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GitHub

programming

benchflow-ai

Python and R programming for data analysis, automation, and reproducible analytics

GitHub

seisbench-model-api

benchflow-ai

An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, f...

GitHub

python-regression-statistics

benchflow-ai

Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods,...

GitHub

python-project

benchflow-ai

Use when creating Python projects, managing dependencies with uv, configuring pyproject.toml, building packages, or publishing to PyPI - covers project initialization, dependency management, and distribution; N...

GitHub

python-packaging

benchflow-ai

Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.

GitHub

python-env

benchflow-ai

Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.

GitHub

python-scripting

benchflow-ai

Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.

GitHub

setup-to-pyproject

benchflow-ai

Migrate Python projects from setup.py/setup.cfg to pyproject.toml for use with uv. Use when upgrading legacy Python packaging, converting setup.py to modern pyproject.toml format, setting up dependency groups f...

GitHub

forge-lang-python

benchflow-ai

Python development standards including pytest, ruff, black, and mypy. Use when working with Python files, tests, or dependencies.

GitHub

pypi-server

benchflow-ai

Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package reposit...

GitHub

uv

benchflow-ai

This skill should be used when creating new Python projects or managing Python dependencies. IMPORTANT - uv must ALWAYS be used for any Python-related commands in Python projects (running scripts, installing pa...

GitHub

running-python

benchflow-ai

Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.

GitHub

numpy-ufuncs

benchflow-ai

Universal functions (ufuncs) for vectorization, including reductions, in-place operations, and custom Python-function wrapping. Triggers: ufunc, vectorize, reduce, accumulate, frompyfunc, in-place.

GitHub

python-coder

benchflow-ai

Modern Python 3.12+ development with uv, ruff, pydantic, FastAPI, async patterns, and production-ready practices.

GitHub

python-parallelization

benchflow-ai

Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identi...

GitHub

python-programming

benchflow-ai

Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering

GitHub

async-python-patterns

benchflow-ai

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking oper...

GitHub

scripting

benchflow-ai

DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management

GitHub

find-cpython-usage

DataDog

Find all CPython internal headers and structs used in the codebase, particularly for profiling functionality. Use this when adding support for a new Python version to identify what CPython internals we depend o...

GitHub

compare-cpython-versions

DataDog

Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.

GitHub

using-tmux

benchflow-ai

Control interactive CLI tools that require a real terminal via tmux send-keys. Use for git rebase -i, git add -p, vim, nano, Python/Node REPLs, or any command that hangs waiting for terminal input.

GitHub

asyncio

benchflow-ai

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

GitHub

python-async-patterns

benchflow-ai

Comprehensive guide to Python async/await patterns, best practices, and anti-patterns. Covers asyncio fundamentals, coroutines, async context managers, task management, common libraries (aiohttp, aiofiles, asyn...

GitHub

astral-uv

benchflow-ai

Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, r...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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