"documentation-specialist"
| This skill should be used when creating professional software documentation (SRS, PRD, OpenAPI, user manuals, tutorials, runbooks) from templates (greenfield) or reverse-engineering documentation from existing code like Spring Boot or FastAPI (brownfield). Also handles documentation audits/reviews, format conversion (Markdown, DOCX, PDF), and diagram generation (C4, Mermaid, PlantUML, ER, sequence).
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist"skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --agent opencodeskilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --agent codexskilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --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/document-specialist-skillcp -r document-specialist-skill ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- document-specialist-skill
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- word style format
- Market Score
- 94
Agent Skill Grade
A Score: 94/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing brownfield examples
- Workflow files missing internal TOC
- Template files are large
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 documentation-specialist skill and wanted to share some thoughts.
Links:
TL;DR
You're at 94/100, solidly in A territory. This is a well-architected skill with excellent PDA implementation and comprehensive coverage. Your strongest area is Spec Compliance (14/15) – the YAML frontmatter is clean, naming conventions are correct, and your trigger phrases are well-chosen. Weakest link is Utility (18/20) – mostly because some promised examples aren't actually there yet.
What's Working Well
Progressive Disclosure Architecture is chef's kiss. Your 3-tier structure (SKILL.md → 8 workflows → sub-guides) with explicit token budgets (~350 tokens per workflow) is the kind of thing other skills should copy. The 65+ files are organized by function, not chaos.
Intent classification is solid. Your description covers 5 distinct capabilities with 8 trigger phrases ("greenfield docs", "brownfield extraction", "audit", "convert", "diagrams"). Users will actually find this skill when they need it.
Reference architecture stays shallow. Everything is one level from SKILL.md – no deep nesting traps. The TOC.md files with token budgets show you're thinking about developer experience.
You've got examples. 8 real-world examples (billing SRS, pet clinic runbook, etc.) plus 9 templates. That's the kind of concrete stuff that makes a skill actually usable.
The Big One: Missing Brownfield Examples
Your references/examples/TOC.md promises brownfield examples that don't exist yet:
spring-boot-petclinic/(referenced but not present)fastapi-todo-app/(referenced but not present)- etc.
Why this matters: Brownfield workflows are your differentiator – they show how to extract...
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