How does it know which documentation workers to trigger?

It performs an 'Auto-Discovery' phase, scanning files like package.json and docker-compose.yml to detect specific technologies (like React, NestJS, or PostgreSQL) before delegating tasks.

What is the 'Context Store' mentioned in the workflow?

The Context Store is a centralized JSON object containing all discovered project data, ensuring that every documentation worker has consistent information without needing to re-scan the project.

Can I use this coordinator for monorepos?

Yes, by scanning root dependencies and sub-directory structures, it can coordinate documentation tasks that span multiple parts of a repository.

Does this skill overwrite my existing project documentation?

No, the coordinator and its workers are designed to be idempotent, meaning they typically skip existing files or prioritize your legacy content to ensure manual work is not lost.

Project Documentation Coordinator

Name: Project Documentation Coordinator
Author: levnikolaevich

bylevnikolaevich

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Learning & Documentation

Orchestrates comprehensive project documentation by gathering context once and delegating to specialized AI documentation workers.

The Project Documentation Coordinator (ln-110) serves as a central intelligence hub for technical documentation workflows. It eliminates redundant scanning and context loss by performing a one-time analysis of the project's architecture, dependencies, and environment to build a centralized Context Store. Based on its findings, it intelligently detects the project type—identifying frontends, backends, databases, and Docker configurations—and triggers specialized sub-skills to generate production-ready files like API specs, runbooks, and architecture guides, all while seamlessly merging any existing legacy requirements.

Key Features

01Comprehensive status aggregation and validation of generated docs

02Automated project type detection (Frontend, Backend, DB, Docker)

03Intelligent delegation to 5 specialized documentation sub-skills

0412 GitHub stars

05Centralized Context Store to prevent information loss during generation

06Seamless merging of legacy requirements with auto-discovered data

Use Cases

01Automating the migration of legacy technical specs into modern Markdown formats

02Standardizing documentation across complex multi-stack architectures

03Bootstrapping comprehensive documentation for new or legacy repositories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add levnikolaevich/claude-code-skills ln-110-project-docs-coordinator

For use in Claude.ai and ChatGPT

Download Skill