agents-md-improver

Name: agents-md-improver
Availability: InStock
Author: scarletfish

Audit and improve AGENTS.md and CLAUDE.md project-rules files.

Updated Jun 8, 2026

Search Tags:#automation #documentation #context #agent #maintenance #rules

Ready to run

npx skills add https://github.com/ScarletFish/MyAnimeDock --skill agents-md-improver-scarletfish

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agents-md-improver
Source: https://github.com/ScarletFish/MyAnimeDock/tree/main/.agents/skills/agents-md-improver
Command: npx skills add https://github.com/ScarletFish/MyAnimeDock --skill agents-md-improver-scarletfish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the issue of stale, inconsistent, or poorly structured project-rules files (AGENTS.md/CLAUDE.md) that lead to suboptimal AI performance and context confusion.

Core Features & Use Cases

Automated Audit: Scans the repository for all rules files and grades them against a quality rubric.
Context Optimization: Provides actionable recommendations to improve architecture clarity, command documentation, and project-specific patterns.
Use Case: When onboarding a new developer or after a major architectural refactor, use this Skill to ensure the AI agent has the most accurate and concise instructions to assist with the codebase.

Quick Start

Run the agents-md-improver skill to audit all project rules files in the current repository and provide a quality report.

Frequently Asked Questions about agents-md-improver

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

FAQPage Schema

How do I audit and improve project-rules files like AGENTS.md for AI agents?▼

To audit and improve AI agent context files, run the agents-md-improver skill which scans your repository for all rules files and grades them against a quality rubric. It provides actionable recommendations to optimize architecture clarity and command documentation.

Why does my AI agent have context confusion when reading stale AGENTS.md or CLAUDE.md files?▼

Context confusion occurs when project-rules files are stale, inconsistent, or poorly structured. Auditing these files ensures the AI agent receives optimal, current, and actionable instructions for the codebase, preventing suboptimal performance.

When do I need to optimize repository documentation for AI agent context?▼

You need to optimize AI agent context during repository maintenance, developer onboarding, or after a major architectural refactor. This ensures the agent's instructions remain accurate and concise for assisting with the updated codebase.

What's the best way to maintain Markdown-based rules files across a directory structure?▼

The best way to maintain Markdown-based rules files is using an automated audit tool that scans, evaluates, and updates them across your directory structure. This enforces a consistent quality rubric for architecture and project-specific patterns.

Does optimizing project rules require file system access to scan and update agent instructions?▼

Yes, optimizing project-rules files requires file system access to scan, evaluate, and update Markdown-based agent instructions across the repository directory structure. This allows the audit tool to grade all existing rules files.

Can I use an automated audit on all project rules files after an architectural refactor?▼

Yes, you can run an automated audit after an architectural refactor to evaluate all project rules files. The tool scans the repository, grades the files against a quality rubric, and provides actionable recommendations for context optimization.