Can I customize the README template it uses?

Yes, you can define specific company standards or project templates, and the skill will adapt its suggestions to fit those predefined structures.

What file changes trigger documentation suggestions?

It monitors key files like package.json, .env.example, docker-compose.yml, and new source files to identify when features, dependencies, or configuration requirements have changed.

How does it handle API documentation?

While it handles high-level API examples in the README, it is designed to work alongside the @docs-writer agent and api-documenter skill for more comprehensive technical reference material.

Does the README Auto-Updater overwrite my entire file?

No, it is designed to be additive and restorative. It identifies specific sections that need updating while strictly preserving your existing structure, formatting, and stylistic choices.

README Auto-Updater

Name: README Auto-Updater
Author: alirezarezvani

byalirezarezvani

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320

Learning & Documentation

Synchronizes README documentation with codebase changes to ensure project guides, setup instructions, and feature lists remain accurate and up-to-date.

About

The README Auto-Updater is a specialized documentation skill for Claude Code that monitors your development workflow to keep project documentation in lockstep with code changes. It automatically detects modifications in dependencies, configuration files, and project structure to suggest relevant updates for installation steps, environment variables, and feature lists. By mapping specific code changes to corresponding README sections while preserving your existing formatting and emoji style, this skill eliminates the manual overhead of documentation maintenance and ensures that onboarding guides never become obsolete.

Key Features

Preservation of existing markdown structure, tone, and formatting
Real-time updates for environment variables and setup instructions
Seamless integration with CHANGELOG.md and version history
320 GitHub stars
Automatic detection of new features, routes, and dependencies
Smart mapping of code changes to specific README sections

Use Cases

Updating installation guides immediately after adding new third-party libraries
Refactoring setup instructions following changes to docker-compose or configuration files
Maintaining an accurate feature list as new capabilities are merged into the repository

About

Key Features

Preservation of existing markdown structure, tone, and formatting
Real-time updates for environment variables and setup instructions
Seamless integration with CHANGELOG.md and version history
320 GitHub stars
Automatic detection of new features, routes, and dependencies
Smart mapping of code changes to specific README sections

Use Cases

Updating installation guides immediately after adding new third-party libraries
Refactoring setup instructions following changes to docker-compose or configuration files
Maintaining an accurate feature list as new capabilities are merged into the repository