doc-serve
Advanced document search with BM25 keyword matching, semantic vector search, and hybrid retrieval.Enables precise technical queries, conceptual understanding, and intelligent result fusion.Supports local document indexing and provides comprehensive search capabilities for knowledge bases.
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/doc-serve-skill/doc-serveskilz install SpillwaveSolutions/doc-serve-skill/doc-serve --agent opencodeskilz install SpillwaveSolutions/doc-serve-skill/doc-serve --agent codexskilz install SpillwaveSolutions/doc-serve-skill/doc-serve --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/doc-serve-skillcp -r doc-serve-skill/doc-serve-skill/doc-serve ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- doc-serve-skill
- Forks
- 1
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- api search data
- Market Score
- 88
Agent Skill Grade
B Score: 88/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing TOC in main SKILL.md
- Redundant search mode table
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-19
Developer Feedback
I took a look at your doc-serve skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 88/100, solidly in B territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Ease of Use (22/25) — the trigger list and metadata are really well done. The weakest is Spec Compliance (12/15), which is dragging you down a few points. Overall, it's a functional, practical skill that just needs some structural polish.
What's Working Well
- Excellent trigger variety — "doc serve", "search domain", "hybrid search", etc. give natural activation paths. Users will find this easily.
- Rich reference architecture — Five focused reference documents (BM25, vector, hybrid, troubleshooting, API) with clear one-level separation. That's solid Progressive Disclosure.
- Comprehensive troubleshooting coverage — The troubleshooting guide validates setup and gives debugging output patterns. Real practical value here.
- Good CLI/API examples — Input/output pairs and integration scripts show how to actually use this, not just theory.
The Big One: Missing Trigger Phrases in Description
Your frontmatter description says "Advanced document search with BM25 keyword matching, semantic vector search, and hybrid retrieval" — but it's missing trigger phrases. The spec requires phrases like "Use when asked to..." that help Claude understand how to activate the skill naturally.
Fix: Rewrite the description to something like:
Performs doc serve operations. Use when asked to "doc serve", "run doc serve", "semantic search", or "hybrid document search".
This is worth +2 points alone and moves you closer to A territory.
Other Things Worth Fixing
- **Add a t...
AI-Detected Topics
Extracted using NLP analysis
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