WHAT: Guide for creating effective AI agent skills - modular packages that extend Claude's capabilities with specialized knowledge, workflows, and tools. WHEN: User wants to create, write, author, or update a skill. User asks about skill structure, SKILL.md format, or how to package domain knowledge for AI agents. KEYWORDS: "create a skill", "make a skill", "new skill", "skill template", "SKILL.md", "agent skill", "write a skill", "skill structure", "package a skill"
Scanned 2/10/2026
Install to Claude Code
npx -y skills add wpank/ai --skill skill-creator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: skill-creator
model: standard
description: |
WHAT: Guide for creating effective AI agent skills - modular packages that extend Claude's capabilities with specialized knowledge, workflows, and tools.
WHEN: User wants to create, write, author, or update a skill. User asks about skill structure, SKILL.md format, or how to package domain knowledge for AI agents.
KEYWORDS: "create a skill", "make a skill", "new skill", "skill template", "SKILL.md", "agent skill", "write a skill", "skill structure", "package a skill"
---
# Skill Creator
Skills are modular packages that extend Claude's capabilities with specialized knowledge, workflows, and tools. They transform Claude from a general-purpose agent into a specialized one equipped with procedural knowledge.
## Core Principle: Concise is Key
The context window is a public good. Only add context Claude doesn't already have. Challenge each piece: "Does this justify its token cost?"
**Prefer concise examples over verbose explanations.**
## Installation
### OpenClaw / Moltbot / Clawbot
```bash
npx clawhub@latest install skill-creator
```
---
## Skill Anatomy
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter (name, description)
│ └── Markdown instructions
└── Bundled Resources (optional)
├── scripts/ - Executable code
├── references/ - Documentation loaded as needed
└── assets/ - Files used in output
```
### SKILL.md Frontmatter (required)
```yaml
---
name: skill-name
description: |
WHAT: One sentence describing what this skill does.
WHEN: When to use it (contexts, user phrases).
KEYWORDS: trigger phrases in quotes
---
```
The description is the **only** thing Claude reads to decide if the skill triggers. Be comprehensive.
### Body (Markdown)
Instructions and guidance. Only loaded AFTER skill triggers. Keep under 500 lines.
---
## Bundled Resources
### scripts/
Executable code for deterministic or repeated tasks.
- Use when: Same code is rewritten repeatedly, or reliability is critical
- Example: `scripts/rotate_pdf.py`
### references/
Documentation loaded into context as needed.
- Use when: Claude should reference while working
- Examples: schemas, API docs, domain knowledge, detailed guides
- If >10k words, include grep patterns in SKILL.md
- Keep information in EITHER SKILL.md OR references, not both
### assets/
Files used in output, not loaded into context.
- Use when: Output needs these files
- Examples: templates, images, icons, boilerplate code
---
## Creation Workflow
### Step 1: Understand with Examples
Skip only if usage patterns are clearly understood.
Ask:
- "What functionality should this skill support?"
- "Give examples of how this skill would be used?"
- "What would a user say to trigger this skill?"
### Step 2: Plan Reusable Contents
For each example, identify:
1. What scripts would help? (repeated code)
2. What references would help? (domain knowledge)
3. What assets would help? (templates, files)
### Step 3: Initialize the Skill
```bash
scripts/init_skill.py <skill-name> --path <output-directory>
```
Creates:
- SKILL.md template with proper frontmatter
- Example `scripts/`, `references/`, `assets/` directories
### Step 4: Edit the Skill
**Implement resources first** (scripts, references, assets). May require user input for domain-specific content.
**Test scripts** by running them to ensure no bugs.
**Write SKILL.md** with:
- Clear frontmatter description
- Workflow steps in imperative form ("Run X", not "You should run X")
- Links to references with when-to-read guidance
### Step 5: Package the Skill
```bash
scripts/package_skill.py <path/to/skill-folder>
```
Validates structure and creates `.skill` file for distribution.
### Step 6: Iterate
Use the skill on real tasks. Notice struggles. Update and test again.
---
## Progressive Disclosure Patterns
Keep SKILL.md lean. Split content when approaching 500 lines.
**Pattern 1: High-level guide with references**
```markdown
## Advanced features
- **Form filling**: See [FORMS.md](FORMS.md)
- **API reference**: See [REFERENCE.md](REFERENCE.md)
```
**Pattern 2: Domain-specific organization**
```
bigquery-skill/
├── SKILL.md (overview and navigation)
└── references/
├── finance.md
├── sales.md
└── product.md
```
**Pattern 3: Framework/variant organization**
```
cloud-deploy/
├── SKILL.md (workflow + selection)
└── references/
├── aws.md
├── gcp.md
└── azure.md
```
---
## Degrees of Freedom
Match specificity to task fragility:
| Freedom Level | When to Use | Example |
|---------------|-------------|---------|
| High (text) | Multiple valid approaches | General guidelines |
| Medium (pseudocode) | Preferred pattern exists | Scripts with parameters |
| Low (specific scripts) | Fragile, consistency critical | Exact command sequences |
---
## Quality Checklist
- [ ] Description includes WHAT, WHEN, KEYWORDS
- [ ] SKILL.md under 500 lines
- [ ] References are one level deep (not nested)
- [ ] Long references have table of contents
- [ ] Scripts are tested and work
- [ ] No README.md, CHANGELOG.md, or extra documentation
- [ ] Information lives in ONE place (SKILL.md or references, not both)
---
## NEVER
- Create README.md, INSTALLATION_GUIDE.md, CHANGELOG.md, or auxiliary docs
- Duplicate information between SKILL.md and references
- Include "When to Use" sections in the body (put in description)
- Create deeply nested reference hierarchies
- Add scripts without testing them
- Exceed 500 lines in SKILL.md
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