Curated output styles for Claude Code to streamline coding tasks. Developers and operations teams benefit from consistent, formatted code outputs. Integrates with IDEs and CLI tools for efficient workflows.
git clone https://github.com/hesreallyhim/awesome-claude-code-output-styles-that-i-really-like.gitOutput styles are a feature in Claude Code that allows you to override the default system prompt and transform how the AI assistant responds to your requests while maintaining core capabilities like file manipulation and script execution. You can activate pre-built styles such as technical-evangelist or tabloid-journalist using the /output-style command, instantly switching Claude into a specialized mode that reshapes its communication style and expertise focus. The feature supports creating custom output styles by writing markdown files in the .claude/output-styles/ directory, enabling you to design an AI coding partner tailored to your exact requirements. Output styles persist across sessions and can be switched mid-conversation, making Claude Code adaptable to different development workflows and team preferences without sacrificing technical accuracy.
["Copy the prompt template and replace [LANGUAGE], [TASK], [STYLE_GUIDE], and other placeholders with your specific needs","For IDE integration: Save the output directly to your project directory or use 'Claude Code' to write files automatically","For CLI workflows: Pipe the output to a file using '> output.py' or similar redirection","Customize the test case to match your actual requirements before execution","Use the style guide consistently across your team by sharing the output format as a team standard"]
Switch Claude's communication style mid-session for different coding contexts
Create custom output styles to match team preferences and workflows
Adapt Claude's responses for specific roles like code reviewers or documentation experts
Maintain consistent formatted outputs across different development tasks
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/hesreallyhim/awesome-claude-code-output-styles-that-i-really-likeCopy 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.
Generate a [LANGUAGE] code snippet for [TASK] using [STYLE_GUIDE] conventions. Format the output as a complete, executable file with clear comments and error handling. Include [TEST_CASE] to validate functionality. Example styles: 'Google Python Style', 'Rust API Boilerplate', 'Terraform Module'.
```python
# File: payment_processor.py
# Description: Handles Stripe payment webhook processing with idempotency
# Style Guide: Google Python Style
# Test Case: Verify successful charge creation with mock webhook payload
import os
import logging
from typing import Dict, Optional
from stripe import Webhook
from flask import Flask, request, jsonify
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class PaymentProcessor:
"""Processes Stripe webhook events with idempotency checks."""
def __init__(self, stripe_webhook_secret: str):
self.webhook = Webhook(stripe_webhook_secret)
self.processed_events = set()
def handle_webhook(self, payload: Dict, signature: str) -> Optional[Dict]:
"""Validates and processes Stripe webhook events.
Args:
payload: Raw webhook payload from Stripe
signature: HMAC signature for verification
Returns:
Dict: Processed event data or None if invalid
"""
try:
event = self.webhook.construct_event(
payload, signature, os.getenv("STRIPE_WEBHOOK_SECRET")
)
if event["id"] in self.processed_events:
logger.info(f"Duplicate event {event['id']} ignored")
return None
self.processed_events.add(event["id"])
logger.info(f"Processing event {event['id']} of type {event['type']}")
# Business logic would go here
processed_data = {
"event_id": event["id"],
"event_type": event["type"],
"amount": event.get("data", {}).get("object", {}).get("amount")
}
return processed_data
except ValueError as e:
logger.error(f"Invalid payload: {e}")
return None
except Exception as e:
logger.error(f"Webhook processing failed: {e}")
raise
# Test Case Execution
if __name__ == "__main__":
processor = PaymentProcessor("whsec_test_secret")
mock_payload = {
"id": "evt_123",
"type": "payment_intent.succeeded",
"data": {"object": {"amount": 2000, "currency": "usd"}}
}
result = processor.handle_webhook(mock_payload, "valid_signature")
assert result["event_type"] == "payment_intent.succeeded"
print("Test passed: Webhook processed successfully")
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