Swarms Multi-Agent Framework
kyegomez/swarms
Teaches the Swarms Python framework: the Agent class, tools, loops, memory and multi-agent structures such as sequential, concurrent and graph workflows.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.
Install Langgraph Docs
$ npx skills add langchain-ai/docs --skill langgraph-docs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/docs langgraph-docs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .claude/skills/langgraph-docs && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .claude/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/docs --skill langgraph-docs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/docs langgraph-docs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .agents/skills/langgraph-docs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .agents/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill langgraph-docs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/docs langgraph-docs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .cursor/skills/langgraph-docs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .cursor/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/docs.git --path src/code-samples/deepagents/skills/langgraph-docs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/docs --skill langgraph-docs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/docs langgraph-docs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .gemini/skills/langgraph-docs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .gemini/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/docs langgraph-docsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/docs --skill langgraph-docs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .github/skills/langgraph-docs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .github/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill langgraph-docs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/docs langgraph-docs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/code-samples/deepagents/skills/langgraph-docs .opencode/skills/langgraph-docs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langgraph-docs" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/deepagents/skills/langgraph-docs into .opencode/skills/langgraph-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langgraph-docs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langgraph-docs- GitHub stars
- 425
- Token cost
- ~282 tokens
- SKILL.md length
- 93 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.
- Works in 3 steps: Fetch the Documentation Index → Select Relevant Documentation → Fetch and Apply
- The user asks about LangGraph
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Agent orchestration
What it does
Langgraph Docs is an agent skill from langchain-ai/docs, published by the product's own GitHub organization. Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Building AI agents and Multi-agent orchestration. It works with LangGraph and Python. The repository describes itself as: Unified LangChain documentation. The licence is MIT.
When your agent uses it
- The user asks about LangGraph
- Agent orchestration
- Needs LangGraph implementation guidance
Example prompts
- “Use the langgraph-docs skill to fetch and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and…”
- “/langgraph-docs”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit dcfc8b4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.langchain.comlangchain-ai.github.io
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Langgraph Docs loads about 282 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 93 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from langchain-ai/docs at commit dcfc8b4, republished under its MIT licence (© langchain-ai). 93 words, ~282 tokens.
Download SKILL.mdSave it as
.claude/skills/langgraph-docs/SKILL.md (or your agent's skills folder).- name
- langgraph-docs
- description
- Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
langgraph-docs
Workflow
1. Fetch the Documentation Index
Use fetch_url to read: https://docs.langchain.com/llms.txt
This returns a structured list of all available documentation with descriptions.
2. Select Relevant Documentation
Identify 2-4 most relevant URLs from the index. Prioritize:
- Implementation questions: specific how-to guides
- Conceptual questions: core concept pages
- End-to-end examples: tutorials
- API details: reference docs
3. Fetch and Apply
Use fetch_url on the selected URLs, then complete the user's request using the documentation content.
If fetch_url fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.
© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in src/code-samples/deepagents/skills/langgraph-docs of langchain-ai/docs.
Open the folder on GitHubat commit dcfc8b4
Compare with similar skills
Langgraph Docs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Langgraph Docs this skilllangchain-ai/docs | 425 | — | ~282 | Automated safety check: Pass | MIT | |
| Swarms Multi-Agent Frameworkkyegomez/swarms | 7.2k | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Cloudbase Agent PythonTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 2 repos | ~2.9k | Automated safety check: Notes | MIT | |
| Langgraph Human In The Looplangchain-ai/langchain-skills | 1.3k | 2 repos | ~4.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Langgraph Docs
What does Langgraph Docs do?
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Langgraph Docs is an agent skill from langchain-ai/docs, published by the product's own GitHub organization. Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.
When should I use Langgraph Docs?
Langgraph Docs fits situations like: the user asks about LangGraph; agent orchestration; needs LangGraph implementation guidance.
How do I install Langgraph Docs in Claude Code?
Run `npx skills add langchain-ai/docs --skill langgraph-docs -a claude-code`. Or copy the skill folder (src/code-samples/deepagents/skills/langgraph-docs in langchain-ai/docs) into .claude/skills/langgraph-docs in your project. Claude Code loads it when a task matches its description.
How do I install Langgraph Docs in Codex?
Run `npx skills add langchain-ai/docs --skill langgraph-docs -a codex`. Or copy the skill folder (src/code-samples/deepagents/skills/langgraph-docs in langchain-ai/docs) into .agents/skills/langgraph-docs in your project. Codex loads it when a task matches its description.
Can I use Langgraph Docs in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/docs --skill langgraph-docs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langgraph-docs, .gemini/skills/langgraph-docs, .github/skills/langgraph-docs and .opencode/skills/langgraph-docs in your project.
What does Langgraph Docs need to run?
SKILL.md names no scripts, command-line tools or credentials: Langgraph Docs is instructions for the agent only. Our summary lists: Python 3.
Does Langgraph Docs access the network?
SKILL.md names 2 domains. As links in the text: docs.langchain.com and langchain-ai.github.io. This is read from the text; nothing was executed.
Is Langgraph Docs safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Langgraph Docs use?
Langgraph Docs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Langgraph Docs use?
About 282 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Langgraph Docs?
Skills that share tags, products or a category with Langgraph Docs: Swarms Multi-Agent Framework (kyegomez/swarms, 7.2k stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars), Add Example Agent (GetBindu/Bindu, 10k stars) and Cloudbase Agent Python (TencentCloudBase/CloudBase-AI-Toolkit, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Langgraph Docs?
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/docs, which has 425 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: langchain-ai/docs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.