Skills correspondant au nom, à la description ou à l’auteur GitHub.
Guidance for converting COBOL programs to modern languages (Python, Java, etc.) while preserving exact behavior and data format compatibility. This skill should be used when modernizing legacy COBOL application...
Guidance for creating polyglot files that are valid in both Python and C. This skill applies when tasked with writing code that must be parseable and executable by both the Python interpreter and C compiler. Co...
Guidance for converting R-Stan (RStan) code to Python-Stan (PyStan). This skill applies when translating Stan models and inference code from R to Python, including API mapping between RStan and PyStan 3.x, hype...
Guide for optimizing Python numerical computations with C extensions. This skill should be used when tasks involve creating C extensions for Python, implementing mathematical algorithms (matrix operations, line...
Guidance for implementing asyncio task cancellation with proper cleanup, especially for handling keyboard interrupts (Ctrl+C). This skill should be used when tasks involve asyncio cancellation, signal handling,...
Guidance for building gRPC-based key-value store services in Python. This skill should be used when tasks involve creating gRPC servers, defining protocol buffer schemas, or implementing key-value storage APIs...
Guidance for implementing CLI tools that perform inference using PyTorch models in native languages (C/C++/Rust). This skill should be used when tasks involve extracting weights from PyTorch .pth files, impleme...
Guidance for building and installing Cython extension packages, particularly when resolving compatibility issues with modern Python and NumPy versions. This skill applies when installing legacy Cython packages,...
This skill provides guidance for translating COBOL programs to modern languages (Python, Java, etc.) while preserving exact behavior. It should be used when tasks involve COBOL-to-modern-language migration, leg...
Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTor...
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SI...
Guidance for modernizing legacy Python 2 scientific computing code to Python 3. This skill should be used when tasks involve converting outdated scientific Python scripts (using deprecated libraries like Config...
Guide for setting up local PyPI servers to host and serve Python packages. This skill should be used when tasks involve creating a local PyPI repository, serving Python packages over HTTP, building distributabl...
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...
Guide for implementing gRPC-based key-value store services in Python. This skill should be used when building gRPC servers with protobuf definitions, implementing KV store operations (Get, Set, Delete), or trou...
This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python...
Guide for modernizing legacy Python 2 scientific computing code to Python 3 with modern libraries. This skill should be used when migrating scientific scripts involving data processing, numerical computation, o...
Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations,...
This skill provides guidance for translating RStan (R-based Stan interface) code to PyStan (Python-based Stan interface). It should be used when converting Stan models from R to Python, migrating Bayesian infer...
Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate...
Validate test effectiveness with mutation testing using Stryker (TypeScript/JavaScript) and mutmut (Python). Find weak tests that pass despite code mutations. Use to improve test quality.
HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Test REST APIs, GraphQL, request/response validation, authentication, and error handling.
Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, mid...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.