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Shareable instruction files for Cursor, Claude Code, Copilot, Windsurf, and more — installed alongside your existing agent rules.
This project implements a chess coaching application with AI agents that can analyze chess positions, suggest moves, and provide strategic advice. The system combines a modern React frontend with a Python-based AI agent backend.
1. **Identify Task Layer**: Determine if the task is **Infrastructure** (Docker, Bash) or **Application** (React, Next.js). 2. **Load Targeted Context**: Read only the maps and rules relevant to your active layer (see `.agents/rules/how-to-scan-repository.md`).