Our review
Helps users create high-quality Claude Code skills following best practices and prompt engineering principles.
Strengths
- Provides step-by-step creation process
- Covers auto-discovery keywords and description best practices
- Includes template and checklist for consistency
Limitations
- Only applicable to Claude Code environment
- Does not cover all possible skill integrations
- Requires initial understanding of skill system
When you need to create a new custom skill for Claude Code or improve an existing one.
When you are not using Claude Code or need general programming assistance unrelated to skills.
Security analysis
SafeThe skill is a meta-instruction about creating other skills. It contains no executable code, no harmful directives, and does not instruct the AI to perform risky actions. It is purely informational and safe.
No concerns found
Examples
Create a new Claude Code skill that reads and summarizes CSV files with a simple slash command.Help me write a better description for my Claude Code skill that extracts email addresses from text files.I want to build a custom skill for Claude Code that automatically formats SQL queries. Walk me through the process.name: create-skill description: Create new Claude Code skills with best practices. Use when the user wants to create, build, or develop a new skill, or when they mention SKILL.md, skill creation, or custom commands. user-invocable: true
Create Skill
Overview
This skill guides you through creating high-quality Claude Code skills following Anthropic's best practices and prompt engineering principles.
Quick Start
When creating a new skill:
- Ask for skill requirements - Understand what the skill should do
- Design the skill structure - Plan files and progressive disclosure
- Write the SKILL.md - Create the main instruction file
- Add reference files - Create supporting documentation if needed
- Test and iterate - Verify the skill works as expected
Skill Creation Process
Step 1: Gather Requirements
Ask the user:
- What should the skill do?
- When should it be triggered (auto-discovery keywords)?
- What tools does it need access to?
- Should it be user-invocable (slash command)?
Step 2: Create Directory Structure
~/.claude/skills/{skill-name}/
├── SKILL.md # Required: Main instructions
├── reference.md # Optional: Detailed documentation
├── examples.md # Optional: Usage examples
└── scripts/ # Optional: Utility scripts
└── helper.py
Location Guide:
| Location | Path | Scope |
|:---------|:-----|:------|
| Personal | ~/.claude/skills/ | All your projects |
| Project | .claude/skills/ | Current repository |
Step 3: Write SKILL.md
Use this template:
---
name: skill-name
description: [Specific description with keywords for auto-discovery. Describe WHAT it does and WHEN to use it.]
user-invocable: true
allowed-tools: [Optional: Tool restrictions]
---
# Skill Title
## Quick Start
[Essential instructions - what Claude needs to know immediately]
## Workflow
[Step-by-step process]
## Examples
[Concrete input/output examples]
## Advanced Features
For detailed reference, see [reference.md](reference.md).
Best Practices Checklist
Description (Critical for Auto-Discovery)
<good_description> 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>
<bad_description> description: Helps with documents </bad_description>
Rules:
- Include specific keywords users might mention
- State WHAT it does AND WHEN to use it
- Write in third person ("Processes files" not "I process files")
- Be specific, not vague
Content Guidelines
<conciseness> - Keep SKILL.md under 500 lines - Only include what Claude doesn't already know - Claude is smart - don't over-explain - Challenge each piece: "Does Claude really need this?" </conciseness><progressive_disclosure>
- Put essential info in SKILL.md
- Link to detailed docs in separate files
- Claude loads additional files only when needed </progressive_disclosure>
<consistent_terminology>
- Choose one term and stick with it
- "API endpoint" everywhere, not "URL/route/path"
- "Extract" everywhere, not "pull/get/retrieve" </consistent_terminology>
Prompt Engineering Principles
<explicit_instructions> Be direct and explicit. Tell Claude exactly what to do.
LESS EFFECTIVE: "Handle errors appropriately" MORE EFFECTIVE: "Catch exceptions, log the error message, and return a structured error response with status code and message." </explicit_instructions>
<provide_context> Explain WHY, not just WHAT.
LESS EFFECTIVE: "Always validate input" MORE EFFECTIVE: "Validate input because this data comes from external users and could contain malicious content or unexpected formats." </provide_context>
<use_examples> Show concrete input/output pairs:
Example: Input: User request to format date Output:
const formatted = new Intl.DateTimeFormat('en-US').format(date);
</use_examples>
<xml_tags> Use XML tags for structured sections - Claude is fine-tuned to respond to them:
<task>Description</task>
<constraints>Limits</constraints>
<output_format>Expected format</output_format>
</xml_tags>
Degrees of Freedom
| Level | When to Use | Example | |:------|:------------|:--------| | High | Multiple approaches valid | General code review guidance | | Medium | Preferred pattern exists | Template with customization | | Low | Consistency critical | Exact script sequences |
Tool Restrictions
allowed-tools: Read, Grep, Glob, Bash(python:*)
Common patterns:
- Read-only:
Read, Grep, Glob - With Python:
Read, Bash(python:*) - Full access: omit
allowed-tools
Frontmatter Reference
---
name: skill-name # Required: Unique identifier
description: Description here # Required: For auto-discovery
user-invocable: true # Optional: Show in slash menu (default: true)
disable-model-invocation: false # Optional: Block Skill tool (default: false)
allowed-tools: Read, Grep # Optional: Restrict available tools
context: fork # Optional: Run in isolated context
agent: Explore # Optional: Use specific agent type
hooks: # Optional: Lifecycle hooks
PreToolUse:
- matcher: "Bash"
hooks:
- type: command
command: "./check.sh"
---
Testing the Skill
After creating the skill:
- Test auto-discovery - Ask Claude something matching the description
- Test slash command - Use
/skill-namedirectly - Test with different models - Haiku needs more guidance, Opus needs less
- Iterate based on results - Refine instructions if needed
Common Patterns
Validation Workflow
1. Run validation: `script validate input`
2. Review results
3. Fix any issues
4. Re-validate until passing
Multi-Step Process
## Workflow
1. [First step]
2. [Second step]
3. [Verification step]
4. [Final step]
Script Integration
## Scripts
- `scripts/analyze.py` - Analyzes input
- `scripts/process.py` - Processes data
- `scripts/validate.py` - Validates output
Run scripts, don't load their contents into context.
Additional Resources
For detailed examples and advanced patterns, see:
- examples.md - Complete skill examples
- reference.md - Full frontmatter reference
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