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jpcaparas
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repo-intent-documenter

Generate evidence-backed REPO_INTENT.md documents from repository analysis.

37|2|Updated Mar 25, 2026
Search Tags:#AI agent#codebase analysis#repository documentation#project briefing#intent discovery
One-click install
npx skills add https://github.com/jpcaparas/skills --skill repo-intent-documenter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repo-intent-documenter
Source: https://github.com/jpcaparas/skills/tree/main/skills/repo-intent-documenter
Command: npx skills add https://github.com/jpcaparas/skills --skill repo-intent-documenter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making the purpose, assumptions, and unresolved questions of a codebase transparent to future coding agents, ensuring they have a comprehensive understanding.

Core Features & Use Cases

  • Repository Inspection: Systematically inspects repository contents to understand project intent and structure.
  • Evidence-Backed Documentation: Generates REPO_INTENT.md with certainty labels, evidence anchors, and review workflow.
  • Confidence-Labeled Claims: Assesses and labels claims as 'Certain', 'Strong inference', 'Tentative', or 'Open question' based on evidence strength.
  • Use Case: If you have a repository with complex intent and want to create a clear document for future agents to understand the project's purpose and assumptions.

Quick Start

Run python3 scripts/repo_intent_inventory.py <repo> --json and then open the resulting REPO_INTENT.md document.

Frequently Asked Questions about repo-intent-documenter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I document a codebase intent for AI coding agents?▼

You can document repository intent for AI agents by running a Python script that analyzes source code and metadata to generate a comprehensive REPO_INTENT.md file detailing the project's purpose and structure.

What is an evidence-backed repository intent document?▼

An evidence-backed repository intent document is a markdown file detailing a codebase's purpose and assumptions, assigning confidence labels like 'Certain' or 'Tentative' to claims based on analyzed source code evidence.

Do I need Python3 to generate repository documentation for AI agents?▼

Yes, you need Python3 installed to execute the script-based analysis and data processing required to inspect repository contents and generate the documentation for AI coding agents.

How does codebase analysis determine confidence levels for project documentation?▼

Codebase analysis determines confidence levels by assessing evidence strength from source code and metadata, labeling claims as 'Certain', 'Strong inference', 'Tentative', or 'Open question' to indicate documentation reliability.

Can I export repository inspection results as JSON?▼

Yes, you can export repository inspection results as JSON by running the inventory script with the --json flag, which processes the codebase analysis data before generating the final markdown documentation.

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