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cli-mastery▌

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill cli-mastery
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summary

Interactive training for GitHub Copilot CLI with guided lessons, quizzes, scenarios, and reference materials.

  • ›Covers slash commands, shortcuts, modes, agents, skills, MCP, and configuration through eight progressive modules
  • ›Includes quiz mode (5+ questions per module), scenario challenges, and a comprehensive final exam with XP-based progression tracking
  • ›Levels progress from Newcomer to Wizard (1500 XP max) with XP rewards for lessons, correct answers, perfect quizzes, and scenarios
skill.md

Copilot CLI Mastery

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

Routing and Content

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.

Behavior

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.

how to use cli-mastery

How to use cli-mastery on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add cli-mastery
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

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

The skills CLI fetches cli-mastery from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cli-mastery

Reload or restart Cursor to activate cli-mastery. Access the skill through slash commands (e.g., /cli-mastery) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★74 reviews
  • ★★★★★Dhruvi Jain· Dec 12, 2024

    cli-mastery has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Layla Okafor· Dec 12, 2024

    cli-mastery reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Kwame Farah· Dec 8, 2024

    cli-mastery has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Evelyn Gonzalez· Dec 4, 2024

    Keeps context tight: cli-mastery is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Yuki Yang· Nov 27, 2024

    Solid pick for teams standardizing on skills: cli-mastery is focused, and the summary matches what you get after install.

  • ★★★★★Layla Malhotra· Nov 23, 2024

    We added cli-mastery from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Ishan Bhatia· Nov 23, 2024

    cli-mastery is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Oshnikdeep· Nov 3, 2024

    Solid pick for teams standardizing on skills: cli-mastery is focused, and the summary matches what you get after install.

  • ★★★★★Yusuf Desai· Nov 3, 2024

    Registry listing for cli-mastery matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Anika Lopez· Nov 3, 2024

    Useful defaults in cli-mastery — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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