compiling-project-docs

Generate structured project documentation from a CLAUDE.md file.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/pipemind-com/pipemind-marketplace --skill compiling-project-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: compiling-project-docs
Source: https://github.com/pipemind-com/pipemind-marketplace/tree/main/plugins/spec-driven-development/skills/compiling-project-docs
Command: npx skills add https://github.com/pipemind-com/pipemind-marketplace --skill compiling-project-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill converts a concise CLAUDE.md into a structured docs directory so agents can progressively load detailed project information without overloading the main CLAUDE.md. It prevents scattershot, ad hoc documentation and ensures consistent, discoverable references for architecture, APIs, testing, deployment, and workflow.

Core Features & Use Cases

  • Pre-flight validation: confirms repository is a git repo and that CLAUDE.md exists before any files are created, failing fast with clear operator guidance.
  • Topic detection & overrides: auto-detects topics from codebase signals with a confidence threshold and respects include/skip or full overrides.
  • Content generation with templates: produces ordered documents (architecture, getting-started, topic docs, index) using strict templates and per-document line targets.
  • Code-aware output: embeds file paths and code snippets, cross-references documents, and validates link integrity.
  • Quality validation & reporting: enforces AI context summaries, checks for placeholders, validates line counts, and reports document counts and cross-reference metrics.
  • Use case: generate a docs/ set for a legacy repository so planner and builder agents can access component-level details on demand.

Quick Start

Run /compiling-project-settings first then generate the docs directory from CLAUDE.md to produce architecture, getting-started, topic-specific documents, and an index with code snippets and validated cross-references.

Frequently Asked Questions about compiling-project-docs

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

FAQPage Schema
How do I generate project documentation from a CLAUDE.md file?

To generate project documentation from a CLAUDE.md file, the skill verifies your git repository, detects codebase topics, and creates a structured docs directory with templated architecture and API documents. It uses progressive disclosure for on-demand agent loading.

What is progressive disclosure for codebase documentation?

Progressive disclosure for codebase documentation prevents overloading a main CLAUDE.md by splitting detailed system architecture, APIs, and deployment workflows into separate topic documents. Agents progressively load these specific references on demand without context saturation.

Can I automatically detect documentation topics from codebase signals?

You can automatically detect documentation topics from codebase signals using built-in topic detection with a confidence threshold. The system respects manual include or skip overrides to ensure the generated docs accurately reflect your repository's architecture.

Does the documentation generator require a git repository and CLAUDE.md file?

The documentation generator requires a valid git repository and an existing CLAUDE.md file as mandatory prerequisites. It performs pre-flight validation to fail fast and provide clear operator guidance if these core inputs are missing.

How to validate cross-references and line counts in generated docs?

To validate cross-references and line counts in generated docs, the system enforces strict per-document line targets and checks link integrity automatically. It reports document counts and cross-reference metrics while scanning for unresolved placeholders.

What is the best way to structure agent-readable codebase documentation?

The best way to structure agent-readable codebase documentation is generating an ordered docs directory with architecture, getting-started, topic-specific, and index files. This approach embeds file paths and AI context summaries for reliable machine parsing.