Topic · Automation and Agents
AI Agent Builders skills for Claude Code and Codex
Skills that help an agent design, scaffold and ship other AI agents on a specific framework or platform: LangChain and LangGraph, Deep Agents, Genkit, VoltAgent, Cloudflare Agents SDK, AWS AgentCore and Microsoft Foundry. Most come from the framework's own team, so the agent writes code against the current API instead of last year's examples.
Highest-scoring AI agent builder skills in the October 22, 2026 snapshot: aws-agentic-ai from zxkane/aws-skills (83/100), langchain from Orchestra-Research/AI-Research-SKILLs (77/100) and swarmclaw from swarmclawai/swarmclaw (74/100). Scores come from the Suede Skill Check.
- 56 listed skills
- 13 repositories
- 5 with full pages
49 from official publishers. 4 bundle scripts. 4 connect to an outside service. Listed in AI Agents and LLM Engineering (49), Developer Tools and Frameworks (3), Writing and Editing (2), Data, Analytics and Databases (1), DevOps and Cloud (1).
All 56 AI agent builder skills
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| Skill | Repository | What it does |
|---|---|---|
| aws-agentic-ai 83/100 · B | zxkane/aws-skills | Guides deploying and managing AI agents on AWS Bedrock AgentCore, covering Gateway, Runtime, Memory, Identity, Observability, Evaluations, MCP tool integration, and governance workflows. |
| create-voltagent 68/100 · D | VoltAgent/skills | Guides creating AI agent projects with the VoltAgent framework, using either CLI setup or manual bootstrapping. |
| langchain 77/100 · C | Orchestra-Research/AI-Research-SKILLs | Guides building LLM-powered applications with LangChain, including agents, chains, RAG, tool calling, memory management, and vector store retrieval across multiple providers. |
| swarmclaw 74/100 · C | swarmclawai/swarmclaw | Teaches agents running on SwarmClaw how to use its 6 primitive tools, persistent memory, dreaming, delegation, connectors, credentials, and the skill system. |
| voltagent-docs-bundle 62/100 · D | VoltAgent/skills | Looks up VoltAgent documentation embedded in node_modules for version-matched API signatures, guides, and examples. |
| agent-advisor 82/100 · B | aws/agent-toolkit-for-aws | Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow… |
| agent-architecture 72/100 · C | github/awesome-copilot | Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only… |
| agent-development 86/100 · B | anthropics/claude-plugins-official | This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use… |
| agents-build 83/100 · B | aws/agent-toolkit-for-aws | Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or… |
| agents-connect 74/100 · C | aws/agent-toolkit-for-aws | Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway… |
| agents-debug 76/100 · C | aws/agent-toolkit-for-aws | Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root… |
| agents-get-started 87/100 · B | aws/agent-toolkit-for-aws | Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first… |
| agents-harden 74/100 · C | aws/agent-toolkit-for-aws | Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session… |
| agents-optimize 84/100 · B | aws/agent-toolkit-for-aws | Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost… |
| agents-sdk 69/100 · D | cloudflare/skills | Build, debug, or review Cloudflare Agents SDK applications using the agents package. |
| autogpt-agents 69/100 · D | Orchestra-Research/AI-Research-SKILLs | Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous… |
| composio 56/100 · D | composiohq/skills | Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK |
| copilot-sdk 69/100 · D | github/awesome-copilot | Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses… |
| create-agent 70/100 · C | NeoLabHQ/context-engineering-kit | Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official… |
| crewai-multi-agent 69/100 · D | Orchestra-Research/AI-Research-SKILLs | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex… |
| declarative-agents 69/100 · D | github/awesome-copilot | Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec… |
| deep-agents-core 77/100 · C | langchain-ai/langchain-skills | INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration… |
| deep-agents-memory 77/100 · C | langchain-ai/langchain-skills | INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent)… |
| deep-agents-orchestration 69/100 · D | langchain-ai/langchain-skills | INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL… |
| deepagents-python-quickstart 74/100 · C | langchain-ai/langchain-skills | Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the… |
| deepagents-typescript-quickstart 74/100 · C | langchain-ai/langchain-skills | Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when… |
| developing-genkit-dart 83/100 · B | google/skills | Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate… |
| developing-genkit-go 83/100 · B | google/skills | Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when… |
| developing-genkit-js 83/100 · B | google/skills | Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in… |
| developing-genkit-python 83/100 · B | google/skills | Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when… |
| evolving-ai-agents 69/100 · D | Orchestra-Research/AI-Research-SKILLs | Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building… |
| foundry-agent-sync 78/100 · C | github/awesome-copilot | Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills… |
| foundry-hosted-agent-copilotkit 72/100 · C | github/awesome-copilot | Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted… |
| gemini-agents-api 80/100 · B | google/skills | Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or… |
| google-agents-cli-onboarding 83/100 · B | google/skills | Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an… |
| google-cloud-solution-agentic-ai-bidirectional-streaming 87/100 · B | google/skills | Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of… |
| google-cloud-solution-agentic-ai-data-science-workflow 87/100 · B | google/skills | Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when… |
| google-cloud-solution-build-deploy-agents 87/100 · B | google/skills | Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a… |
| langchain-dependencies 77/100 · C | langchain-ai/langchain-skills | INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain… |
| langchain-fundamentals 67/100 · D | langchain-ai/langchain-skills | Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling. |
| langchain-middleware 77/100 · C | langchain-ai/langchain-skills | INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human… |
| langchain-python-quickstart 71/100 · C | langchain-ai/langchain-skills | 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… |
| langchain-rag 69/100 · D | langchain-ai/langchain-skills | INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings… |
| langchain-typescript-quickstart 71/100 · C | langchain-ai/langchain-skills | Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a… |
| langgraph-cli 69/100 · D | langchain-ai/langchain-skills | INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up… |
| langgraph-decision-models 72/100 · C | langchain-ai/langchain-skills | 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… |
| langgraph-fundamentals 80/100 · B | langchain-ai/langchain-skills | INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error… |
| langgraph-persistence 69/100 · D | langchain-ai/langchain-skills | INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer… |
| langgraph-python-quickstart 71/100 · C | langchain-ai/langchain-skills | 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… |
| langgraph-typescript-quickstart 71/100 · C | langchain-ai/langchain-skills | Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a… |
| managed-deep-agents 63/100 · D | langchain-ai/langchain-skills | INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end —… |
| mcp-create-declarative-agent 65/100 · D | github/awesome-copilot | Skill converted from mcp-create-declarative-agent.prompt.md |
| microsoft-agent-framework 72/100 · C | github/awesome-copilot | Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET… |
| nemotron-voice-agent-builder 82/100 · B | NVIDIA/skills | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time… |
| typespec-create-agent 64/100 · D | github/awesome-copilot | Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot |
| voltagent-best-practices 57/100 · D | VoltAgent/skills | VoltAgent architectural patterns and conventions. Covers agents vs workflows, project layout, memory, servers, and observability. |
How to choose AI agent builder skills
Pick the skill for the framework you already run. LangChain, Google Genkit, VoltAgent, Cloudflare and AWS each publish their own builder skills, and several ship a quickstart skill per language, so install the Python or TypeScript one that matches your project.
Platform skills such as AWS AgentCore, Gemini Enterprise Agent Platform and Microsoft Foundry act on a cloud account. Check the environment variables under Before you install and point them at a sandbox project before you let the agent deploy.
Architecture skills (agent-architecture, agent-advisor, the Google Cloud solution designers) produce a design before any code. Run one of those first when the framework is still undecided, then add the framework skill once you have chosen.
Related topics
Subagents and Multi-Agent Orchestration 40Python 32TypeScript and Node.js 18Google Cloud 146Agent Safety and Guardrails 27AWS 151Context Engineering and Agent Memory 31MCP Servers 82
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