
doc-indexer
by bodangren
Spec-Driven Git Workflow plugin for Claude Code - Comprehensive development workflow with GitHub integration, sprint management, and brownfield migration support
SKILL.md
name: doc-indexer description: Use this skill at the beginning of any session or when needing to understand available project documentation. Provides just-in-time context by scanning YAML frontmatter from all markdown files in the docs/ directory without loading full content.
Document Indexer Skill
Purpose
Provide just-in-time context about available project documentation without loading full file content into the context window. The doc-indexer scans all markdown files in the docs/ directory, extracts their YAML frontmatter metadata, and returns a structured map of available documentation. This enables efficient discovery of specs, plans, retrospectives, and other documentation while minimizing token usage.
When to Use
Use this skill in the following situations:
- At the beginning of any work session to understand the current state of documentation
- When starting work on a new issue to identify relevant specs and context
- Before proposing changes to understand existing specifications
- When planning a sprint to review available approved specs
- Anytime you need an overview of project documentation without reading full files
Prerequisites
- The project must have a
docs/directory - Documentation files should follow the convention of including YAML frontmatter
- The
jqtool is NOT required (script works without it)
Workflow
Step 1: Run the Documentation Scanner
Execute the helper script to scan all markdown files in the docs/ directory:
bash scripts/scan-docs.sh
This will output a human-readable summary showing each document's frontmatter metadata.
For machine-readable JSON output (useful for programmatic processing):
bash scripts/scan-docs.sh -j
Step 2: Review the Documentation Map
The scanner returns information about all markdown files found in docs/, including:
- File path: Location of the documentation file
- Frontmatter metadata: Key-value pairs from YAML frontmatter (title, status, type, etc.)
- Compliance warnings: Files missing YAML frontmatter are flagged
Example human-readable output:
---
file: docs/specs/001-synthesis-flow.md
title: AgenticDev Methodology
status: approved
type: spec
---
file: docs/changes/my-feature/proposal.md
title: My Feature Proposal
status: in-review
type: proposal
[WARNING] Non-compliant file (no frontmatter): docs/README.md
Example JSON output:
[
{
"file": "docs/specs/001-synthesis-flow.md",
"compliant": true,
"frontmatter": {
"title": "AgenticDev Methodology",
"status": "approved",
"type": "spec"
}
},
{
"file": "docs/README.md",
"compliant": false,
"frontmatter": null
}
]
Step 3: Use the Map to Identify Relevant Documentation
Based on the documentation map, identify which specific files to read for your current task:
- For implementation work: Look for approved specs related to your issue
- For spec proposals: Review existing specs to understand the current state
- For sprint planning: Identify approved specs ready for implementation
- For learning context: Find retrospectives and design docs
Step 4: Read Specific Documentation Files
Once you've identified relevant files from the map, use the Read tool to load their full content:
# Example: Read a specific spec identified from the map
Read docs/specs/001-synthesis-flow.md
This two-step approach (scan first, then read selectively) minimizes token usage while ensuring you have access to all necessary context.
Error Handling
No docs/ Directory
Symptom: Script reports "No such file or directory"
Solution:
- Verify you're in the project root directory
- Check if the project has been initialized with
project-initskill - Create
docs/directory structure if needed
Files Missing Frontmatter
Symptom: Script outputs "[WARNING] Non-compliant file (no frontmatter): ..."
Impact: These files won't have structured metadata in the output
Solution:
- Add YAML frontmatter to documentation files for better discoverability
- Frontmatter should be at the top of the file between
---markers - Example format:
--- title: My Document status: draft type: design --- # Document content starts here
Script Permission Errors
Symptom: "Permission denied" when running the script
Solution:
chmod +x scripts/scan-docs.sh
Output Interpretation Guide
Frontmatter Fields
Common frontmatter fields you'll encounter:
- title: Human-readable document title
- status: Document state (draft, in-review, approved, archived)
- type: Document category (spec, proposal, design, retrospective, plan)
- epic: Associated epic issue number
- sprint: Sprint identifier
- author: Document author
- created: Creation date
- updated: Last update date
Using JSON Output Programmatically
The JSON output mode is particularly useful when:
- Filtering documents by specific criteria (e.g., only approved specs)
- Counting documents by type or status
- Building automated workflows
- Integrating with other tools
Example using jq to filter approved specs:
bash scripts/scan-docs.sh -j | jq '.[] | select(.frontmatter.status == "approved")'
Notes
- The scanner is non-invasive and read-only - it never modifies files
- Large projects with many docs benefit most from this just-in-time approach
- The script scans recursively through all subdirectories in
docs/ - Empty frontmatter sections are treated as non-compliant
- The scan is fast and can be run frequently without performance concerns
- Consider running this at the start of each work session to stay current with documentation changes
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です