skill-development

anthropics/claude-plugins-official · updated May 25, 2026

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

Guidance for creating effective, discoverable skills for Claude Code plugins with progressive disclosure and strong triggering.

  • Create skills in the plugin's skills/ directory with SKILL.md (required) and optional references/ , examples/ , and scripts/ subdirectories for progressive context loading
  • Write frontmatter descriptions in third person with specific trigger phrases users would say (e.g., \"This skill should be used when the user asks to 'create a hook', 'validate tool use'...\"
skill.md

Skill Development for Claude Code Plugins

This skill provides guidance for creating effective skills for Claude Code plugins.

About Skills

Skills are modular, self-contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform Claude from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess.

What Skills Provide

  1. Specialized workflows - Multi-step procedures for specific domains
  2. Tool integrations - Instructions for working with specific file formats or APIs
  3. Domain expertise - Company-specific knowledge, schemas, business logic
  4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks

Anatomy of a Skill

Every skill consists of a required SKILL.md file and optional bundled resources:

skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - Executable code (Python/Bash/etc.)
    ├── references/       - Documentation intended to be loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)

SKILL.md (required)

Metadata Quality: The name and description in YAML frontmatter determine when Claude will use the skill. Be specific about what the skill does and when to use it. Use the third-person (e.g. "This skill should be used when..." instead of "Use this skill when...").

Bundled Resources (optional)

Scripts (scripts/)

Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.

  • When to include: When the same code is being rewritten repeatedly or deterministic reliability is needed
  • Example: scripts/rotate_pdf.py for PDF rotation tasks
  • Benefits: Token efficient, deterministic, may be executed without loading into context
  • Note: Scripts may still need to be read by Claude for patching or environment-specific adjustments
References (references/)

Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking.

  • When to include: For documentation that Claude should reference while working
  • Examples: references/finance.md for financial schemas, references/mnda.md for company NDA template, references/policies.md for company policies, references/api_docs.md for API specifications
  • Use cases: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
  • Benefits: Keeps SKILL.md lean, loaded only when Claude determines it's needed
  • Best practice: If files are large (>10k words), include grep search patterns in SKILL.md
  • Avoid duplication: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.
Assets (assets/)

Files not intended to be loaded into context, but rather used within the output Claude produces.

  • When to include: When the skill needs files that will be used in the final output
  • Examples: assets/logo.png for brand assets, assets/slides.pptx for PowerPoint templates, assets/frontend-template/ for HTML/React boilerplate, assets/font.ttf for typography
  • Use cases: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
  • Benefits: Separates output resources from documentation, enables Claude to use files without loading them into context

Progressive Disclosure Design Principle

Skills use a three-level loading system to manage context efficiently:

  1. Metadata (name + description) - Always in context (~100 words)
  2. SKILL.md body - When skill triggers (<5k words)
  3. Bundled resources - As needed by Claude (Unlimited*)

*Unlimited because scripts can be executed without reading into context window.

Skill Creation Process

To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable.

Step 1: Understanding the Skill with Concrete Examples

Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.

To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.

For example, when building an image-editor skill, relevant questions include:

  • "What functionality should the image-editor skill support? Editing, rotating, anything else?"
  • "Can you give some examples of how this skill would be used?"
  • "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?"
  • "What would a user say that should trigger this skill?"

To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness.

Conclude this step when there is a clear sense of the functionality the skill should support.

Step 2: Planning the Reusable Skill Contents

To turn concrete examples into an effective skill, analyze each example by:

  1. Considering how to execute on the example from scratch
  2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly

Example: When building a pdf-editor skill to handle queries like "Help me rotate this PDF," the analysis shows:

  1. Rotating a PDF requires re-writing the same code each time
  2. A scripts/rotate_pdf.py script would be helpful to store in the skill

Example: When designing a frontend-webapp-builder skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows:

  1. Writing a frontend webapp requires the same boilerplate HTML/React each time
  2. An assets/hello-world/ template containing the boilerplate HTML/React project files would be helpful to store in the skill

Example: When building a big-query skill to handle queries like "How many users have logged in today?" the analysis shows:

  1. Querying BigQuery requires re-discovering the table schemas and relationships each time
  2. A references/schema.md file documenting the table schemas would be helpful to store in the skill

For Claude Code plugins: When building a hooks skill, the analysis shows:

  1. Developers repeatedly need to validate hooks.json and test hook scripts
  2. scripts/validate-hook-schema.sh and scripts/test-hook.sh utilities would be helpful
  3. references/patterns.md for detailed hook patterns to avoid bloating SKILL.md

To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets.

Step 3: Create Skill Structure

For Claude Code plugins, create the skill directory structure:

mkdir -p plugin-name/skills/skill-name/{references,examples,scripts}
touch plugin-name/skills/skill-name/SKILL.md

Note: Unlike the generic skill-creator which uses init_skill.py, plugin skills are created directly in the plugin's skills/ directory with a simpler manual structure.

Step 4: Edit the Skill

When editing the (newly-created or existing) skill, remember that the skill is being created for another instance of Claude to use. Focus on including information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively.

Start with Reusable Skill Contents

To begin implementation, start with the reusable resources identified above: scripts/, references/, and assets/ files. Note that this step may require user input. For example, when implementing a brand-guidelines skill, the user may need to provide brand assets or templates to store in assets/, or documentation to store in references/.

Also, delete any example files and directories not needed for the skill. Create only the directories you actually need (references/, examples/, scripts/).

Update SKILL.md

Writing Style: Write the entire skill using imperative/infinitive form (verb-first instructions), not second person. Use objective, instructional language (e.g., "To accomplish X, do Y" rather than "You should do X" or "If you need to do X"). This maintains consistency and clarity for AI consumption.

Description (Frontmatter): Use third-person format with specific trigger phrases:

---
name: Skill Name
description: This skill should be used when the user asks to "specific phrase 1", "specific phrase 2", "specific phrase 3". Include exact phrases users would say that should trigger this skill. Be concrete and specific.
version: 0.1.0
---

Good description examples:

description: This skill should be used when the user asks to "create a hook", "add a PreToolUse hook", "validate tool use", "implement prompt-based hooks", or mentions hook events (PreToolUse, PostToolUse, Stop).

Bad description examples:

description: Use this skill when working with hooks.  # Wrong person, vague
description: Load when user needs hook help.  # Not third person
description: Provides hook guidance.  # No trigger phrases

To complete SKILL.md body, answer the following questions:

  1. What is the purpose of the skill, in a few sentences?
  2. When should the skill be used? (Include this in frontmatter description with specific triggers)
  3. In practice, how should Claude use the skill? All reusable skill contents developed above should be referenced so that Claude knows how to use them.

Keep SKILL.md lean: Target 1,500-2,000 words for the body. Move detailed content to references/:

  • Detailed patterns → references/patterns.md
  • Advanced techniques → references/advanced.md
  • Migration guides → references/migration.md
  • API references → references/api-reference.md

Reference resources in SKILL.md:

## Additional Resources

### Reference Files

For detailed patterns and techniques, consult:
- **`references/patterns.md`** - Common patterns
- **`references/advanced.md`** - Advanced use cases

### Example Files

Working examples in `examples/`:
- **`example-script.sh`** - Working example

Step 5: Validate and Test

For plugin skills, validation is different from generic skills:

  1. Check structure: Skill directory in plugin-name/skills/skill-name/
  2. Validate SKILL.md: Has frontmatter with name and description
  3. Check trigger phrases: Description includes specific user queries
  4. Verify writing style: Body uses imperative/infinitive form, not second person
  5. Test progressive disclosure: SKILL.md is lean (~1,500-2,000 words), detailed content in references/
  6. Check references: All referenced files exist
  7. Validate examples: Examples are complete and correct
  8. Test scripts: Scripts are executable and work correctly

Use the skill-reviewer agent:

Ask: "Review my skill and check if it follows best practices"

The skill-reviewer agent will check description quality, content organization, and progressive disclosure.

Step 6: Iterate

After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed.

Iteration workflow:

  1. Use the skill on real tasks
  2. Notice struggles or inefficiencies
  3. Identify how SKILL.md or bundled resources should be updated
  4. Implement changes and test again

Common improvements:

  • Strengthen trigger phrases in description
  • Move long sections from SKILL.md to references/
  • Add missing examples or scripts
  • Clarify ambiguous instructions
  • Add edge case handling

Plugin-Specific Considerations

Skill Location in Plugins

Plugin skills live in the plugin's skills/ directory:

my-plugin/
├── .claude-plugin/
│   └── plugin.json
├── commands/
├── agents/
└── skills/
    └── my-skill/
        ├── SKILL.md
        ├── references/
        ├── examples/
        └── scripts/

Auto-Discovery

Claude Code automatically discovers skills:

  • Scans skills/ directory
  • Finds subdirectories containing SKILL.md
  • Loads skill metadata (name + description) always
  • Loads SKILL.md body when skill triggers
  • Loads references/examples when needed

No Packaging Needed

Plugin skills are distributed as part of the plugin, not as separate ZIP files. Users get skills when they install the plugin.

Testing in Plugins

Test skills by installing plugin locally:

# Test with --plugin-dir
cc --plugin-dir /path/to/plugin

# Ask questions that should trigger the skill
# Verify skill loads correctly

Examples from Plugin-Dev

Study the skills in this plugin as examples of best practices:

hook-development skill:

  • Excellent trigger phrases: "create a hook", "add a PreToolUse hook", etc.
  • Lean SKILL.md (1,651 words)
  • 3 references/ files for detailed content
  • 3 examples/ of working hooks
  • 3 scripts/ utilities

agent-development skill:

  • Strong triggers: "create an agent", "agent frontmatter", etc.
  • Focused SKILL.md (1,438 words)
  • References include the AI generation prompt from Claude Code
  • Complete agent examples

plugin-settings skill:

  • Specific triggers: "plugin settings", ".local.md files", "YAML frontmatter"
  • References show real implementations (multi-agent-swarm, ralph-loop)
  • Working parsing scripts

Each demonstrates progressive disclosure and strong triggering.

Progressive Disclosure in Practice

What Goes in SKILL.md

Include (always loaded when skill triggers):

  • Core concepts and overview
  • Essential procedures and workflows
  • Quick reference tables
  • Pointers to references/examples/scripts
  • Most common use cases

Keep under 3,000 words, ideally 1,500-2,000 words

What Goes in references/

Move to references/ (loaded as needed):

  • Detailed patterns and advanced techniques
  • Comprehensive API documentation
  • Migration guides
  • Edge cases and troubleshooting
  • Extensive examples and walkthroughs

Each reference file can be large (2,000-5,000+ words)

What Goes in examples/

Working code examples:

  • Complete, runnable scripts
  • Configuration files
  • Template files
  • Real-world usage examples

Users can copy and adapt these directly

What Goes in scripts/

Utility scripts:

  • Validation tools
  • Testing helpers
  • Parsing utilities
  • Automation scripts

Should be executable and documented

Writing Style Requirements

Imperative/Infinitive Form

Write using verb-first instructions, not second person:

Correct (imperative):

To create a hook, define the event type.
Configure the MCP server with authentication.
Validate settings before use.

Incorrect (second person):

You should create a hook by defining the event type.
You need to configure the MCP server.
You must validate settings before use.

Third-Person in Description

The frontmatter description must use third person:

Correct:

description: This skill should be used when the user asks to "create X", "configure Y"...

Incorrect:

description: Use this skill when you want to c
how to use skill-development

How to use skill-development 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 skill-development
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 skill-development

The skills CLI fetches skill-development 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/skill-development

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

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

4.737 reviews
  • Ganesh Mohane· Dec 28, 2024

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

  • Yusuf Robinson· Dec 16, 2024

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

  • Ren Kim· Dec 4, 2024

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

  • Chinedu Khanna· Nov 23, 2024

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

  • Sakshi Patil· Nov 19, 2024

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

  • Yusuf White· Nov 7, 2024

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

  • Maya Rahman· Nov 3, 2024

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

  • Michael Harris· Oct 26, 2024

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

  • Mia Dixit· Oct 18, 2024

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

  • Yusuf Martinez· Oct 14, 2024

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

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