139 boosters for "python" — open source, verified from GitHub, ready to install
Pyflix provides Copilot instructions for developers working on a Python torrent streaming library, enabling AI-assisted development with context on the project's architecture, dependencies, and code structure.
A Cursor IDE rule set that enforces markdown linting standards to keep documentation consistent and error-free. Useful for teams maintaining specs, READMEs, and other markdown-based project documentation.
dlisio enables Claude to read, parse, and extract data from DLIS/LIS well log files—critical formats in oil & gas and geoscience workflows. Essential for petrophysicists, geoscientists, and data engineers working with wireline logs.
Enables Claude to compute surface wave dispersion curves for layered Earth models using the Thomson-Haskell matrix method, essential for seismic wave analysis and geophysical inversion workflows. Geophysicists and seismologists benefit from automated dispersion modeling for tomography and Earth structure studies.
ObsPy booster enables seismic data processing, waveform analysis, and earthquake research by providing access to read multiple seismic formats, fetch FDSN data, and perform signal processing tasks. Geoscientists, seismologists, and geophysics researchers benefit from streamlined earthquake data workflows.
bruges enables Claude to perform advanced geophysical calculations including AVO responses, fluid substitution, wavelet generation, and rock physics modeling—essential for seismic analysis and exploration workflows.
Cursor rules for managing VST3 & AU plugins within the Spotify Pedalboard Python library, enabling developers to integrate audio plugin scanning with crash recovery and SQLite storage. Useful for audio engineers and Python developers building plugin-based audio applications.
mtpy enables geophysicists to process and model magnetotelluric data by reading EDI files, analyzing impedance tensors, and performing inversions for subsurface resistivity mapping. Essential for electromagnetic geophysics researchers and exploration professionals.
GPRPy enables Claude to process and visualize ground-penetrating radar data through signal processing, velocity analysis, and depth conversion—essential for geophysicists, archaeologists, and civil engineers analyzing subsurface structures.
GemPy enables AI coding assistants to build 3D geological models with faults, folds, and unconformities from surface data, benefiting geoscientists, researchers, and engineers working on subsurface analysis and visualization.
Welly is a specialized toolkit for geoscientists to load, process, and analyze subsurface well log data from LAS files, enabling multi-well projects, curve processing, and cross-well analysis. It's essential for petroleum engineers, petrophysicists, and geoscientists working with well data.
Pooch enables reliable downloading, caching, and verification of geoscience datasets with automatic integrity checks and multi-source fallback support. Essential for researchers and developers working with large scientific data files who need reproducible, efficient data workflows.
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
This Cursor rule guides developers to use Bun as their primary JavaScript/TypeScript runtime instead of Node.js, npm, and common build tools. It benefits teams standardizing on Bun for faster development and simplified tooling.
A comprehensive set of development guidelines and reusable agents for building AI-powered Python applications in Windsurf using Mirascope, covering patterns for LLM integration, component structure, and best practices. Developers building intelligent agents and tools in Python will benefit from these standardized patterns and pre-built components.
A template repository for building MCP servers in Python using FastMCP, enabling developers to quickly scaffold and deploy code execution tools compatible with Claude and Cursor. Ideal for developers creating custom MCP servers who want a production-ready starting point.
Heuristic scoring (no AI key configured).
"name": "cre-skills", "description": "112 institutional-grade CRE skills covering ~97% of commercial real estate workflow steps. Deal screening, underwriting, structuring, due diligence, capital markets, market research, asset management, leasing, investor relations, development, disposition, sourci
"description": "Intellectual property data tools - async Python clients for USPTO, EPO, Google Patents, and JPO for AI agents", "name": "Parker Hancock", "url": "https://github.com/parkerhancock"
A Windsurf rules configuration for managing task-driven development workflows in hospital job platform projects, enabling developers to streamline task creation, breakdown, and tracking through CLI commands and standardized processes.
"name": "python-debugger-marketplace", "name": "Alon Wolenitz" "name": "python-debugger",
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
Wat2Do Copilot Instructions provide AI coding guidance for a Django/React web app that helps University of Waterloo students discover club events scraped from Instagram. Developers working on this codebase benefit from centralized, AI-friendly project context including architecture, tech stack, and setup commands.
"name": "brainlayer", "name": "Etan Heyman", "url": "https://github.com/EtanHey"
