正在浏览:

affaan-m

Python模式AI Agent Skill提供了Pythonic的惯用表达式、PEP 8标准、类型提示和最佳实践，用于构建强健、效率高、易于维护的Python应用程序

affaan-m

This AI agent skill provides comprehensive Python testing strategies using pytest, TDD methodology, and best practices, helping developers write robust and maintainable code.

udecode

Reviews Python code with an extremely high quality bar for Pythonic patterns, type safety, and maintainability. Use after implementing features, modifying code, or creating new Python modules.

pydantic

A minimal, secure Python interpreter written in Rust for use by AI

wyattowalsh

Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)

dennislee928

Simulations of the Ethical Riemann Hypothesis (ERH), which states that in a "healthy" moral judgment system, the error in predicting critical misjudgments gr...

corv89

Human-in-the-loop execution for LLM agents

ryanallen

an operations system for teams that orchestrates specialized AI agents through the design process

Tendo33

Use when implementing project tasks that need consistent coding standards, verification, and frontend stack defaults.

UndiFineD

SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

martinholovsky

Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant

narumiruna

Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.