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Résultats pour « Python »

Skills correspondant au nom, à la description ou à l’auteur GitHub.

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2,401–2,411 sur 2,411

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GitHub

pytest

BrunoAlan

Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).

GitHub

jwt-auth

Awais68

Use when implementing JWT authentication in FastAPI or Python projects. Triggers for: token generation, verification middleware, current user extraction, access token creation, token decoding, or role-based aut...

GitHub

python-core

aaronbassett

Comprehensive Python development expertise covering modern best practices, type hints, FastAPI web development, async/await, testing, and performance optimization. Use when working on Python projects requiring...

GitHub

neo4j-patterns

arthurfantaci

Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.

GitHub

mcp-builder

rafaelramosdf

Guia para criar servidores MCP (Model Context Protocol) de alta qualidade que permitem que LLMs interajam com serviços externos através de ferramentas bem projetadas. Use ao construir servidores MCP para integr...

GitHub

python-fastapi

fgarofalo56

Build high-performance Python APIs with FastAPI. Covers async endpoints, dependency injection, Pydantic validation, OpenAPI auto-generation, OAuth2/JWT authentication, and database integration. Use when buildin...

GitHub

universal-code-reviewer

sltc-dev

自动进化型 CR 专家。通过 Python 脚本实现确切的项目管理与双存储日志归档。它不仅指出通用错误,更致力于通过分析存量代码来维护项目的"潜规则"一致性。

GitHub

docker-hub-toolkit

alijilani-dev

Automate Python project Docker Hub deployments with optimized multi-stage builds, CI/CD pipelines, and security best practices. This skill should be used when users ask to containerize Python apps, build Docker...

GitHub

smolagents-tools

laurentvv

Création et modification des outils smolagents Python de ce projet. Utilise ce skill pour tout ce qui touche à agent/tools/, agent/main.py, agent/gradio_app.py, et les modèles LiteLLM/Ollama/Z.ai.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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