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Agent Skill

Copilot CLI Quickstart skill

copilot-cli-quickstartgithub/awesome-copilotskills/copilot-cli-quickstart/SKILL.md

Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).

40kMIT

always on

85 tokname + description

once used

7,380 tokSKILL.md body

bundled files

0

repo stars

40kGitHub

Install the Copilot CLI Quickstart skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/github/awesome-copilot --skill copilot-cli-quickstart

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p ~/.claude/skills
cp -R /tmp/awesome-copilot/skills/copilot-cli-quickstart ~/.claude/skills/copilot-cli-quickstart

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description85 tok
When the agent uses itThe SKILL.md instructions7,380 tok
Only if openedNo bundled files—

Until it is used, copilot-cli-quickstart costs about 16× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from github/awesome-copilot would load 9,863 tokens of descriptions. Skills vs MCP study

Checks

  • Contains text that matches a prompt-injection pattern. In the skills we checked by hand this was security teaching material or a test fixture; read the file before you install it.
  • The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
  • The instructions are over 500 lines; the specification suggests moving detail into reference files.

Pre-approved tools (allowed-tools): ask_user, sql, fetch_copilot_cli_documentation. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • 🚀 Copilot CLI Quick Start — Your Friendly Terminal Tutor
  • 🎯 Three Modes
  • 🎓 Tutorial Mode
  • ❓ Q&A Mode
  • 🔄 Reset Mode
  • 🛤️ Audience Detection
  • 📊 Progress Tracking
  • 🔄 Reset Tutorial
  • 📚 Lesson Structure
  • Shared Lessons (Both Tracks)
  • 🧑‍💻 Developer Track
  • 🎨 Non-Developer Track
  • 🏠 Lesson S1: Welcome & Verify Your Setup
  • 💬 Lesson S2: Your First Prompt
  • 🎮 Lesson S3: The Permission Model
  • 🧑‍💻 Developer Track Lessons
  • 🎛️ Lesson D1: Slash Commands & Modes
  • 📎 Lesson D2: Mentioning Files with @
  • 📋 Lesson D3: Planning with /plan
  • ⚙️ Lesson D4: Custom Instructions
  • 🚀 Lesson D5: Advanced — MCP, Skills & Beyond
  • 🎨 Non-Developer Track Lessons
  • 📝 Lesson N1: Writing & Editing with Copilot
  • 📋 Lesson N2: Task Planning with /plan

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  1. acquire-codebase-knowledgegithub/awesome-copilot

    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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    Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

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  3. acreadiness-generate-instructionsgithub/awesome-copilot

    Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

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    Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

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  5. ad-campaign-analyzergithub/awesome-copilot

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  6. add-educational-commentsgithub/awesome-copilot

    Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

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  7. adobe-illustrator-scriptinggithub/awesome-copilot

    Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

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    Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.

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