home / skills / bobmatnyc / claude-mpm-skills / skill-creator
This skill guides you to create effective Claude skills using progressive disclosure and reusable components for scalable, maintainable AI tooling.
npx playbooks add skill bobmatnyc/claude-mpm-skills --skill skill-creatorReview the files below or copy the command above to add this skill to your agents.
---
name: skill-creator
description: "Guide for creating effective skills"
license: Complete terms in LICENSE.txt
progressive_disclosure:
entry_point:
summary: "Create modular skills that extend Claude with specialized knowledge, workflows, and tools through structured components"
when_to_use: "When users want to create or update skills with specialized domain knowledge, workflows, or tool integrations. Focus on progressive disclosure for skills >150 lines."
quick_start: "1. Understand skill with concrete examples 2. Plan reusable components (scripts/references/assets) 3. Initialize with init_skill.py 4. Edit SKILL.md and resources 5. Package and validate 6. Iterate based on usage"
references:
- skill-structure.md
- creation-workflow.md
- progressive-disclosure.md
- best-practices.md
- examples.md
---
# Skill Creator
## Overview
Create effective skills that extend Claude's capabilities through specialized knowledge, workflows, and tools. Skills are modular packages that transform Claude from a general-purpose agent into a specialized agent with procedural knowledge for specific domains.
**This skill exemplifies its own teachings** by using progressive disclosure to keep the entry point lean while providing deep detail in reference files.
## When to Use This Skill
Activate when:
- Creating a new skill from scratch
- Updating or refactoring an existing skill
- Adding progressive disclosure to monolithic skills
- Understanding skill structure and best practices
- Planning skill components (scripts, references, assets)
- Packaging skills for distribution
## Core Principles
1. **Example-Driven Design**: Start with concrete usage examples, not abstract concepts
2. **Progressive Disclosure**: Keep entry point <200 lines (optimal: 140-160), detailed content in references
3. **Reusable Components**: Extract scripts for repeated code, references for knowledge, assets for templates
4. **Imperative Voice**: Use verb-first instructions throughout (not second person)
5. **Purpose-Built Resources**: Each component should solve specific repetitive needs
## What Skills Provide
**Four Core Capabilities:**
1. **Specialized workflows** - Multi-step procedures for specific domains
2. **Tool integrations** - Instructions for working with file formats or APIs
3. **Domain expertise** - Company-specific knowledge, schemas, business logic
4. **Bundled resources** - Scripts, references, and assets for complex tasks
**Three-Level Loading System:**
1. Metadata (name + description) - Always in context (~100 words)
2. SKILL.md body - When skill triggers (<200 lines, optimal: 140-160)
3. Bundled resources - As needed by Claude (unlimited)
## Quick Start
### Six-Step Creation Process
**Step 1: Understand with Concrete Examples**
Gather 3-5 realistic usage examples. Ask: "What would users say to trigger this skill?" and "What tasks should it accomplish?" → [Complete guide](./references/creation-workflow.md#step-1-understanding-the-skill-with-concrete-examples)
**Step 2: Plan Reusable Components**
Analyze examples to identify: scripts (repeated code), references (domain knowledge), assets (templates). → [Planning guide](./references/creation-workflow.md#step-2-planning-the-reusable-skill-contents)
**Step 3: Initialize Skill**
Run `scripts/init_skill.py <skill-name> --path <output-directory>` to generate template structure. → [Initialization details](./references/creation-workflow.md#step-3-initializing-the-skill)
**Step 4: Edit Skill**
Implement scripts/references/assets, then update SKILL.md using imperative voice. Apply progressive disclosure if >150 lines. → [Editing guide](./references/creation-workflow.md#step-4-edit-the-skill)
**Step 5: Package and Validate**
Run `scripts/package_skill.py <path/to/skill-folder>` to validate and create distributable zip. → [Packaging guide](./references/creation-workflow.md#step-5-packaging-a-skill)
**Step 6: Iterate**
Use on real tasks, notice struggles, update skill accordingly. → [Iteration guide](./references/creation-workflow.md#step-6-iterate)
## Skill Anatomy
```
skill-name/
├── SKILL.md (required) # Entry point with frontmatter + markdown
├── scripts/ (optional) # Executable code (Python/Bash)
├── references/ (optional) # Documentation loaded as needed
└── assets/ (optional) # Templates, images, files for output
```
**Component Guidelines:**
- **Scripts**: When same code is repeatedly rewritten or deterministic execution needed
- **References**: For detailed specs, workflows, schemas, API docs (150-500 lines each)
- **Assets**: For templates, boilerplate, images, fonts used in outputs
- **Entry Point**: Core workflow, navigation, reminders (140-160 lines optimal)
→ [Complete structure guide](./references/skill-structure.md)
## Progressive Disclosure Pattern
**When to apply:** Skills >150 lines total
**Implementation:**
1. Add `progressive_disclosure` frontmatter with summary, when_to_use, quick_start
2. Reduce entry point to 140-160 lines (core workflow + navigation)
3. Create 3-5 reference files (150-500 lines each)
4. Organize by topic: structure, workflow, best practices, examples
5. Add navigation section linking all references
**Benefits:**
- Entry loads only essential content
- Deep detail available when needed
- Better organization and maintainability
- 20-30% reduction in entry point size
→ [Complete progressive disclosure guide](./references/progressive-disclosure.md)
**Meta-example:** This skill-creator demonstrates progressive disclosure:
- Entry: 150 lines (28% reduction from 209)
- References: 5 files with complete implementation details
- Recently optimized: mcp-builder (160 lines), testing-anti-patterns (140 lines)
## Navigation
### Core Concepts
- **[🏗️ Skill Structure](./references/skill-structure.md)** - Anatomy, components (scripts/references/assets), progressive disclosure architecture. Load when planning skill layout or understanding resource types.
### Step-by-Step Process
- **[🔄 Creation Workflow](./references/creation-workflow.md)** - Complete 6-step process from examples to iteration. Load when creating new skill or following structured workflow.
### Design Patterns
- **[📊 Progressive Disclosure](./references/progressive-disclosure.md)** - Three-level loading, implementation guide, anti-patterns, examples. Load when refactoring skills >150 lines or optimizing context usage.
### Quality Standards
- **[✅ Best Practices](./references/best-practices.md)** - Writing style, metadata quality, content organization, anti-patterns. Load when writing/reviewing skill content or ensuring quality.
### Real-World Examples
- **[📚 Examples](./references/examples.md)** - Complete skill examples: mcp-builder, testing-anti-patterns, pdf-editor, brand-guidelines, database-builder, frontend-builder. Load when starting new skill or seeking patterns.
## Key Reminders
- **Start with examples** - 3-5 concrete usage scenarios before designing
- **Use init script** - `scripts/init_skill.py` creates proper structure automatically
- **Imperative voice** - "To accomplish X, do Y" (not "should do X")
- **Progressive disclosure** - Entry <200 lines, details in references (for skills >150 lines)
- **Avoid duplication** - Information lives in ONE place (entry summary, reference detail)
- **Component clarity** - Scripts for code, references for knowledge, assets for templates
- **Validate before sharing** - `scripts/package_skill.py` validates and packages
- **Iterate continuously** - Use on real tasks, update based on struggles
## Red Flags - STOP
STOP when:
- "Let me write all the details in SKILL.md" → Move to references (progressive disclosure)
- "I'll use second person" → Switch to imperative voice
- "Same information in entry and reference" → Delete duplication
- Using generic description → Be specific about activation conditions
- Leaving example files from init script → Delete unused resources
- Skipping validation → Always run package_skill.py before sharing
- Creating skill without examples → Gather concrete usage scenarios first
- Entry point >200 lines → Apply progressive disclosure pattern
**ALL of these mean: STOP. Review principles and references.**
## Integration with Other Skills
**Meta-Skills:**
- **skill-creator** (this skill) - Creates other skills, demonstrates its own patterns
**Development Skills:**
- **mcp-builder** - Example of progressive disclosure implementation
- **testing-anti-patterns** - Example of ultra-lean entry point (140 lines)
**Workflow Skills:**
- **documentation** - Writing clear, structured content
- **verification-before-completion** - Testing skills before packaging
## Real-World Impact
From skill optimization experience:
- Progressive disclosure: 20-30% reduction in entry point size
- mcp-builder: 209 → 160 lines (23% reduction, 6 references)
- testing-anti-patterns: → 140 lines (ultra-lean with 4 references)
- skill-creator: 209 → 150 lines (28% reduction, 5 references)
- Context efficiency: Load only needed references (saves 50-80% context)
- Maintainability: Update specific references without touching entry point
- Clarity: Better organization improves discoverability and comprehension
---
**Remember:** Skills are modular packages that transform Claude into a specialized agent. Apply progressive disclosure for skills >150 lines. This skill demonstrates the pattern it teaches.
This skill guides creation of effective Claude Code skills by teaching a reproducible, example-driven workflow and a three-level loading pattern. It focuses on progressive disclosure, reusable components, and packaging to keep entry points lean while exposing deep detail on demand. The materials emphasize practical steps, templates, and validation for maintainable, shareable skills.
The skill inspects a planned skill’s requirements and maps them to reusable components: scripts for deterministic code, references for detailed knowledge, and assets for templates. It prescribes a six-step process—from gathering realistic examples to packaging and iterating—and a progressive disclosure pattern that loads only essential content initially and deeper references as needed. Validation and packaging utilities are recommended to ensure distribution-ready artifacts.
What is progressive disclosure and when should I apply it?
Progressive disclosure keeps the entry point small and defers deep content to referenced files; apply it for skills that exceed ~150 lines or contain dense documentation.
When should I create a script versus a reference?
Create a script for repeated or deterministic execution (code to run). Create a reference for detailed domain knowledge, schemas, or long-form procedures.