| name | skill-writer |
| description | Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure. |
Skill Writer
This Skill helps you create well-structured Agent Skills for Claude Code that follow best practices and validation requirements.
When to use this Skill
Use this Skill when:
- Creating a new Agent Skill
- Writing or updating SKILL.md files
- Designing skill structure and frontmatter
- Troubleshooting skill discovery issues
- Converting existing prompts or workflows into Skills
Instructions
Step 1: Determine Skill scope
First, understand what the Skill should do:
-
Ask clarifying questions:
- What specific capability should this Skill provide?
- When should Claude use this Skill?
- What tools or resources does it need?
- Is this for personal use or team sharing?
-
Keep it focused: One Skill = one capability
- Good: "PDF form filling", "Excel data analysis"
- Too broad: "Document processing", "Data tools"
Step 2: Choose Skill location
Determine where to create the Skill:
Personal Skills (~/.claude/skills/):
- Individual workflows and preferences
- Experimental Skills
- Personal productivity tools
Project Skills (.claude/skills/):
- Team workflows and conventions
- Project-specific expertise
- Shared utilities (committed to git)
Step 3: Create Skill structure
Create the directory and files:
mkdir -p ~/.claude/skills/skill-name
mkdir -p .claude/skills/skill-name
For multi-file Skills:
skill-name/
├── SKILL.md (required)
├── reference.md (optional)
├── examples.md (optional)
├── scripts/
│ └── helper.py (optional)
└── templates/
└── template.txt (optional)
Step 4: Write SKILL.md frontmatter
Create YAML frontmatter with required fields:
---
name: skill-name
description: Brief description of what this does and when to use it
---
Field requirements:
-
name:
- Lowercase letters, numbers, hyphens only
- Max 64 characters
- Must match directory name
- Good:
pdf-processor, git-commit-helper
- Bad:
PDF_Processor, Git Commits!
-
description:
- Max 1024 characters
- Include BOTH what it does AND when to use it
- Use specific trigger words users would say
- Mention file types, operations, and context
Optional frontmatter fields:
-
allowed-tools: Restrict tool access (comma-separated list)
allowed-tools: Read, Grep, Glob
Use for:
- Read-only Skills
- Security-sensitive workflows
- Limited-scope operations
-
contract: Structured metadata for workflow chaining. Required for any skill that participates in the workflow system (see Writing Contracts below).
contract:
tags: [tag1, tag2]
state_source: spec | security_plan
inputs:
params:
- name: spec_path
required: true
gates:
- field: "Test Plan.status"
value: "Planned"
outputs:
mutates:
- field: "Test Plan.status"
sets_to: "Tests Written"
side_effects: ["Comments GitHub issue"]
next: [implement-to-pass]
human_gate: false
Step 5: Write effective descriptions
The description is critical for Claude to discover your Skill.
Formula: [What it does] + [When to use it] + [Key triggers]
Examples:
✅ Good:
description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
✅ Good:
description: Analyze Excel spreadsheets, create pivot tables, and generate charts. Use when working with Excel files, spreadsheets, or analyzing tabular data in .xlsx format.
❌ Too vague:
description: Helps with documents
description: For data analysis
Tips:
- Include specific file extensions (.pdf, .xlsx, .json)
- Mention common user phrases ("analyze", "extract", "generate")
- List concrete operations (not generic verbs)
- Add context clues ("Use when...", "For...")
Step 6: Structure the Skill content
Use clear Markdown sections:
# Skill Name
Brief overview of what this Skill does.
## Quick start
Provide a simple example to get started immediately.
## Instructions
Step-by-step guidance for Claude:
1. First step with clear action
2. Second step with expected outcome
3. Handle edge cases
## Examples
Show concrete usage examples with code or commands.
## Best practices
- Key conventions to follow
- Common pitfalls to avoid
- When to use vs. not use
## Requirements
List any dependencies or prerequisites:
```bash
pip install package-name
Advanced usage
For complex scenarios, see reference.md.
### Step 7: Add supporting files (optional)
Create additional files for progressive disclosure:
**reference.md**: Detailed API docs, advanced options
**examples.md**: Extended examples and use cases
**scripts/**: Helper scripts and utilities
**templates/**: File templates or boilerplate
Reference them from SKILL.md:
```markdown
For advanced usage, see [reference.md](reference.md).
Run the helper script:
\`\`\`bash
python scripts/helper.py input.txt
\`\`\`
Step 8: Validate the Skill
Check these requirements:
✅ File structure:
✅ YAML frontmatter:
✅ Content quality:
✅ Testing:
Step 9: Test the Skill
-
Restart Claude Code (if running) to load the Skill
-
Ask relevant questions that match the description:
Can you help me extract text from this PDF?
-
Verify activation: Claude should use the Skill automatically
-
Check behavior: Confirm Claude follows the instructions correctly
Step 10: Debug if needed
If Claude doesn't use the Skill:
-
Make description more specific:
- Add trigger words
- Include file types
- Mention common user phrases
-
Check file location:
ls ~/.claude/skills/skill-name/SKILL.md
ls .claude/skills/skill-name/SKILL.md
-
Validate YAML:
cat SKILL.md | head -n 10
-
Run debug mode:
claude --debug
Common patterns
Read-only Skill
---
name: code-reader
description: Read and analyze code without making changes. Use for code review, understanding codebases, or documentation.
allowed-tools: Read, Grep, Glob
---
Script-based Skill
---
name: data-processor
description: Process CSV and JSON data files with Python scripts. Use when analyzing data files or transforming datasets.
---
1. Use the processing script:
\`\`\`bash
python scripts/process.py input.csv --output results.json
\`\`\`
2. Validate output with:
\`\`\`bash
python scripts/validate.py results.json
\`\`\`
Multi-file Skill with progressive disclosure
---
name: api-designer
description: Design REST APIs following best practices. Use when creating API endpoints, designing routes, or planning API architecture.
---
Quick start: See [examples.md](examples.md)
Detailed reference: See [reference.md](reference.md)
1. Gather requirements
2. Design endpoints (see examples.md)
3. Document with OpenAPI spec
4. Review against best practices (see reference.md)
Writing Contracts
If your skill participates in the workflow system (feature path, bug path, security path), add a contract: block to frontmatter. The contract is what makes chaining programmatic — the workflow-router reads contracts to build decision trees and a manager agent uses them to auto-chain skills.
Contract fields
contract:
tags: [tag1, tag2]
state_source: spec
inputs:
params:
- name: spec_path
required: true
gates:
- field: "status"
value: "Approved"
outputs:
mutates:
- field: "Test Plan.status"
sets_to: "Tests Written"
side_effects: []
next: [skill-name]
human_gate: false
When to use shared primitives
Read DESIGN.md first to understand the shared/ vs primitives/ architecture.
If your skill needs general methodology that applies to ANY project, reference existing shared docs or propose creating a new one:
Existing shared docs:
> See shared/github-ops.md for posting comments and updating project status.
> See shared/spec-io.md for reading acceptance criteria and updating Test Plan status.
> See shared/e2e-patterns.md for E2E testing patterns (Playwright, reconnaissance-then-action).
> See shared/test-planning.md for test granularity framework (when to combine vs split tests).
When to create a NEW shared doc:
- Pattern applies to ANY project (not project-specific)
- Used by multiple skills (avoid duplication)
- Methodology, not facts (facts go in primitives/)
- Examples: testing methodology, deployment patterns, code review checklists
When to reference primitives instead:
- Project-specific conventions:
primitives/testing-conventions.md
- Project facts:
primitives/stack.md
- See
DESIGN.md → "Why Shared vs Primitives" for the decision rule
Keep your step headers (e.g. "Step 7: Update GitHub Issue") so the skill's flow is readable. Replace only the implementation details under those steps with the reference.
Example: a complete workflow skill frontmatter
---
name: plan-tests
description: "Create a test plan for an approved spec..."
contract:
tags: [tdd, test-planning]
state_source: spec
inputs:
params:
- name: spec_path
required: true
gates:
- field: "status"
value: "Approved"
outputs:
mutates:
- field: "Test Plan.status"
sets_to: "Planned"
side_effects: []
next: [write-failing-test]
human_gate: false
---
Best practices for Skill authors
- One Skill, one purpose: Don't create mega-Skills
- Specific descriptions: Include trigger words users will say
- Clear instructions: Write for Claude, not humans
- Concrete examples: Show real code, not pseudocode
- List dependencies: Mention required packages in description
- Test with teammates: Verify activation and clarity
- Version your Skills: Document changes in content
- Use progressive disclosure: Put advanced details in separate files
- Add a contract: If your skill is part of the workflow, declare its contract. See Writing Contracts above.
- Use shared primitives: Don't re-implement GitHub ops or spec reading. Reference
shared/github-ops.md and shared/spec-io.md.
Validation checklist
Before finalizing a Skill, verify:
Troubleshooting
Skill doesn't activate:
- Make description more specific with trigger words
- Include file types and operations in description
- Add "Use when..." clause with user phrases
Multiple Skills conflict:
- Make descriptions more distinct
- Use different trigger words
- Narrow the scope of each Skill
Skill has errors:
- Check YAML syntax (no tabs, proper indentation)
- Verify file paths (use forward slashes)
- Ensure scripts have execute permissions
- List all dependencies
Examples
See the documentation for complete examples:
- Simple single-file Skill (commit-helper)
- Skill with tool permissions (code-reviewer)
- Multi-file Skill (pdf-processing)
Output format
When creating a Skill, I will:
- Ask clarifying questions about scope and requirements
- Suggest a Skill name and location
- Create the SKILL.md file with proper frontmatter
- Include clear instructions and examples
- Add supporting files if needed
- Provide testing instructions
- Validate against all requirements
The result will be a complete, working Skill that follows all best practices and validation rules.