example-skill

anthropics/claude-plugins-official · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/claude-plugins-official --skill example-skill
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summary

This skill demonstrates the structure and format for Claude Code plugin skills.

skill.md

Example Skill

This skill demonstrates the structure and format for Claude Code plugin skills.

Overview

Skills are model-invoked capabilities that Claude autonomously uses based on task context. Unlike commands (user-invoked) or agents (spawned by Claude), skills provide contextual guidance that Claude incorporates into its responses.

When This Skill Applies

This skill activates when the user's request involves:

  • Creating or understanding plugin skills
  • Skill template or reference needs
  • Skill development patterns

Skill Structure

Required Files

skills/
└── skill-name/
    └── SKILL.md          # Main skill definition (required)

Optional Supporting Files

skills/
└── skill-name/
    ├── SKILL.md          # Main skill definition
    ├── README.md         # Additional documentation
    ├── references/       # Reference materials
    │   └── patterns.md
    ├── examples/         # Example files
    │   └── sample.md
    └── scripts/          # Helper scripts
        └── helper.sh

Frontmatter Options

Skills support these frontmatter fields:

  • name (required): Skill identifier
  • description (required): Trigger conditions - describe when Claude should use this skill
  • version (optional): Semantic version number
  • license (optional): License information or reference

Writing Effective Descriptions

The description field is crucial - it tells Claude when to invoke the skill.

Good description patterns:

description: This skill should be used when the user asks to "specific phrase", "another phrase", mentions "keyword", or discusses topic-area.

Include:

  • Specific trigger phrases users might say
  • Keywords that indicate relevance
  • Topic areas the skill covers

Skill Content Guidelines

  1. Clear purpose: State what the skill helps with
  2. When to use: Define activation conditions
  3. Structured guidance: Organize information logically
  4. Actionable instructions: Provide concrete steps
  5. Examples: Include practical examples when helpful

Best Practices

  • Keep skills focused on a single domain
  • Write descriptions that clearly indicate when to activate
  • Include reference materials in subdirectories for complex skills
  • Test that the skill activates for expected queries
  • Avoid overlap with other skills' trigger conditions
how to use example-skill

How to use example-skill 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 example-skill
2

Execute installation command

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

$npx skills add https://github.com/anthropics/claude-plugins-official --skill example-skill

The skills CLI fetches example-skill from GitHub repository anthropics/claude-plugins-official 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/example-skill

Reload or restart Cursor to activate example-skill. Access the skill through slash commands (e.g., /example-skill) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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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

4.728 reviews
  • Pratham Ware· Dec 24, 2024

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

  • Hana Liu· Dec 8, 2024

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

  • Meera Kapoor· Dec 8, 2024

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

  • Hana Farah· Nov 27, 2024

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

  • Kiara Flores· Nov 27, 2024

    I recommend example-skill for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Naina Mehta· Oct 18, 2024

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

  • Ishan Park· Oct 18, 2024

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

  • Mia Taylor· Sep 9, 2024

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

  • Yash Thakker· Sep 1, 2024

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

  • Mia Sethi· Aug 28, 2024

    example-skill fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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