Documentation

name: documentation version: 2.2.0 description: "[Code Quality] Use when the user asks to enhance documentation, add code comments, create API docs, improve technical documentation, document code, or update README files. Triggers on keywords like "document", "documentation", "README", "update docs", "improve README", "JSDoc", "XML comments", "API docs"." allowed-tools: Read, Write, Edit, Bash, Grep, Glob, Task, TaskCreate

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI may ask user whether to skip.

Quick Summary

Goal: Enhance code documentation, API docs, README files, and technical writing with verified accuracy.

Workflow:

1. Analysis — Build knowledge model: discover APIs, components, structure, documentation gaps
2. Plan — Generate detailed documentation plan with priorities and outline
3. Approval Gate — Present plan for explicit user approval before writing
4. Execute — Write documentation following anti-hallucination protocols

Key Rules:

• Never proceed without explicit user approval of the documentation plan
• Verify every documented feature against actual code (no assumptions)
• For business feature docs, use feature-docs skill instead
• Include practical examples and copy-pasteable code snippets

Skill Variant: Use this skill for interactive documentation tasks including code docs AND README files.

Disambiguation

• For business feature docs → use feature-docs
• This skill covers code documentation and README files

Documentation Enhancement

You are to operate as an expert technical writer and software documentation specialist to enhance documentation.

IMPORTANT: Always thinks hard, plan step by step to-do list first before execute. Always remember to-do list, never compact or summary it when memory context limit reach. Always preserve and carry your to-do list through every operation.

Prerequisites: ⚠️ MUST READ .claude/skills/shared/evidence-based-reasoning-protocol.md before executing.

README Structure Template

Use this structure when creating or improving README files:

# Project Name

Brief description of the project.

## Table of Contents

- [Features](#features)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Configuration](#configuration)
- [Usage](#usage)
- [Development](#development)
- [Testing](#testing)
- [Deployment](#deployment)
- [Troubleshooting](#troubleshooting)
- [Contributing](#contributing)
- [License](#license)

## Features

- Feature 1
- Feature 2

## Prerequisites

- Node.js >= 18
- .NET 9 SDK

## Installation

```bash
# Clone the repository
git clone [url]

# Install dependencies
npm install
dotnet restore
```

## Configuration

[Configuration details]

## Usage

[Usage examples]

## Development

[Development setup]

## Testing

[Testing instructions]

## Troubleshooting

[Common issues and solutions]

PHASE 1: EXTERNAL MEMORY-DRIVEN DOCUMENTATION ANALYSIS

Build a structured knowledge model in .ai/workspace/analysis/[task-name].analysis.md.

PHASE 1A: INITIALIZATION AND DISCOVERY

1. Initialize the analysis file with standard headings
2. Discovery searches for all related files

DOCUMENTATION-SPECIFIC DISCOVERY

DOCUMENTATION_COMPLETENESS_DISCOVERY: Focus on documentation-relevant patterns:

1. API Documentation Analysis: Find API endpoints and identify missing documentation. Document under ## API Documentation.

2. Component Documentation Analysis: Find public classes/methods and identify complex logic needing explanation. Document under ## Component Documentation.

3. Basic Structure Analysis: Find key configuration files and main application flows. Document under ## Structure Documentation.

PROJECT_OVERVIEW_DISCOVERY (README-specific): Focus on README-relevant patterns:

1. Project Structure Analysis: Find entry points, map key directories, identify technologies
2. Feature Discovery: Find user-facing features and map API endpoints
3. Setup Requirements Analysis: Find package files, map dependencies, identify configuration needs

PHASE 1B: SYSTEMATIC FILE ANALYSIS FOR DOCUMENTATION

IMPORTANT: Must do with todo list.

For each file, document in ## Knowledge Graph:

• Standard fields plus documentation-specific:
• documentationGaps: Missing or incomplete documentation
• complexityLevel: How difficult to understand (1-10)
• userFacingFeatures: Features needing user documentation
• developerNotes: Technical details needing developer docs
• exampleRequirements: Code examples or usage scenarios needed
• apiDocumentationNeeds: API endpoints requiring documentation
• configurationOptions: Configuration parameters needing explanation
• troubleshootingAreas: Common issues requiring troubleshooting docs

README-specific fields (when analyzing for README documentation):

PHASE 1C: OVERALL ANALYSIS

Write comprehensive summary showing:

• Complete end-to-end workflows discovered
• Documentation gaps identified
• Priority areas for documentation
• Key features and capabilities (README)
• Setup and configuration requirements (README)

PHASE 2: DOCUMENTATION PLAN GENERATION

Generate detailed documentation plan under ## Documentation Plan:

• Focus on completeness
• Ensure clarity
• Include examples
• Maintain consistency

For README plans, generate a detailed outline covering: Project Overview, Installation, Usage, Configuration, Development guidelines.

PHASE 3: APPROVAL GATE

CRITICAL: Present documentation plan for explicit approval. DO NOT proceed without it.

PHASE 4: DOCUMENTATION EXECUTION

Once approved, execute the plan using all DOCUMENTATION_SAFEGUARDS.

SUCCESS VALIDATION

Verify documentation is:

• Accurate (matches actual code)
• Complete (covers all public APIs)
• Helpful (includes examples)

README-specific checks:

• Accurate: All instructions work
• Comprehensive: Covers all setup needs
• Helpful: New users can get started
• Tested: Commands verified to work

Document under ## Documentation Validation.

Documentation Guidelines

• Accuracy-first approach: Verify every documented feature with actual code
• User-focused content: Organize documentation based on user needs
• Example-driven documentation: Include practical examples and usage scenarios
• Consistency maintenance: Follow established documentation patterns
• No assumptions: Always verify behavior before documenting

README Guidelines

• User-first approach: Organize content for new users; start with what the project does and why; provide clear getting-started path
• Verified instructions: Test all setup and installation instructions; include exact commands that work; document version requirements
• Practical examples: Include working examples users can follow; show common use cases; provide copy-pasteable code snippets
• No assumptions: Don't assume user knowledge; explain acronyms and domain terms; link to prerequisite documentation

⚠️ MUST READ: CLAUDE.md for code pattern examples (backend/frontend) when writing code documentation. See docs/claude/ for existing documentation structure.

Anti-Hallucination Protocols

ASSUMPTION_VALIDATION_CHECKPOINT

Before every major operation:

1. "What assumptions am I making about [X]?"
2. "Have I verified this with actual code evidence?"

EVIDENCE_CHAIN_VALIDATION

Before claiming any relationship:

• "I believe X calls Y because..." → show actual code
• "This follows pattern Z because..." → cite specific examples

TOOL_EFFICIENCY_PROTOCOL

• Batch multiple Grep searches into single calls with OR patterns
• Use parallel Read operations for related files

CONTEXT_ANCHOR_SYSTEM

Every 10 operations:

1. Re-read the original task description
2. Verify the current operation aligns with original goals

Related

• feature-docs
• changelog
• release-notes

Task Planning Notes (MUST FOLLOW)

• Always plan and break work into many small todo tasks
• Always add a final review todo task to verify work quality and identify fixes/enhancements