按技能名称、说明或 GitHub 作者匹配的结果。
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...
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...
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparamet...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparamet...
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU...
Specialized skill for building production-ready Discord bots. Covers Discord.js (JavaScript) and Pycord (Python), gateway intents, slash commands, interactive components, rate limiting, and sharding.
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming m...
Interactive Python REPL automation with common helpers and best practices
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
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...
Apply production-ready Fireflies.ai SDK patterns for TypeScript and Python. Use when implementing Fireflies.ai integrations, refactoring SDK usage, or establishing team coding standards for Fireflies.ai. Trigge...
Apply production-ready Vast.ai SDK patterns for TypeScript and Python. Use when implementing Vast.ai integrations, refactoring SDK usage, or establishing team coding standards for Vast.ai. Trigger with phrases...
Apply production-ready Perplexity SDK patterns for TypeScript and Python. Use when implementing Perplexity integrations, refactoring SDK usage, or establishing team coding standards for Perplexity. Trigger with...
Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when asked to "cr...
Apply production-ready Deepgram SDK patterns for TypeScript and Python. Use when implementing Deepgram integrations, refactoring SDK usage, or establishing team coding standards for Deepgram. Trigger with phras...
Apply production-ready Groq SDK patterns for TypeScript and Python. Use when implementing Groq integrations, refactoring SDK usage, or establishing team coding standards for Groq. Trigger with phrases like "gro...
Apply production-ready Retell AI SDK patterns for TypeScript and Python. Use when implementing Retell AI integrations, refactoring SDK usage, or establishing team coding standards for Retell AI. Trigger with ph...
Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Use when building custom integrations, APIs, data sources, or any server that Claude should interact with via the...
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space...
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets...
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
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...
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。