Claude Code Skill Expert

A Claude Code skill for creating, maintaining, and optimizing Claude Code skills themselves. Provides patterns and best practices for skill development, including prompt structure, tool integration, context management, and skill composition for building effective, reusable Claude Code skills.

When to Use This Skill

Choose CC Skill Expert when:

• You want to create a new Claude Code skill for your project
• You need to optimize an existing skill for better performance
• You want to understand best practices for skill prompt engineering
• You need to compose multiple skills into a cohesive workflow
• You want to structure your CLAUDE.md or skill files effectively

Consider alternatives when:

• You need general prompt engineering (use a prompt engineering skill)
• You want to build AI agents (use an agent platform skill)
• You need to refactor instruction files (use an agent MD refactor skill)

Quick Start

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# Install the skill
claude install cc-skill-expert

# Create a new skill
claude "Create a Claude Code skill for code review that checks for security issues, performance problems, and style violations"

# Optimize an existing skill
claude "Optimize this skill prompt for better results: [paste current skill]"

# Compose skills
claude "Design a skill composition: code-review → test-generator → documentation-updater that runs in sequence"

Core Concepts

Skill Structure

Section	Purpose	Length
Title & Description	What the skill does	1-2 sentences
When to Use	Trigger conditions	5-7 bullet points
Instructions	Core behavior rules	10-20 directives
Context	Background knowledge	As needed
Output Format	Expected response structure	Template
Examples	Input/output pairs	2-3 examples

Skill Prompt Anatomy

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# Skill Name

You are an expert in [domain]. Your role is to [primary function].

## Rules
1. Always [critical behavior]
2. Never [prohibited action]
3. When [condition], do [action]

## Process
1. First, [step one]
2. Then, [step two]
3. Finally, [step three]

## Output Format
[Template for expected output]

Skill Quality Dimensions

Dimension	Good	Bad
Specificity	"Use Zod for validation"	"Validate input somehow"
Actionability	"Return JSON with {status, data, error}"	"Return appropriate response"
Consistency	Same output format every time	Varies randomly
Robustness	Handles edge cases gracefully	Fails on unusual inputs
Composability	Works well with other skills	Conflicts with other instructions

Configuration

Parameter	Type	Default	Description
skill_type	string	"development"	Type: development, review, generation, analysis
complexity	string	"moderate"	Complexity: simple, moderate, advanced
output_format	string	"markdown"	Format: markdown, json, code, mixed
composable	boolean	true	Design for skill composition
include_examples	boolean	true	Include few-shot examples

Best Practices

1. Be specific and prescriptive — "Format code with 2-space indentation, single quotes, and trailing commas" is effective. "Format code nicely" is not. Specific instructions produce consistent results.

2. Front-load the most important rules — Claude pays more attention to instructions at the beginning. Put your critical rules first and less important guidelines later. The first 3 rules matter most.

3. Include negative examples — Show what not to do alongside what to do. "Don't return raw error objects to the user — instead, return { error: { code, message } }" is more effective than just stating the positive pattern.

4. Keep context focused — Only include context that directly affects the skill's output. A skill for generating API docs doesn't need to know about your deployment process. Irrelevant context dilutes attention to relevant instructions.

5. Test with edge cases — Run your skill against unusual inputs: empty files, very large codebases, code in unfamiliar languages, ambiguous requests. Robust skills handle edge cases gracefully rather than producing garbage output.

Common Issues

Skill produces inconsistent results — Your instructions are likely too vague. Add specific output templates, explicit formatting rules, and few-shot examples. The more precise your instructions, the more consistent the output.

Skill is too long and loses focus — Keep skill prompts under 2,000 words. If you need more, extract reference material into separate files using progressive disclosure. The core skill should contain only essential rules.

Skills conflict with each other — When composing skills, ensure they don't have contradictory instructions. Use namespacing (different output sections) and clear scope boundaries (this skill handles X, that skill handles Y).