Loading...
Loading...
Found 1,861 Skills
Analyze Python code for style improvements including naming, structure, nesting, and cognitive load reduction
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
Write, fix, and standardize Python docstrings in Google style. Use whenever the user asks to add or improve docstrings, convert mixed docstrings to Google format, add missing Args/Returns/Raises/Attributes/Example sections, or make docstrings concise and API-focused.
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Guides the agent through running and writing Python tests with pytest. Triggered when users say "run tests", "write a test", "test this function", "add unit tests", "run pytest", "check test coverage", "debug failing test", "create test fixtures", "mock a dependency", or mention pytest, pytest-asyncio, pytest-cov, testing, unit tests, integration tests, test coverage, or test-driven development.
Expert in FastAPI Python development with best practices for APIs and async operations
Distributed task queue system for Python enabling asynchronous execution of background jobs, scheduled tasks, and workflows across multiple workers with Django, Flask, and FastAPI integration.
Flask - Lightweight Python web framework for microservices, REST APIs, and flexible web applications with extensive extension ecosystem
DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.