Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yusufkaraaslan/skill-builder
Automatically detect source types and build AI skills using Skill Seekers.
Passed 19 of 22 test cases with the skill, and 4 of 22 without it.
and 12 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact pip command to install this skill conversion package along with its MCP server extras?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies pip install "skill-seekers[mcp]". | Missed | Passed |
The instructions your model reads when the skill loads.
This skill uses the Skill Seekers MCP server, which provides 40 tools for converting knowledge sources into AI-ready skills. If the MCP tools are not available, use the CLI fallback at the bottom of this file instead — do not stop.
The MCP tools below only work when the Skill Seekers MCP server is connected:
pip install "skill-seekers[mcp]".mcp.json starts the server automatically (it still needs step 1).~/.claude/skills/)? Register the server once: claude mcp add skill-seekers -- python -m skill_seekers.mcp.server_fastmcpIf tools like scrape_docs or package_skill are not in your tool list, the server is not connected. Tell the user about the two steps above, and use the CLI fallback in the meantime.
Use this skill when the user:
Automatically detect the source type from user input:
| Input Pattern | Source Type | Tool to Use |
|---|---|---|
https://... (not GitHub/YouTube) | Documentation | scrape_docs |
owner/repo or github.com/... | GitHub | scrape_github |
*.pdf | scrape_pdf | |
| YouTube/Vimeo URL or video file | Video | scrape_video |
| Local directory path | Codebase | scrape_codebase |
*.ipynb, *.html, *.yaml (OpenAPI), *.adoc, *.pptx, *.rss, *.1-.8 | Various | scrape_generic |
| JSON config file | Unified | Use config with scrape_docs |
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.