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Provides AWS Lambda integration patterns for Python with cold start optimization.
Passed 21 of 24 test cases with the skill, and 15 of 24 without it.
and 6 more in the full report
6 fixed15 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a minimal serverless.yml provider and function section for a Python 3.12 HTTP API service using handler lambda_function.lambda_handler with proxy route routing.
| Checked | Without skill | With skill |
|---|---|---|
| The configuration specifies runtime python3.12 under the provider section. | Passed | Passed |
| The handler path is set to lambda_function.lambda_handler. | Passed | Passed |
| The HTTP event is configured with path /{proxy+}. | Missed | Passed |
The instructions your model reads when the skill loads.
Patterns for creating high-performance AWS Lambda functions in Python with optimized cold starts and clean architecture.
AWS Lambda Python integration with two approaches: AWS Chalice (full-featured framework) and Raw Python (minimal overhead). Both support API Gateway/ALB integration with production-ready configurations.
Use this skill when:
| Approach | Cold Start | Best For | Complexity |
|---|---|---|---|
| AWS Chalice | < 200ms | REST APIs, rapid development, built-in routing | Low |
| Raw Python | < 100ms | Simple handlers, maximum control, minimal dependencies | Low |
my-chalice-app/
├── app.py # Main application with routes
├── requirements.txt # Dependencies
├── .chalice/
│ ├── config.json # Chalice configuration
│ └── deploy/ # Deployment artifacts
├── chalicelib/ # Additional modules
│ ├── __init__.py
│ └── services.py
test cases passed, vs 15 / 24 without
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