ml-deployment
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
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Deploy ML models to production - APIs, containerization, monitoring, and MLOps
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
Comprehensive guide for skill assessment, career evaluation, learning paths, knowledge testing, and professional development. Use when assessing technical skills, planning learning journeys, or evaluating caree...
Master plugin performance optimization, best practices, and marketplace readiness. Learn to optimize for speed, efficiency, and user satisfaction.
Master writing plugins including agent implementation, skill creation, command development, and hook scripting. Learn best practices for plugin coding.
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
Implement agent memory - short-term, long-term, semantic storage, and retrieval
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
"Domain vocabulary and entity relationships for {project}. Ensures consistent terminology and model understanding."
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Invoke external AI CLIs via native Task agents (Claude, Codex, Gemini, Cursor). Primary mode for multi-provider orchestration with fork-terminal fallback for auth.
交互式生成 GitHub Copilot agents.md 文件的工作流。当用户请求创建代理、构建自定义 Copilot 代理、生成 agents.md 或需要帮助配置 GitHub Copilot 自定义代理时使用。触发短语包括"创建代理"、"生成 agent.md"、"做一个文档...
Framework for building AI agents that work effectively across multiple context windows on complex, long-running tasks. Use when building agents for multi-hour/multi-day projects, implementing persistent coding...
Extract and display the final message from a Claude agent JSONL file. Use when the user wants to see an agent report, view agent output, extract agent results, check what an agent produced, or read the final re...
Guide for creating multi-phase skills with orchestrated sequential execution. Use when user wants to create a skill that runs multiple steps in sequence (like gap-finder), needs a start-* orchestrator pattern,...
Generate structured skill specifications for independent skill creators. Use when asked to ideate, brainstorm, or specify multiple skills for a domain, workflow, or problem space. Outputs self-contained specs w...
Respond with different character personalities (pirate, butler, professor) when the user requests character-style responses. Use when the user says phrases like "talk like a pirate", "respond as a butler", "exp...
Add MCP servers to Claude Code configuration at user level (~/.claude). Supports stdio, HTTP, and SSE transports with environment variable prompting. Use when "add mcp server", "install mcp", "configure mcp ser...
Generate custom GitHub Copilot agents (.agent.md files) for VS Code with proper YAML frontmatter, tools configuration, and handoff workflows. Use when "create copilot agent", "generate github copilot agent", "n...
Create new Claude Code agent skills. Automatically analyzes requirements and generates complete skill with proper structure, triggers, and tools. Use when you want to "create a skill", "build a new skill", "mak...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation feat...
Grades and improves CLAUDE.md (Claude Code) and AGENTS.md (Codex/OpenCode) configuration files. Use when asked to grade, score, evaluate, audit, review, improve, fix, optimize, or refactor agent config files. T...
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.