maestro:agents-md

Generate an AGENTS.md file by applying principles of signal versus noise and progressive disclosure, ensuring concise and actionable AI agent memory. This Skill bootstraps essential build commands, code style rules, and critical project context for AI coding agents.

To change AI agent behavior, AGENTS.md should include high-quality entries optimized for fast comprehension and actionable guidance. Structure content by prioritizing essential build commands, code style rules, and critical gotchas to ensure accurate agent context.

Audit AGENTS.md for stale or redundant AI memory entries using a provided syncing and auditing workflow. This process refines existing content, ensuring AI agents maintain accurate project context and actionable behavioral guidance without noise.

The best way to structure AGENTS.md for AI coding agents is through progressive disclosure and signal prioritization. This approach optimizes agent memory by enabling fast comprehension of critical project rules and actionable context.

Update existing AGENTS.md files to improve AI agent context by refining content for conciseness and behavioral change optimization. This Skill supports syncing new learnings and auditing entries to maintain effective, actionable AI memory.