Python Skills

Skills specifically for Python development. Whether you're building a Django app, a FastAPI service, or a data pipeline, these skills help Claude write idiomatic Python that follows your project's conventions.

63 skills

python-executor

inferen-sh/skills

12.4k

173

python-sdk

inferen-sh/skills

12.3k

173

python-performance-optimization

wshobson/agents

11.8k

31.9k

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python-testing-patterns

wshobson/agents

9.5k

31.9k

Python-testing-patterns enables developers to implement comprehensive testing strategies using pytest, fixtures, mocking, and test-driven development practices for Python codebases. It provides guidance on unit tests, integration tests, test structure, coverage measurement, and test isolation to help engineers write robust test suites and maintain code quality. The skill addresses the problem of setting up effective testing infrastructure and following testing best practices across different test types and scenarios.

fastapi-templates

wshobson/agents

8.6k

31.9k

The fastapi-templates skill provides production-ready project structures and patterns for building FastAPI applications with async operations, dependency injection, and comprehensive error handling. It's designed for developers creating new REST APIs, microservices, or high-performance web services in Python. The skill solves the problem of establishing proper project organization, implementing async/await patterns correctly, and following best practices for scalable backend development.

python-mcp-server-generator

github/awesome-copilot

7.6k

26.4k

The python-mcp-server-generator skill generates a complete Model Context Protocol (MCP) server project in Python, including proper project structure, tools with type hints, resources, prompts, and error handling using the FastMCP framework. It's designed for developers who need to create MCP servers quickly, supporting both stdio (local) and HTTP (remote) transport types with configuration options for deployment scenarios. The skill solves the problem of setting up boilerplate MCP server infrastructure by providing a template-based approach with best practices for tool implementation, code organization, and testing.

dataverse-python-production-code

github/awesome-copilot

7.5k

26.4k

The dataverse-python-production-code skill generates production-ready Python code for interacting with Microsoft Dataverse using the PowerPlatform SDK, incorporating comprehensive error handling, retry logic, singleton connection management, and OData query optimization. It targets Python developers building applications on Microsoft Power Platform who need boilerplate code that follows Microsoft best practices, reducing development time while ensuring reliability through proper logging, type hints, and exponential backoff strategies for handling transient failures.

pytest-coverage

github/awesome-copilot

7.4k

26.4k

The pytest-coverage skill runs pytest with coverage analysis to identify untested code lines and helps developers achieve 100% test coverage. It generates annotated source files marking uncovered lines with exclamation marks, allowing developers to systematically write tests for missing coverage. This skill is for Python developers who want to ensure their test suites comprehensively cover all code paths.

dataverse-python-advanced-patterns

github/awesome-copilot

7.3k

26.4k

Dataverse-python-advanced-patterns enables developers to generate production-ready Python code for Microsoft Dataverse SDK operations using sophisticated patterns including error handling with exponential backoff, batch processing, OData query optimization, metadata management, and file operations. The skill targets Python developers building enterprise applications on Dataverse who need to implement resilient, performant code with proper type hints, caching strategies, and pandas integration. It solves the problem of translating complex Dataverse SDK capabilities into reliable, optimized code patterns suitable for production environments.

bigquery-pipeline-audit

github/awesome-copilot

7.2k

26.4k

The bigquery-pipeline-audit skill audits Python and BigQuery pipeline scripts to identify cost overruns, unsafe reruns, and production readiness issues, returning a structured report with exact patch locations and remediation guidance. It targets data engineers and pipeline maintainers by detecting runaway costs before billing, ensuring idempotency to prevent data corruption on rerun, and enforcing dry-run modes and proper environment controls. The skill catches common failures like unbound loops executing queries per date or entity, missing cost caps on BigQuery jobs, and partition pruning violations that cause expensive full-table scans.

dataverse-python-usecase-builder

github/awesome-copilot

7.2k

26.4k

The dataverse-python-usecase-builder skill generates complete, production-ready Python solutions for specific Microsoft Dataverse SDK use cases by analyzing business requirements, designing optimal data models and table structures, and recommending architectural patterns. It is designed for developers and solution architects building on the Power Platform who need to quickly implement Dataverse integrations with proper error handling, logging, and performance optimization. The skill solves the problem of translating business needs into well-architected implementations by systematically analyzing requirements, selecting appropriate design patterns (transactional, batch processing, query, file management, scheduled jobs, or real-time integration), and providing fully documented code with best practices.

dataverse-python-quickstart

github/awesome-copilot

7.2k

26.4k

The dataverse-python-quickstart skill generates ready-to-use Python code snippets for developers working with Microsoft Dataverse, covering SDK installation, client authentication, CRUD operations, bulk data manipulation, pagination, and file uploads following official Microsoft patterns. It solves the problem of quickly bootstrapping Dataverse Python integration by providing verified, pattern-aligned examples that reduce setup time and implementation errors. The skill targets Python developers building applications that interact with Microsoft Dataverse databases.

ai-rag-pipeline

inferen-sh/skills

6.3k

173

AI-rag-pipeline enables developers to build retrieval augmented generation (RAG) systems that combine web search tools (Tavily, Exa) with large language models (Claude, GPT-4, Gemini) to generate accurate, sourced responses. It solves the problem of AI hallucinations and outdated information by grounding LLM outputs in real-time retrieved data. The skill is designed for developers building AI agents, research assistants, fact-checkers, and knowledge retrieval systems.

ai-content-pipeline

inferen-sh/skills

6.3k

173

The ai-content-pipeline skill enables users to build automated multi-step content creation workflows that combine image generation (FLUX), video animation (Veo), text-to-speech (Kokoro TTS), and avatar generation (OmniHuman) through the inference.sh CLI. It serves content creators, marketers, and automation engineers who need to produce YouTube videos, social media content, and marketing materials at scale by chaining together AI tools into reusable pipeline patterns. The skill solves the problem of manually orchestrating multiple AI services for complex content production by providing pre-built workflows and examples that handle image-to-video-to-audio pipelines, script-to-avatar generation, and research-to-distribution automation.

async-python-patterns

wshobson/agents

5.9k

31.9k

The async-python-patterns skill provides comprehensive guidance for implementing asynchronous Python applications using asyncio and async/await patterns for high-performance, non-blocking systems. It serves developers building async web APIs, concurrent systems, and I/O-bound applications who need to understand when and how to use asyncio versus synchronous or multiprocessing approaches. The skill solves the problem of designing and implementing efficient concurrent Python applications by teaching core async concepts, decision frameworks for choosing async over alternatives, and practical code patterns for common use cases.

python-design-patterns

wshobson/agents

5.2k

31.9k

deployment-pipeline-design

wshobson/agents

31.9k

python-packaging

wshobson/agents

31.9k

python-code-style

wshobson/agents

3.8k

31.9k

fastapi-python

mindrally/skills

3.8k

The fastapi-python skill provides expert guidance in building production-ready APIs using FastAPI and Python, with emphasis on async operations, type safety with Pydantic models, and modular code architecture. It serves backend developers and API engineers who need to implement performant, well-structured REST APIs following best practices for error handling, dependency injection, and code organization. This skill solves the problem of ensuring consistent, maintainable FastAPI codebases by establishing clear standards for functional programming patterns, async/await usage, validation strategies, and performance optimization techniques.

python-project-structure

wshobson/agents

3.6k

31.9k

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FAQ

Does Claude Code support Python development?

Yes — Python skills teach Claude Python-specific patterns, from web frameworks like Django and FastAPI to tooling like pytest and mypy. Install the skills relevant to your stack.

Related categories

Data Science & ML86 Backend & APIs279 Testing & QA159