claude-code/plugins/plugin-dev/skills/plugin-structure/examples/standard-plugin.md
Daisy S. Hollman 387dc35db7
feat: Add plugin-dev toolkit for comprehensive plugin development
Adds the plugin-dev plugin to public marketplace. A comprehensive toolkit for
developing Claude Code plugins with 7 expert skills, 3 AI-assisted agents, and
extensive documentation covering the complete plugin development lifecycle.

Key features:
- 7 skills: hook-development, mcp-integration, plugin-structure, plugin-settings,
  command-development, agent-development, skill-development
- 3 agents: agent-creator (AI-assisted generation), plugin-validator (structure
  validation), skill-reviewer (quality review)
- 1 command: /plugin-dev:create-plugin (guided 8-phase workflow)
- 10 utility scripts for validation and testing
- 21 reference docs with deep-dive guidance (~11k words)
- 9 working examples demonstrating best practices

Changes for public release:
- Replaced all references to internal repositories with "Claude Code"
- Updated MCP examples: internal.company.com → api.example.com
- Updated token variables: ${INTERNAL_TOKEN} → ${API_TOKEN}
- Reframed agent-creation-system-prompt as "proven in production"
- Preserved all ${CLAUDE_PLUGIN_ROOT} references (186 total)
- Preserved valuable test blocks in core modules

Validation:
- All 3 agents validated successfully with validate-agent.sh
- All JSON files validated with jq
- Zero internal references remaining
- 59 files migrated, 21,971 lines added

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 04:09:00 -08:00

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# Standard Plugin Example
A well-structured plugin with commands, agents, and skills.
## Directory Structure
```
code-quality/
├── .claude-plugin/
│ └── plugin.json
├── commands/
│ ├── lint.md
│ ├── test.md
│ └── review.md
├── agents/
│ ├── code-reviewer.md
│ └── test-generator.md
├── skills/
│ ├── code-standards/
│ │ ├── SKILL.md
│ │ └── references/
│ │ └── style-guide.md
│ └── testing-patterns/
│ ├── SKILL.md
│ └── examples/
│ ├── unit-test.js
│ └── integration-test.js
├── hooks/
│ ├── hooks.json
│ └── scripts/
│ └── validate-commit.sh
└── scripts/
├── run-linter.sh
└── generate-report.py
```
## File Contents
### .claude-plugin/plugin.json
```json
{
"name": "code-quality",
"version": "1.0.0",
"description": "Comprehensive code quality tools including linting, testing, and review automation",
"author": {
"name": "Quality Team",
"email": "quality@example.com"
},
"homepage": "https://docs.example.com/plugins/code-quality",
"repository": "https://github.com/example/code-quality-plugin",
"license": "MIT",
"keywords": ["code-quality", "linting", "testing", "code-review", "automation"]
}
```
### commands/lint.md
```markdown
---
name: lint
description: Run linting checks on the codebase
---
# Lint Command
Run comprehensive linting checks on the project codebase.
## Process
1. Detect project type and installed linters
2. Run appropriate linters (ESLint, Pylint, RuboCop, etc.)
3. Collect and format results
4. Report issues with file locations and severity
## Implementation
Execute the linting script:
\`\`\`bash
bash ${CLAUDE_PLUGIN_ROOT}/scripts/run-linter.sh
\`\`\`
Parse the output and present issues organized by:
- Critical issues (must fix)
- Warnings (should fix)
- Style suggestions (optional)
For each issue, show:
- File path and line number
- Issue description
- Suggested fix (if available)
```
### commands/test.md
```markdown
---
name: test
description: Run test suite with coverage reporting
---
# Test Command
Execute the project test suite and generate coverage reports.
## Process
1. Identify test framework (Jest, pytest, RSpec, etc.)
2. Run all tests
3. Generate coverage report
4. Identify untested code
## Output
Present results in structured format:
- Test summary (passed/failed/skipped)
- Coverage percentage by file
- Critical untested areas
- Failed test details
## Integration
After test completion, offer to:
- Fix failing tests
- Generate tests for untested code (using test-generator agent)
- Update documentation based on test changes
```
### agents/code-reviewer.md
```markdown
---
description: Expert code reviewer specializing in identifying bugs, security issues, and improvement opportunities
capabilities:
- Analyze code for potential bugs and logic errors
- Identify security vulnerabilities
- Suggest performance improvements
- Ensure code follows project standards
- Review test coverage adequacy
---
# Code Reviewer Agent
Specialized agent for comprehensive code review.
## Expertise
- **Bug detection**: Logic errors, edge cases, error handling
- **Security analysis**: Injection vulnerabilities, authentication issues, data exposure
- **Performance**: Algorithm efficiency, resource usage, optimization opportunities
- **Standards compliance**: Style guide adherence, naming conventions, documentation
- **Test coverage**: Adequacy of test cases, missing scenarios
## Review Process
1. **Initial scan**: Quick pass for obvious issues
2. **Deep analysis**: Line-by-line review of changed code
3. **Context evaluation**: Check impact on related code
4. **Best practices**: Compare against project and language standards
5. **Recommendations**: Prioritized list of improvements
## Integration with Skills
Automatically loads `code-standards` skill for project-specific guidelines.
## Output Format
For each file reviewed:
- Overall assessment
- Critical issues (must fix before merge)
- Important issues (should fix)
- Suggestions (nice to have)
- Positive feedback (what was done well)
```
### agents/test-generator.md
```markdown
---
description: Generates comprehensive test suites from code analysis
capabilities:
- Analyze code structure and logic flow
- Generate unit tests for functions and methods
- Create integration tests for modules
- Design edge case and error condition tests
- Suggest test fixtures and mocks
---
# Test Generator Agent
Specialized agent for generating comprehensive test suites.
## Expertise
- **Unit testing**: Individual function/method tests
- **Integration testing**: Module interaction tests
- **Edge cases**: Boundary conditions, error paths
- **Test organization**: Proper test structure and naming
- **Mocking**: Appropriate use of mocks and stubs
## Generation Process
1. **Code analysis**: Understand function purpose and logic
2. **Path identification**: Map all execution paths
3. **Input design**: Create test inputs covering all paths
4. **Assertion design**: Define expected outputs
5. **Test generation**: Write tests in project's framework
## Integration with Skills
Automatically loads `testing-patterns` skill for project-specific test conventions.
## Test Quality
Generated tests include:
- Happy path scenarios
- Edge cases and boundary conditions
- Error handling verification
- Mock data for external dependencies
- Clear test descriptions
```
### skills/code-standards/SKILL.md
```markdown
---
name: Code Standards
description: This skill should be used when reviewing code, enforcing style guidelines, checking naming conventions, or ensuring code quality standards. Provides project-specific coding standards and best practices.
version: 1.0.0
---
# Code Standards
Comprehensive coding standards and best practices for maintaining code quality.
## Overview
Enforce consistent code quality through standardized conventions for:
- Code style and formatting
- Naming conventions
- Documentation requirements
- Error handling patterns
- Security practices
## Style Guidelines
### Formatting
- **Indentation**: 2 spaces (JavaScript/TypeScript), 4 spaces (Python)
- **Line length**: Maximum 100 characters
- **Braces**: Same line for opening brace (K&R style)
- **Whitespace**: Space after commas, around operators
### Naming Conventions
- **Variables**: camelCase for JavaScript, snake_case for Python
- **Functions**: camelCase, descriptive verb-noun pairs
- **Classes**: PascalCase
- **Constants**: UPPER_SNAKE_CASE
- **Files**: kebab-case for modules
## Documentation Requirements
### Function Documentation
Every function must include:
- Purpose description
- Parameter descriptions with types
- Return value description with type
- Example usage (for public functions)
### Module Documentation
Every module must include:
- Module purpose
- Public API overview
- Usage examples
- Dependencies
## Error Handling
### Required Practices
- Never swallow errors silently
- Always log errors with context
- Use specific error types
- Provide actionable error messages
- Clean up resources in finally blocks
### Example Pattern
\`\`\`javascript
async function processData(data) {
try {
const result = await transform(data)
return result
} catch (error) {
logger.error('Data processing failed', {
data: sanitize(data),
error: error.message,
stack: error.stack
})
throw new DataProcessingError('Failed to process data', { cause: error })
}
}
\`\`\`
## Security Practices
- Validate all external input
- Sanitize data before output
- Use parameterized queries
- Never log sensitive information
- Keep dependencies updated
## Detailed Guidelines
For comprehensive style guides by language, see:
- `references/style-guide.md`
```
### skills/code-standards/references/style-guide.md
```markdown
# Comprehensive Style Guide
Detailed style guidelines for all supported languages.
## JavaScript/TypeScript
### Variable Declarations
Use `const` by default, `let` when reassignment needed, never `var`:
\`\`\`javascript
// Good
const MAX_RETRIES = 3
let currentTry = 0
// Bad
var MAX_RETRIES = 3
\`\`\`
### Function Declarations
Use function expressions for consistency:
\`\`\`javascript
// Good
const calculateTotal = (items) => {
return items.reduce((sum, item) => sum + item.price, 0)
}
// Bad (inconsistent style)
function calculateTotal(items) {
return items.reduce((sum, item) => sum + item.price, 0)
}
\`\`\`
### Async/Await
Prefer async/await over promise chains:
\`\`\`javascript
// Good
async function fetchUserData(userId) {
const user = await db.getUser(userId)
const orders = await db.getOrders(user.id)
return { user, orders }
}
// Bad
function fetchUserData(userId) {
return db.getUser(userId)
.then(user => db.getOrders(user.id)
.then(orders => ({ user, orders })))
}
\`\`\`
## Python
### Import Organization
Order imports: standard library, third-party, local:
\`\`\`python
# Good
import os
import sys
import numpy as np
import pandas as pd
from app.models import User
from app.utils import helper
# Bad - mixed order
from app.models import User
import numpy as np
import os
\`\`\`
### Type Hints
Use type hints for all function signatures:
\`\`\`python
# Good
def calculate_average(numbers: list[float]) -> float:
return sum(numbers) / len(numbers)
# Bad
def calculate_average(numbers):
return sum(numbers) / len(numbers)
\`\`\`
## Additional Languages
See language-specific guides for:
- Go: `references/go-style.md`
- Rust: `references/rust-style.md`
- Ruby: `references/ruby-style.md`
```
### hooks/hooks.json
```json
{
"PreToolUse": [
{
"matcher": "Write|Edit",
"hooks": [
{
"type": "prompt",
"prompt": "Before modifying code, verify it meets our coding standards from the code-standards skill. Check formatting, naming conventions, and documentation. If standards aren't met, suggest improvements.",
"timeout": 30
}
]
}
],
"Stop": [
{
"matcher": ".*",
"hooks": [
{
"type": "command",
"command": "bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/validate-commit.sh",
"timeout": 45
}
]
}
]
}
```
### hooks/scripts/validate-commit.sh
```bash
#!/bin/bash
# Validate code quality before task completion
set -e
# Check if there are any uncommitted changes
if [[ -z $(git status -s) ]]; then
echo '{"systemMessage": "No changes to validate. Task complete."}'
exit 0
fi
# Run linter on changed files
CHANGED_FILES=$(git diff --name-only --cached | grep -E '\.(js|ts|py)$' || true)
if [[ -z "$CHANGED_FILES" ]]; then
echo '{"systemMessage": "No code files changed. Validation passed."}'
exit 0
fi
# Run appropriate linters
ISSUES=0
for file in $CHANGED_FILES; do
case "$file" in
*.js|*.ts)
if ! npx eslint "$file" --quiet; then
ISSUES=$((ISSUES + 1))
fi
;;
*.py)
if ! python -m pylint "$file" --errors-only; then
ISSUES=$((ISSUES + 1))
fi
;;
esac
done
if [[ $ISSUES -gt 0 ]]; then
echo "{\"systemMessage\": \"Found $ISSUES code quality issues. Please fix before completing.\"}"
exit 1
fi
echo '{"systemMessage": "Code quality checks passed. Ready to commit."}'
exit 0
```
## Usage Examples
### Running Commands
```
$ claude
> /lint
Running linter checks...
Critical Issues (2):
src/api/users.js:45 - SQL injection vulnerability
src/utils/helpers.js:12 - Unhandled promise rejection
Warnings (5):
src/components/Button.tsx:23 - Missing PropTypes
...
Style Suggestions (8):
src/index.js:1 - Use const instead of let
...
> /test
Running test suite...
Test Results:
✓ 245 passed
✗ 3 failed
○ 2 skipped
Coverage: 87.3%
Untested Files:
src/utils/cache.js - 0% coverage
src/api/webhooks.js - 23% coverage
Failed Tests:
1. User API GET /users should handle pagination
Expected 200, received 500
...
```
### Using Agents
```
> Review the changes in src/api/users.js
[code-reviewer agent selected automatically]
Code Review: src/api/users.js
Critical Issues:
1. Line 45: SQL injection vulnerability
- Using string concatenation for SQL query
- Replace with parameterized query
- Priority: CRITICAL
2. Line 67: Missing error handling
- Database query without try/catch
- Could crash server on DB error
- Priority: HIGH
Suggestions:
1. Line 23: Consider caching user data
- Frequent DB queries for same users
- Add Redis caching layer
- Priority: MEDIUM
```
## Key Points
1. **Complete manifest**: All recommended metadata fields
2. **Multiple components**: Commands, agents, skills, hooks
3. **Rich skills**: References and examples for detailed information
4. **Automation**: Hooks enforce standards automatically
5. **Integration**: Components work together cohesively
## When to Use This Pattern
- Production plugins for distribution
- Team collaboration tools
- Plugins requiring consistency enforcement
- Complex workflows with multiple entry points