Agent skill · AI & Agents

langchain-ecosystem

Complete guide for LangChain, LangGraph, and Deep Agents development. Covers framework selection, agents, tools, RAG, middleware, graphs, persistence, HITL, subagents, and memory. Triggers when code imports langchain/langgraph/deepagents, or user asks about building AI agents, RAG pipelines, stateful graphs, human-in-the-loop workflows, or agent orchestration.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill langchain-ecosystem --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-llm/langchain-ecosystem/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain Ecosystem Router ## Framework Selection Frameworks are **layered**, not competing: ``` ┌─────────────────────────────────────┐ │ Deep Agents │ ← planning, memory, skills, files ├─────────────────────────────────────┤ │ LangGraph │ ← graphs, loops, state, control flow ├─────────────────────────────────────┤ │ LangChain │ ← models, tools, prompts, RAG └─────────────────────────────────────┘ ``` **Decision tree (answer in order):** 1. Needs sub-tasks, file management, persistent memory, or on-demand skills? → **Deep Agents** 2. Needs complex control flow (loops, branching, parallel, human-in-the-loop)? → **LangGraph** 3. Single-purpose agent with fixed tools? → **LangChain** (`create_agent`) 4. Pure model call, chain, or retrieval pipeline? → **LangChain** (LCEL) | Capability | LangChain | LangGraph | Deep Agents | |---|-----------|-----------|-------------| | Control flow | Fixed tool loop | Custom graph | Middleware-managed | | Planning | ✗ | Manual | ✓ TodoListMiddleware | | File management | ✗ | Manual | ✓ FilesystemMiddleware | | Persistent memory | ✗ | With checkpointer | ✓ MemoryMiddleware | | Subagent delegation | ✗ | Manual | ✓ SubAgentMiddleware | | Human-in-the-

What's inside
Steps it walks through
  1. Framework Selection
  2. Quick Start (Most Common Patterns)
  3. Critical Rules (All Frameworks)
  4. Deep-Dive References
  5. LangChain
  6. LangGraph
  7. Deep Agents
  8. Meta
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the langchain-ecosystem skill do?

Complete guide for LangChain, LangGraph, and Deep Agents development. Covers framework selection, agents, tools, RAG, middleware, graphs, persistence, HITL, subagents, and memory. Triggers when code imports langchain/langgraph/deepagents, or user asks about building AI agents, RAG pipelines, stateful graphs, human-in-the-loop workflows, or agent orchestration.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill langchain-ecosystem --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going