genkit-production-expert
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...
按技能名称、说明或 GitHub 作者匹配的结果。
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...
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server conf...
Deploy Python agents to AWS Bedrock AgentCore. Use when deploying agents to AWS, setting up serverless agent hosting, configuring AgentCore components (Runtime, Gateway, Memory, Identity, Policy), or troublesho...
Build Python TUI applications using the Textual framework. Use this skill when the user asks to create terminal user interfaces, CLI dashboards, TUI apps, or interactive terminal applications in Python. Generat...
Convert MCP (Model Context Protocol) servers to Claude Code Skills. Use when: (1) User wants to convert an MCP server project to a skill (2) User mentions "MCP to skill", "convert MCP", or "MCP 转 skill" (3) Us...
This skill should be used when users need to create, configure, or render Quarto documents (.qmd files). Use this skill for generating reports, analysis documents, or presentations with HTML or Typst output for...
Comprehensive guide for building production-grade AI-integrated backends with multi-provider support, intelligent fallback mechanisms, region configuration, prompt management with variables/tools, and session-b...
Toolkit for AI agents to debug Python code autonomously without IDE support. Use when agent needs to debug code, insert breakpoints programmatically, analyze execution state, test hypotheses, or automate debugg...
Guides TimeGPT lab environment setup including Python dependencies, API key configuration, smoke testing, experiment workflows, and optional CI/CD integration. Inspects environment docs and scripts to provide s...
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI)...
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...
Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or c...
Develop agentic software and multi-agent systems using Google ADK in Python
Master operator guide for Higgsfield AI video generation platform. Covers all 70+ camera presets, 23+ VFX effects, Soul ID character consistency, multi-model integration (Sora 2, Veo 3.1, WAN 2.5, Kling 2.6), P...
Expert guide for building command-line interfaces with Node.js (Commander, Inquirer, Ora) or Python (Click, Typer, Rich). Use when creating CLI tools, terminal UX, argument parsing, or interactive prompts.
Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat ada...
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...
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
DisCoPy categorical quantum NLP for string diagrams, monoidal categories, and compositional semantics in Python. Use when implementing compositional distributional semantics, building string diagram computation...
Working with Claude Code features, debugging hooks, MCP integration, snippet verification, headless automation, and Agent SDK. Use this skill when the user asks about Claude Code features, hooks, memory, status...
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...
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
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。