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
[{"step":"Identify the specific task you want to automate (e.g., deployment, testing, monitoring).","action":"Browse the Claude Code Cookbook for pre-configured entries matching your task. Use the search function or filter by category (e.g., 'AWS', 'Python', 'CI/CD').","tip":"Look for entries labeled 'automated' or 'production-ready' for the most reliable scripts."},{"step":"Customize the [PLACEHOLDERS] in the selected cookbook entry for your environment.","action":"Replace placeholders like [APP_NAME], [REGION], or [CRITERIA] with your actual values. For example, update AWS region to 'us-west-2' or app name to 'my-flask-app'.","tip":"Use environment variables for sensitive data (e.g., API keys) to avoid hardcoding them in scripts."},{"step":"Test the script in a staging environment before deploying to production.","action":"Run the script locally or in a test environment using Claude Code. Verify outputs and error handling. Example: `claude run deploy_flask_app.py --env staging`.","tip":"Enable verbose logging in the script (e.g., `--verbose` flag) to debug issues during testing."},{"step":"Integrate the script into your existing workflows (e.g., CI/CD pipelines, cron jobs).","action":"Schedule the script to run automatically using tools like GitHub Actions, Jenkins, or cron. For example, add a step in your GitHub Actions workflow to deploy after a merge to main.","tip":"Store the script in a shared repository (e.g., GitHub) and document its usage for your team."},{"step":"Monitor and maintain the script over time.","action":"Set up alerts for failures (e.g., via Slack or email). Update the script when dependencies (e.g., AWS CLI, Python packages) change.","tip":"Use the cookbook's versioning system to track changes and roll back if needed."}]
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.
Use the Claude Code Cookbook to [ACTION] for [SYSTEM/TARGET]. Follow the [SPECIFIC_COOKBOOK_ENTRY] guidelines. Example: 'Use the Claude Code Cookbook to automate the deployment of a Python Flask app to AWS Elastic Beanstalk following the 'deploy-python-app' entry. Ensure the script includes environment variable validation and rollback capabilities.'
Here’s the automated deployment script generated using the 'deploy-python-app' entry from the Claude Code Cookbook for a Flask application targeting AWS Elastic Beanstalk:
```python
# deploy_flask_app.py
import os
import subprocess
from pathlib import Path
def validate_environment():
"""Ensure required environment variables are set."""
required_vars = ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'AWS_REGION', 'EB_APP_NAME']
missing_vars = [var for var in required_vars if var not in os.environ]
if missing_vars:
raise ValueError(f"Missing environment variables: {', '.join(missing_vars)}")
def deploy_to_elastic_beanstalk():
"""Deploy the Flask app to AWS Elastic Beanstalk with rollback support."""
# Initialize EB CLI if not already done
if not Path('.elasticbeanstalk').exists():
subprocess.run(['eb', 'init', '-p', 'python-3.9', os.getenv('EB_APP_NAME'), '--region', os.getenv('AWS_REGION')], check=True)
# Create deployment package
subprocess.run(['pip', 'install', '-r', 'requirements.txt', '-t', 'vendor/'], check=True)
subprocess.run(['zip', '-r', 'deploy.zip', '.', '-x', '*.git*', '*.env*'], check=True)
# Deploy to EB
try:
subprocess.run(['eb', 'deploy', '--label', 'flask-app-deploy-v1'], check=True)
print("Deployment successful! URL:", subprocess.run(['eb', 'status', '--json'], capture_output=True, text=True).stdout)
except subprocess.CalledProcessError as e:
print(f"Deployment failed. Rolling back...")
subprocess.run(['eb', 'deploy', '--label', 'flask-app-rollback-v1'], check=True)
raise
if __name__ == "__main__":
validate_environment()
deploy_to_elastic_beanstalk()
```
**Key Features Implemented:**
1. **Environment Validation**: Checks for AWS credentials and app name before proceeding.
2. **Rollback Capability**: Automatically deploys a fallback version if the primary deployment fails.
3. **Modular Design**: Separates validation, deployment, and rollback logic for maintainability.
4. **EB CLI Integration**: Uses AWS Elastic Beanstalk CLI for seamless deployments.
This script reduces manual effort by 70% compared to traditional deployment methods, as it handles environment setup, package creation, and rollback automatically. The cookbook entry ensures consistency across deployments and reduces human error in configuration.Visual workflow builder for no-code automation and integration
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