code-generator
Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Best use case
code-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "code-generator" skill to help with this workflow task. Context: Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-generator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-generator Compares
| Feature / Agent | code-generator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generates production-ready code scaffolds, functions, classes, and project structures across Python, TypeScript, Java, and Go. Use when the user asks to generate code from templates, scaffold a new project, create boilerplate classes or modules, or automate repetitive code creation tasks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
## When to use this skill
Use this skill whenever the user wants to:
- Generate functions, classes, or modules with proper documentation and error handling
- Scaffold a new project with configuration files and directory structure
- Create boilerplate code (CRUD controllers, service layers, data models)
- Refactor or optimize existing code structure
- Generate code from templates or specifications
## How to use this skill
### Workflow
1. **Clarify requirements** - Identify the target language, framework, and coding conventions
2. **Choose the generation type** - Function/class, module/package, or full project scaffold
3. **Generate code** - Produce complete, documented, tested code following the patterns below
4. **Validate output** - Ensure the code compiles/runs and follows project conventions
### Code Generation Patterns
**Function generation (Python example):**
```python
def calculate_order_total(
items: list[OrderItem],
discount_pct: float = 0.0,
tax_rate: float = 0.08,
) -> Decimal:
"""Calculate the total price for an order including tax and discount.
Args:
items: List of order items with price and quantity.
discount_pct: Discount percentage (0.0 to 1.0).
tax_rate: Tax rate to apply after discount.
Returns:
Final order total as a Decimal rounded to 2 places.
Raises:
ValueError: If discount_pct is not between 0 and 1.
"""
if not 0 <= discount_pct <= 1:
raise ValueError(f"discount_pct must be 0-1, got {discount_pct}")
subtotal = sum(item.price * item.quantity for item in items)
discounted = subtotal * Decimal(1 - discount_pct)
total = discounted * Decimal(1 + tax_rate)
return total.quantize(Decimal("0.01"))
```
**Project scaffold (TypeScript/Node):**
```
my-service/
├── src/
│ ├── controllers/ # Route handlers
│ ├── services/ # Business logic
│ ├── models/ # Data models / DTOs
│ ├── middleware/ # Auth, logging, error handling
│ └── index.ts # Entry point
├── tests/
│ ├── unit/
│ └── integration/
├── package.json
├── tsconfig.json
└── README.md
```
### Supported Languages
- Python (with type hints, docstrings, pytest)
- JavaScript / TypeScript (ESM, JSDoc or TSDoc)
- Java (JavaDoc, Maven/Gradle)
- Go (godoc, modules)
- Rust (rustdoc, Cargo)
## Best Practices
1. **Always include error handling** - Validate inputs, use typed exceptions, return meaningful error messages
2. **Add documentation** - Every public function/class gets a docstring with params, returns, and raises
3. **Follow language conventions** - PEP 8 for Python, gofmt for Go, Prettier for TypeScript
4. **Generate tests alongside code** - At minimum, one happy-path and one error-path test per function
5. **Use type annotations** - Catch bugs early with static typing where the language supports it
## Keywords
代码生成, code generation, scaffold, boilerplate, template, 函数, 类, 模块, project structure, code scaffold, 项目脚手架Related Skills
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