How do I install the Langchain Stack skill?

Run npx skillmds@latest add tomevault-io/langchain-stack in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Langchain Stack safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Langchain Stack?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Langchain Stack free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Langchain Stack?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Langchain Stack by tomevault-io — Agent Skill

Name: Langchain Stack
Author: tomevault-io

File contents

LangChain / LangGraph / Deep Agents — Skill Router

Do NOT load all sub-skills. Read ONLY the file(s) relevant to the current task.

Step 1: Pick framework

If unsure which framework to use, read framework-selection first: → ~/.skills-library/langchain/framework-selection/SKILL.md (163 lines)

Step 2: Load the relevant sub-skill(s)

LangChain (simple agents, tool calling)

When	Read
Creating agents, defining tools, basic agent loop	`~/.skills-library/langchain/langchain-fundamentals/SKILL.md` (394 lines)
Human-in-the-loop approval, custom middleware, structured output	`~/.skills-library/langchain/langchain-middleware/SKILL.md` (388 lines)
RAG: document loaders, splitters, embeddings, vector stores	`~/.skills-library/langchain/langchain-rag/SKILL.md` (517 lines)
Package versions, installation, dependency management	`~/.skills-library/langchain/langchain-dependencies/SKILL.md` (419 lines)

LangGraph (stateful graphs, complex workflows)

When	Read
StateGraph, nodes, edges, Command, Send, streaming	`~/.skills-library/langchain/langgraph-fundamentals/SKILL.md` (811 lines)
interrupt(), approval workflows, error handling tiers	`~/.skills-library/langchain/langgraph-human-in-the-loop/SKILL.md` (532 lines)
Checkpointers, thread_id, time travel, Store, subgraph persistence	`~/.skills-library/langchain/langgraph-persistence/SKILL.md` (560 lines)

Deep Agents (hierarchical agent systems)

When	Read
create_deep_agent(), harness architecture, SKILL.md format	`~/.skills-library/langchain/deep-agents-core/SKILL.md` (423 lines)
SubAgentMiddleware, TodoList planning, HITL interrupts	`~/.skills-library/langchain/deep-agents-orchestration/SKILL.md` (471 lines)
StateBackend, StoreBackend, FilesystemMiddleware, CompositeBackend	`~/.skills-library/langchain/deep-agents-memory/SKILL.md` (301 lines)

~/.skills-library/langchain is a symlink to the langchain-skills submodule — don't hardcode the submodule path, use this alias so the skill stays portable if the submodule moves.

Rules

Read the sub-skill file with the Read tool — it contains full API reference and examples
For multi-concern tasks, read multiple files (e.g. langgraph-fundamentals + langgraph-persistence)
Never guess APIs from memory — always read the file first

Source: andres-ortizl/dotfiles — distributed by TomeVault.

---name: langchain-stackdescription: Router for LangChain, LangGraph, and Deep Agents skills. Load this ONCE — it tells you which sub-skill file to read for the specific task. Use when this capability is needed.---# LangChain / LangGraph / Deep Agents — Skill RouterDo NOT load all sub-skills. Read ONLY the file(s) relevant to the current task.## Step 1: Pick frameworkIf unsure which framework to use, read **framework-selection** first:→ `~/.skills-library/langchain/framework-selection/SKILL.md` (163 lines)## Step 2: Load the relevant sub-skill(s)### LangChain (simple agents, tool calling)| When | Read ||---|---|| Creating agents, defining tools, basic agent loop | `~/.skills-library/langchain/langchain-fundamentals/SKILL.md` (394 lines) || Human-in-the-loop approval, custom middleware, structured output | `~/.skills-library/langchain/langchain-middleware/SKILL.md` (388 lines) || RAG: document loaders, splitters, embeddings, vector stores | `~/.skills-library/langchain/langchain-rag/SKILL.md` (517 lines) || Package versions, installation, dependency management | `~/.skills-library/langchain/langchain-dependencies/SKILL.md` (419 lines) |### LangGraph (stateful graphs, complex workflows)| When | Read ||---|---|| StateGraph, nodes, edges, Command, Send, streaming | `~/.skills-library/langchain/langgraph-fundamentals/SKILL.md` (811 lines) || interrupt(), approval workflows, error handling tiers | `~/.skills-library/langchain/langgraph-human-in-the-loop/SKILL.md` (532 lines) || Checkpointers, thread_id, time travel, Store, subgraph persistence | `~/.skills-library/langchain/langgraph-persistence/SKILL.md` (560 lines) |### Deep Agents (hierarchical agent systems)| When | Read ||---|---|| create_deep_agent(), harness architecture, SKILL.md format | `~/.skills-library/langchain/deep-agents-core/SKILL.md` (423 lines) || SubAgentMiddleware, TodoList planning, HITL interrupts | `~/.skills-library/langchain/deep-agents-orchestration/SKILL.md` (471 lines) || StateBackend, StoreBackend, FilesystemMiddleware, CompositeBackend | `~/.skills-library/langchain/deep-agents-memory/SKILL.md` (301 lines) |`~/.skills-library/langchain` is a symlink to the `langchain-skills` submodule — don't hardcode the submodule path, use this alias so the skill stays portable if the submodule moves.## Rules- Read the sub-skill file with the Read tool — it contains full API reference and examples- For multi-concern tasks, read multiple files (e.g. langgraph-fundamentals + langgraph-persistence)- Never guess APIs from memory — always read the file first---> Source: [andres-ortizl/dotfiles](https://github.com/andres-ortizl/dotfiles) — distributed by [TomeVault](https://tomevault.io).

Frequently asked questions

Langchain Stack