What problem does it solve? Developers often need AI assistance for code review, debugging, and test generation without leaving the terminal, but lack guidance on installing, configuring, and effectively using GitHub Copilot CLI with agents, skills, and MCP servers. ## Core Features & Use Cases - Terminal AI Assistance: Use interactive chat, explain, and suggest modes of the gh copilot extension to understand commands, get shell suggestions, and iterate on code problems. - Custom Agents and Project Skills: Create reusable agent definitions in ~/.config/gh-copilot/agents/ and project conventions in .copilot/skills/ for consistent, context-aware assistance. - MCP Server Integration: Connect Copilot CLI to external data sources like GitHub, PostgreSQL, filesystems, and search APIs via mcp.json configuration. - Use Case: A developer debugging a Flask 500 error can run gh copilot, reference @error.log and @app.py, receive a diagnosis, apply the fix, and generate a regression test in one session. ## Quick Start Ask the assistant to install the gh-copilot extension and review a specific source file in your project for security and performance issues.