Copilot CLI extension development: extension.mjs, hooks, tools, events, SDK API, JSON-RPC. Use when creating, building, debugging, or inspecting extensions, or asking about lifecycle, permissions, onPermissionRequest, joinSession, or session events.
Hookify documentation and usage guide — plugin architecture, rule syntax, event types, pattern examples, available skills. Triggers on "how does hookify work", "hookify help", "how to use hookify", hookify documentation.
List and inspect all configured hookify rules — show status, event types, patterns, file paths. Triggers on "list hookify rules", "show my hooks", "what hookify rules do I have", view configured rules.
MCP server development: build, create, and test Model Context Protocol servers in TypeScript or Python. Tool design, input/output schemas, Zod/Pydantic validation, evaluations, stdio/HTTP transport, @modelcontextprotocol/sdk, FastMCP.
Agent development for Copilot CLI plugins: .agent.md files, agent frontmatter, system prompts, triggering conditions, tool restrictions, model selection. Use when creating, configuring, or debugging autonomous agents.
Copilot CLI plugin scaffolding and creation workflow. Covers requirements gathering, component planning, directory structure, implementation, validation, and testing. Use for new plugin projects or guided plugin development.
Hook development for Copilot CLI plugins: hooks.json, preToolUse/postToolUse/agentStop/sessionStart hooks, command hooks, event-driven validation, tool blocking, policy enforcement. Use when creating or debugging plugin hooks.
MCP server integration for Copilot CLI plugins: mcp-config.json, stdio/SSE/HTTP/WebSocket servers, OAuth, tool naming. Use when adding external service connections, configuring MCP, or debugging MCP tools.
Plugin settings and state via .github/plugin-name.local.md: YAML frontmatter configuration, per-project settings, .local.md files, reading/writing plugin state from hooks and agents.
Skill development lifecycle: create, edit, test, benchmark, and optimize SKILL.md files. Evals, assertions, description triggering optimization, variance analysis, iteration loops. Use when creating a skill from scratch, improving an existing skill, running evals, or optimizing a skill description.