writing agent skills is tedious.

you need to: → document what the skill does
→ provide examples
→ specify context requirements
→ format it correctly
→ test it
→ maintain it when things change

skill seekers automates the first pass. it reads your docs and generates the skill structure. you review and refine.

the time savings: hours → minutes.

the pattern

this is part of a broader shift: skills as portable artifacts.

the old model: manually write custom prompts, tweak endlessly, hope the model understands.

the new model: your docs become skills. the skills become files. the files become your agent’s capabilities.

other tools in this space: → microsoft/skills — official skills catalog
→ AI agent skills catalogs — broader ecosystem

skill seekers slots into the generation layer. instead of browsing a catalog, you auto-generate skills from your existing docs.

how it works

  1. input: point skill seekers at your documentation (markdown, html, API specs, etc.)
  2. extraction: it parses the structure, examples, and patterns
  3. generation: it outputs skill files formatted for claude
  4. integration: you drop the skill files into your project’s context
  5. execution: claude reads the skills and gains the capabilities

the generated skills are starting points. you review them. refine them. version-control them.

use cases

→ onboarding agents to new projects — generate skills from your README, contributing guides, and API docs
→ standardizing agent behavior — ensure all agents follow your coding standards
→ maintaining context — when docs change, regenerate skills
→ scaling agent teams — generate skills once, distribute to all agents

the risk

auto-generated skills aren’t perfect.

the tool reads your docs and infers patterns. but it doesn’t understand intent. if your docs are unclear, the generated skills will be too.

garbage in, garbage out.

the workflow:

  1. generate skills
  2. review them (this step is mandatory)
  3. test them
  4. refine as needed

don’t ship auto-generated skills without review. a bad skill corrupts your agent’s workflow.

who this is for

→ teams with existing documentation that want to skill-ify it
→ developers tired of manually writing skill files
→ projects with frequent doc updates (regenerate skills automatically)
→ anyone exploring agent skill composition

who this is NOT for

→ projects without docs (nothing to generate from)
→ anyone expecting perfect, production-ready skills (review required)
→ non-technical users (this is a dev tool)

the ecosystem

skill seekers is one piece of the skills-as-files movement:

→ microsoft/skills — curated catalog
→ AI agent skills catalogs — the broader landscape
→ rowboat — markdown knowledge graphs
→ AGENTS.md, CLAUDE.md — file-native context patterns

the common thread: agent capabilities live in files, not APIs.

skill seekers automates the creation of those files.

self.md take

auto-generating skills from docs is a force multiplier.

the upside: you save hours. your docs become agent-readable. your skills stay in sync with your project.

the downside: auto-generated skills need review. if your docs are messy, the skills will be too.

the workflow: generate → review → refine → ship.

skip the review step and you get bad skills. bad skills corrupt agent behavior.

the opportunity: integrate this into CI/CD. when docs change, auto-regenerate skills. test them. version them. treat skills like code.

right now skill seekers is a manual tool. the endgame: continuous skill generation as part of your build pipeline.

docs change → skills regenerate → agents stay in sync.

nobody’s shipping that yet. but the foundation is here.

→ microsoft/skills — official skills catalog
→ AI agent skills catalogs — the broader ecosystem
→ rowboat — markdown knowledge graphs for context
→ signals — save games, boundary leaks, and the self-hosted exodus