Our review
This skill enables agents to generate production-ready code following industry best practices and project-specific conventions.
Strengths
- Analyzes project structure before generation to adhere to existing conventions.
- Automatically includes error handling, input validation, and test stubs.
- Enforces quality standards such as type hints and short, single-responsibility functions.
- Avoids common anti-patterns like god classes, deep nesting, and magic numbers.
Limitations
- Quality depends on the accuracy of the project analysis.
- May not cover all edge cases or complex business logic.
- Requires up-to-date reference files (style guides, examples).
Use this skill when you need to quickly produce robust, maintainable code that integrates into an existing codebase.
Do not use it for exploratory prototypes or when flexibility is more important than code rigor.
Security analysis
CautionThe skill is intended for code generation, which legitimately requires filesystem and shell access. However, it relies on running external scripts from the skill’s own directory without any safeguards. If the skill source is untrusted, these scripts could perform arbitrary actions, including data exfiltration or system modification, raising the risk level to caution.
- •Skill instructs execution of Python scripts (scripts/analyze_project.py, scripts/generate_tests.py) from its own package, which could contain arbitrary code.
- •Declares shell and git tools, enabling potentially harmful system commands if scripts are malicious.
- •No mention of sandboxing, review requirements, or trust verification of the scripts.
Examples
Generate a function that validates email addresses using regex. Include type hints, docstring, and error handling.Create a UserService class with CRUD operations. Use dependency injection and proper typing.Generate a Python Flask endpoint for user registration. Include input validation, error handling, logging, and a unit test stub.name: code-generation description: Generate high-quality, production-ready code following best practices version: 1.0.0 author: Vertice Agency tools:
- filesystem
- shell
- git
Code Generation Skill
Overview
This skill enables agents to generate production-ready code following industry best practices, design patterns, and the project's coding standards.
Instructions
Before Generating Code
- Analyze the project structure using
scripts/analyze_project.py - Load relevant context from
references/ - Check existing patterns in the codebase
Code Quality Standards
- Follow language-specific style guides
- Include type hints (Python) or TypeScript types
- Write self-documenting code with clear names
- Keep functions under 50 lines
- Single responsibility principle
Generated Code Must Include
- Proper error handling
- Input validation at boundaries
- Logging for debugging
- Unit test stubs when appropriate
Anti-Patterns to Avoid
- God classes/functions
- Deep nesting (max 3 levels)
- Magic numbers/strings
- Commented-out code
- Print debugging
Scripts
analyze_project.py
Analyzes project structure and returns coding conventions.
generate_tests.py
Generates test stubs for new code.
References
references/style_guides/- Language-specific guidesreferences/patterns/- Common design patternsreferences/examples/- Code examples
Examples
Generate a Python function
Generate a function that validates email addresses using regex.
Include type hints, docstring, and error handling.
Generate a TypeScript class
Create a UserService class with CRUD operations.
Use dependency injection and proper typing.
Next.js App Router Expert
Development
A skill that turns Claude into a Next.js App Router expert.
README Generator
Development
Creates professional and comprehensive README.md files for your projects.
API Documentation Writer
Development
Generates comprehensive API documentation in OpenAPI/Swagger format.