agents-md-skill

To create an effective AGENTS.md context file, include only essential, actionable information based on empirical research to maximize agent performance and minimize token costs. This approach avoids common pitfalls like unnecessary overviews and generic advice.

A CLAUDE.md file should include only lean, actionable context that guides the AI coding assistant without unnecessary information. Capturing conversational workflows into reusable slash commands can further optimize the agent's performance and reduce costs.

Providing too much context decreases performance because common pitfalls like overviews and generic advice increase token costs and dilute the agent's focus. Optimizing context files ensures the AI receives only essential, actionable information for the specific repository.

Yes, you can capture conversational workflows and extract them into reusable slash commands. This allows you to automate repetitive prompt engineering tasks and maintain lean context files for AI coding agents.

Yes, overloading context files with generic advice and unnecessary overviews increases token costs and decreases agent performance. Relying on empirical research to provide only essential, actionable information mitigates these common pitfalls.