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affaan-m

Тестирование на Python - это стратегии тестирования, которые используют pytest, TDD и покрытие кода для обеспечения качества кода.

affaan-m

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

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)

corv89

Human-in-the-loop execution for LLM agents

dennislee928

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

ryanallen

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

ishkamiel

Локализованное описание: # Add or update a Python CLI subcommand Every CLI in src/pyishlib/ uses argparse subcommands — never flag-based dispatch. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

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.

krzemienski

Локализованное описание: Transform any GitHub awesome list into a sophisticated, interactive web dashboard with AI-powered enhancements, advanced search, and modern UI components. It covers awesome, awesome-list, awesome-lists workflows. This AI agent skill supports Claude Code, Cursor, and