langgraph plugins

by Jeremy Longshore

Claude Code skill pack for LangChain 1.0 + LangGraph 1.0 (Python) - 34 skills covering chains, agents, RAG, middleware, checkpointing, HITL, streaming, and production patterns

by Yonatan Gross

The Complete AI Development Toolkit — 107 skills, 36 agents, 171 hooks for full-stack development.

by Yonatan Gross

The Complete AI Development Toolkit — 107 skills, 36 agents, 171 hooks for full-stack development.

by Lauri Gates

LangChain JS/TS development - agents, chains, LangGraph workflows, and Deep Agents patterns

by Amazon Web Services

Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.

by Amazon Web Services

Migrate from GCP or Heroku to AWS — including your entire AI stack. Moves infrastructure (Cloud Run → Fargate, Heroku Dynos → Elastic Beanstalk by default with Fargate/EKS overrides, databases → RDS/Aurora), OpenAI/Gemini workloads to Amazon Bedrock, and agentic systems (LangChain, CrewAI, AutoGen, OpenAI Agents SDK) to AWS-native frameworks. Generates runnable Terraform, migration scripts, provider adapters, and deployment artifacts. Gives honest model-by-model pricing comparisons so you know exactly when Bedrock saves money and when it doesn't.

by Matt Corbett

AI agent-engineering team — agents (agentic-systems-architect, agent-implementation-engineer) for BUILDING production agentic systems: hard TRIAGE (most tasks win as a fixed workflow or a single LLM call, not an agent), single-vs-multi-agent topology, framework selection (LangGraph / OpenAI Agents SDK / CrewAI / AutoGen / Claude Agent SDK), tool & function design, context/memory/state management, planning & reflection loops, human-in-the-loop, guardrails, cost/latency budgets, tracing/observability, and agent EVALS (trajectory, tool-use, task-completion). skills, a knowledge bank, and templates. Engineering judgment, not a demo; the framework/model/API landscape is volatile — every version carries a retrieval date + [verify-at-use]. Distinct from ai-rag-engineering (retrieval), prompt-engineering (single-call prompt craft), llm-evaluation-engineering (general eval harnesses), and claude-app-engineering (Claude product apps). Needs ravenclaude-core.

by duyet

A single skill that builds AI-agent applications end-to-end — interview or detect the stack, then scaffold UI/UX, agent APIs, tools, tracking and gateways across 13+ agent frameworks including LangGraph, the Vercel AI SDK, the OpenAI and Claude Agent SDKs, Google ADK, Mastra, Pydantic AI, and more — always verifying against live docs before writing code.

by Stackbone

Agent skills for Stackbone: the platform for building and hosting durable AI agents. Creators author a workspace of deep agents (deepagents/LangGraph, served over the standard OpenAI/Anthropic chat endpoints) and durable workflows; organizations install them as agents that run in their own cloud with Postgres (Drizzle), object storage, durable execution (Redis), a human-in-the-loop inbox and an LLM gateway (OpenRouter). This plugin gives coding agents the full Stackbone surface: @stackbone/sdk (the ambient stackbone client — database, storage, AI, RAG, approval, prompts, secrets, config, plus stackbone.connection(id)), @stackbone/sdk/deep (defineDeepAgent + connectorTool + tool-level HITL), @stackbone/sdk/workflow (durable workflows + callDeepAgent + requestApproval), @stackbone/sdk/connect (Stackbone Connect), the CLI for scaffolding, publishing, workflows, runs and HITL, and diagnostics for runs, logs, HITL and connectors.

by Carlos Araujo

Versao nao-tecnica da grillme-langgraph: entrevista de negocio e entrega o mesmo artefato tecnico LangGraph em markdown.

by Carlos Araujo

Entrevista técnica que primeiro decide se LangGraph é necessário e, quando for, desenha o fluxo com State CRUE e fronteiras determinísticas.

by Carlos Araujo

Planeja e revisa arquiteturas LangGraph com dois agentes isolados topo de linha: Architect e Reviewer.

by Carlos Araujo

Prompt Engineering, engenharia e auditoria de evals agenticos LangSmith-first: prompts, datasets, evaluators, experiments, backtests e gates de promocao.