Claude Code Cookbook provides pre-configured commands, roles, and automation scripts to enhance Claude Code's functionality. Operations teams can streamline workflows by integrating these settings into their existing systems, improving efficiency and reducing manual effort.
git clone https://github.com/wasabeef/claude-code-cookbook.githttps://docs.claude.com/claude-code
Automate pull request creation and management with custom slash commands.
Switch to expert roles for specialized assistance in security, architecture, and performance.
Utilize automated scripts to trigger actions based on specific development events.
Enhance code quality through dedicated commands for refactoring and analyzing dependencies.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/wasabeef/claude-code-cookbookCopy 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.
Act as a developer with access to the Claude Code Cookbook. I'm working on a [PROJECT_TYPE] for [COMPANY] in the [INDUSTRY] sector. I need help with [SPECIFIC_TASK]. Use the cookbook to provide me with optimized code snippets, best practices, and automation strategies tailored to this scenario.
# Claude Code Cookbook Recommendations
## For Your E-Commerce Inventory Management System
Based on your project requirements for GreenGrove Retail in the e-commerce sector, here are some optimized solutions from the Claude Code Cookbook:
### Database Optimization
- **Indexing Strategy**: Implement composite indexes on `product_id` and `category` columns
- **Query Optimization**: Use this optimized query for inventory checks:
```sql
SELECT product_name, stock_quantity FROM inventory
WHERE category = 'organic' AND stock_quantity < 10
ORDER BY stock_quantity ASC;
```
### Automation Scripts
- **Inventory Alert System**: Set up a Python script using the following template:
```python
def check_low_inventory(threshold):
# Connect to database
# Query products below threshold
# Send email alerts
```
### Best Practices
- Implement a caching layer for frequently accessed product data
- Use connection pooling for database connections
- Schedule regular database maintenance during off-peak hours
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