Meta-documentation framework for AI-assisted development with Claude Code. Helps beginners practice vibe-coding by providing structured guidance. Connects to Claude Code for code generation and documentation.
git clone https://github.com/alexeykrol/claude-code-starter.gitMeta-documentation framework for AI-assisted development with Claude Code. Helps beginners practice vibe-coding by providing structured guidance. Connects to Claude Code for code generation and documentation.
1. **Initialize**: Start a new conversation in Claude Code with `claude-code-starter` and provide your project type/name. 2. **Generate**: Run the starter script to create the full project structure automatically. 3. **Review**: Check the generated files in your IDE - focus on README.md first. 4. **Extend**: Use the starter's guidance in README.md to modify core files. 5. **Iterate**: Run tests with `pytest` (or your test framework) and refine as needed. Tip: Use `claude /edit` to modify specific files after generation.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/alexeykrol/claude-code-starterCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use claude-code-starter to generate a complete project structure for a [PROJECT_TYPE] called [PROJECT_NAME]. Include: 1) A README.md with setup instructions, 2) A basic implementation in [LANGUAGE], 3) Unit tests in [TEST_FRAMEWORK], 4) A .gitignore file, and 5) A simple script to run the project. Start by creating the directory structure and files. Then implement the core functionality with clear comments. Finally, add a section in the README explaining how to extend the project.
## Project: `task-tracker-cli`
**Directory Structure:**
task-tracker-cli/
├── src/
│ ├── main.py # Core CLI logic
│ └── models.py # Data models
├── tests/
│ └── test_main.py # Unit tests
├── README.md # Setup & usage guide
├── .gitignore # Python exclusions
└── run.sh # Quick start script
**Implementation (src/main.py):**
```python
def add_task(task_name: str, priority: int = 1) -> dict:
"""Add a new task to the tracker."""
task = {
"id": len(tasks) + 1,
"name": task_name,
"priority": priority,
"completed": False
}
tasks.append(task)
return task
if __name__ == "__main__":
print("Task Tracker CLI - Type 'exit' to quit")
while True:
cmd = input("> ").strip()
if cmd == "exit":
break
elif cmd.startswith("add "):
_, name = cmd.split(" ", 1)
add_task(name)
print(f"Added task: {name}")
```
**README.md Excerpt:**
```markdown
## Extending the Project
1. Add new commands by extending the `main.py` input loop
2. Store tasks in a file by modifying `models.py`
3. Add sorting by priority in `src/utils.py`
```
The project is ready to run with `./run.sh` which installs dependencies and starts the CLI.AI assistant built for thoughtful, nuanced conversation
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