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実際に使われている Agent Skills
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 15,628
- リポジトリ
- 2528
- 最終同期
- 2026/10/12
hkudscli-anything-n8n
- Command-line interface for n8n workflow automation platform. Manages workflows, executions, credentials, variables, and tags. Based on n8n Public API v1.1.1 (n8n = 1.0.0).
- 導入数
- 6
- GitHub Stars
- 4.9万
- 更新日
- 8月21日
hkudscli-anything-pm2
- Command-line interface for PM2 - A stateless CLI for Node.js process management via the PM2 CLI. List, start, stop, restart processes, view logs, and manage system configuration.
- 導入数
- 6
- GitHub Stars
- 4.9万
- 更新日
- 8月21日
styleofagent-browser
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
- 導入数
- 6
- GitHub Stars
- 0
- 更新日
- 9月2日
styleofhappyhorse
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, vi
- 導入数
- 6
- GitHub Stars
- 0
- 更新日
- 9月2日
langchain-aideep-agents-core
INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aideep-agents-orchestration
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aideepagents-python-quickstart
Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aideepagents-typescript-quickstart
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aiecosystem-primer
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aieval-engineering
Inspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs, calibration, or continuous benchmark maintenance.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-dependencies
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-fundamentals
Create LangChain agents with createagent, define tools, and use middleware for human-in-the-loop and error handling.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-middleware
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-python-quickstart
Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-rag
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailangchain-typescript-quickstart
Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-cli
INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-decision-models
INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-fundamentals
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-human-in-the-loop
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-persistence
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, threadid, time travel, Store, and subgraph persistence modes.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-python-quickstart
Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-ailanggraph-typescript-quickstart
Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日
langchain-aimanaged-deep-agents
INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; definedeepagent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployments;
- 導入数
- 5
- GitHub Stars
- 1281
- 更新日
- 10月8日