domino-python-sdk
Programmatically interact with Domino using python-domino SDK and REST APIs. Covers authentication, running jobs, managing projects, file operations, model deployment, and automation. Use when automating Domino...
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Programmatically interact with Domino using python-domino SDK and REST APIs. Covers authentication, running jobs, managing projects, file operations, model deployment, and automation. Use when automating Domino...
Use the domino-data Python SDK (dominodatalab-data) for programmatic data access in Domino. Covers DataSourceClient for SQL queries and object storage, DatasetClient for dataset files, TrainingSets for ML data...
Use buzzllm CLI to perform web searches, execute Python code in Docker, search/analyze local codebases, or generate code change blocks. Trigger when user asks for web search, Python execution, code analysis, or...
Autonomous task execution with library discovery, 3-tier validation, and atomic git commits. Integrates with Shannon CLI Python modules for platform-specific execution. Invokes /shannon:wave for code generation...
Use when testing Claude Code plugins programmatically, building SDK applications, encountering plugin loading failures (plugins array empty), getting AttributeError on message.type, or needing verified Claude A...
Deploy Flask server to remote machine (185.96.221.52). Stops remote server, copies files via scp, restarts server, and verifies. Use when deploying Python server updates to remote Mac mini.
Stop local Flask server running on port 8080. Kills process cleanly using lsof or PID file. Use when stopping local Python development server.
Start Flask server locally for development. Runs server in foreground or background with nohup. Use when starting local Python server for testing or development.
Format and analyze Python code using ruff (formatting/linting) and ty (static type checking). Use when the user asks to format Python code, run linting, check types, fix code style issues, or analyze Python cod...
Implement native Rust ML inference with Candle framework. Use when building GPU-accelerated ML pipelines without Python dependencies.
Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patterns WHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + Documentation WHEN NOT: FastAPI → fastapi-revi...
WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimization WHAT: Vectorization patterns + Memory efficiency + Data validation + Performance optimization + Best practices WHEN NOT: Web f...
WHEN: Flask project review, Blueprint structure, extensions, request handling WHAT: Blueprint organization + Extension patterns + Request/response handling + Configuration + Testing WHEN NOT: FastAPI → fastapi-...
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks WHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimiza...
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security WHEN NOT: Django → django-reviewe...
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Expert in Python 3.10+ fundamentals and best practices for the Drift project including import ordering (isort), code organization, and PEP 8 conventions. Use when writing or reviewing Python code.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
Authoritative guidelines for writing production-grade ROS 2 (Humble) Python 3.11+ code (leveraging 3.12+ features where compatible) for Physical AI applications.
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585, 604, 612, 613), and type hint best practices for Python 3.9+. Use during code...
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.