"documentation-specialist"

94
A

| 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

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skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist"
skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --agent opencode
skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --agent codex
skilz install SpillwaveSolutions/document-specialist-skill/"documentation-specialist" --agent gemini

First time? Install Skilz: pip install skilz

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/document-specialist-skill
2. Copy the agent skill directory:
cp -r document-specialist-skill ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

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

Spec Compliance
14/15
PDA Architecture
28/30
Ease of Use
23/25
Writing Style
9/10
Utility
18/20
Modifiers: +2

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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