Skill Seekers
Paste the following prompt into your AI chat to install this skill:
Please follow the guide at https://skillhub.cn/install/skillhub.md to install @org-02qudk26/skill-seekers into your AI assistant.
About this skill
Problem
Documentation is often split across documentation sites, GitHub repositories, and PDFs. Turning that material into a Claude skill usually requires manually structuring context, extracting constraints, and drafting reusable instructions. skill-seekers addresses this documentation-to-skill conversion problem rather than acting as a general search, reading, or summarization tool.
How It Works
The skill centers on converting three kinds of source material:
- Documentation sites: organize scattered pages into skill-ready guidance
- GitHub repositories: extract task-relevant instructions, examples, and constraints from repo content
- PDFs: convert offline procedures, rules, and examples into skill descriptions
Its focus is on conversion guidance and patterns: how to shape raw material into a structure that Claude AI can use. For engineers, the value is reducing the manual lift from reference material to a skill draft, not generating complete business logic by itself.
Limits
It fits best when the source material is complete enough and the intended skill boundary is clear. If the source docs lack steps, API details, or usage limits, the converted output still needs manual completion. More concrete behavior should be checked in the source repository.
Use Cases
- Turn an internal docs site into reusable Claude skill notes.
- Convert usage guidance from a GitHub repository into a skill draft.
- Extract product PDF procedures into Claude-callable skills.
- Build a structured conversion template for existing tooling docs.
Best For
- AI engineers who need to turn documentation into Claude skills.
- Product engineers maintaining internal tooling documentation.
- Automation engineers who want skill notes from GitHub repos.
- Applied AI developers organizing PDF workflows into skill drafts.
Related Skills
Turn vague requests into structured prompts with role, task, context, and constraints, outputting only usable prompts without executing the task.
A skill for game NPC and enemy AI that separates decision, steering, and pathfinding, covering FSMs, behavior trees, A*, path caching, and pitfalls.
Provides multi-turn emotional companion chat through a third-party Agent API and supports continuing sessions via session_id.
An evaluation-driven workflow for diagnosing, optimizing, validating, and logging Agent Skills based on design patterns and anti-patterns.