Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.
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安装前可以查看交给 AI 代理的指令内容。
UTILITY SKILL — interactive Copilot CLI trainer.
INVOKES: ask_user, sql, view
USE FOR: "cliexpert", "teach me the Copilot CLI", "quiz me on slash commands", "CLI cheat sheet", "copilot CLI final exam"
DO NOT USE FOR: general coding, non-CLI questions, IDE-only features
| Trigger | Action |
|---|---|
| "cliexpert", "teach me" | Read next references/module-N-*.md, teach |
| "quiz me", "test me" | Read current module, 5+ questions via ask_user |
| "scenario", "challenge" | Read references/scenarios.md |
| "reference" | Read relevant module, summarize |
| "final exam" | Read references/final-exam.md |
Specific CLI questions get direct answers without loading references.
Reference files in references/ dir. Read on demand with view.
On first interaction, initialize progress tracking:
CREATE TABLE IF NOT EXISTS mastery_progress (key TEXT PRIMARY KEY, value TEXT);
CREATE TABLE IF NOT EXISTS mastery_completed (module TEXT PRIMARY KEY, completed_at TEXT DEFAULT (datetime('now')));
INSERT OR IGNORE INTO mastery_progress (key,value) VALUES ('xp','0'),('level','Newcomer'),('module','0');
XP: lesson +20, correct +15, perfect quiz +50, scenario +30. Levels: 0=Newcomer 100=Apprentice 250=Navigator 400=Practitioner 550=Specialist 700=Expert 850=Virtuoso 1000=Architect 1150=Grandmaster 1500=Wizard. Max XP from all content: 1600 (8 modules × 145 + 8 scenarios × 30 + final exam 200).
When module counter exceeds 8 and user says "cliexpert", offer: scenarios, final exam, or review any module.
Rules: ask_user with choices for ALL quizzes/scenarios. Show XP after correct answers. One concept at a time; offer quiz or review after each lesson.
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Primary accessibility skill for VS Code. REQUIRED for new feature and contribution work, and also applies to updates of existing UI. Covers accessibility help dialogs, accessible views, verbosity settings, signals, ARIA announcements, keyboard navigation, and ARIA labels/roles.
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Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Act on user feedback attached to the current session. Use when the user submits feedback on the session's changes via the Submit Feedback button.
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Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
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Use when adding, modifying, or reviewing VS Code configuration policies. Covers the full policy lifecycle from registration to export to platform-specific artifacts. Run on ANY change that adds a `policy:` field to a configuration property.
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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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