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Categories: Development

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env-finder

opendatahub-io

Investigate environment variables that can be set when building Python wheels for a given project. Analyzes setup.py, CMake files, and other build configuration files to discover customizable build environment...

GitHub

pytidb

pingcap

PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and...

GitHub

flask

bobmatnyc

Flask - Lightweight Python web framework for microservices, REST APIs, and flexible web applications with extensive extension ecosystem

GitHub

homebrew-formula-maintenance

bobmatnyc

Homebrew formula maintenance workflows for Python CLIs and taps, including version bumps, SHA/resource updates, testing, audits, and releases.

GitHub

mypy

bobmatnyc

mypy - Static type checker for Python with gradual typing, strict mode, Protocol support, and framework integration

GitHub

sqlalchemy-orm

bobmatnyc

SQLAlchemy Python SQL toolkit and ORM with powerful query builder, relationship mapping, and database migrations via Alembic

GitHub

pydantic

bobmatnyc

Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.

GitHub

celery

bobmatnyc

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.

GitHub

pytest

bobmatnyc

pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask

GitHub

testing-anti-patterns

bobmatnyc

Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.

GitHub

mcp

bobmatnyc

MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.

GitHub

asyncio

bobmatnyc

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

GitHub

m4-api

hannesill

Use the M4 Python API to query clinical datasets (MIMIC-IV, eICU) programmatically. Triggers on "M4 API", "query MIMIC with Python", "clinical data analysis", "EHR data", "execute SQL on MIMIC", or when writing...

GitHub

panel-dashboards

uw-ssec

Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and...

GitHub

code-quality-tools

uw-ssec

Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Use when setting up linting, formatting, type checking, or automated quality gates. Ideal for enforcing co...

GitHub

python-testing

uw-ssec

Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numeric...

GitHub

pixi-package-manager

uw-ssec

Manage scientific Python dependencies and environments using pixi package manager with unified conda-forge and PyPI support. Use when setting up project environments, managing dependencies, creating reproducibl...

GitHub

python-packaging

uw-ssec

Create and publish distributable scientific Python packages following Scientific Python community best practices with pyproject.toml, src layout, and Hatchling. Use when building Python libraries, publishing to...

GitHub

scientific-documentation

uw-ssec

This skill should be used when the user asks to "set up documentation", "create docs for Python package", "configure Sphinx", "set up MkDocs", "write docstrings", "use NumPy-style docstrings", "set up Read the...

GitHub

data-analysis

supercent-io

Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pa...

GitHub

automating-mac-apps

SpillwaveSolutions

Automates macOS apps via Apple Events using AppleScript (discovery), JXA (legacy), and PyXA (modern Python). Use when asked to "automate Mac apps", "write AppleScript", "JXA scripting", "osascript automation",...

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