Agent skill · Frontend

langchain-langgraph-human-in-loop

Build LangGraph 1.0 human-in-the-loop approval flows with `interrupt_before`\ \ /\n`interrupt_after` and `Command(resume=...)` \u2014 JSON-serializable state,\ \ clean\nresume semantics, and UI wiring for approval decisions. Use when adding\ \ an\napproval gate before an expensive tool call, wiring a Slack/web UI for agent\n\ approvals, or debugging a graph that crashes on interrupt.\nTrigger with \"langgraph\ \ human in loop\", \"langgraph interrupt_before\",\n\"langgraph approval flow\"\ , \"Command resume\", \"langgraph HITL\".\n"

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-langgraph-human-in-loop --agent claude-code

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

Facts
Files in the skill folder: 6
SKILL.md size: 16 KB
Bundled scripts: none
Version: 2.5.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(python:*)
Requires: Designed for Claude Code, also compatible with Codex
Path: skills/.curated/langchain-langgraph-human-in-loop/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

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

From the SKILL.md

# LangChain LangGraph Human-in-the-Loop (Python) ## Overview A team adds `interrupt_before=["send_email"]` to require a human approval before the email goes out. First integration test crashes at the interrupt boundary with: ``` TypeError: Object of type datetime is not JSON serializable ``` The culprit is two nodes upstream: a `classify` node stashed `"received_at": datetime.utcnow()` into state.

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About this skill
What does the langchain-langgraph-human-in-loop skill do?

Build LangGraph 1.0 human-in-the-loop approval flows with `interrupt_before`\ \ /\n`interrupt_after` and `Command(resume=...)` \u2014 JSON-serializable state,\ \ clean\nresume semantics, and UI wiring for approval decisions. Use when adding\ \ an\napproval gate before an expensive tool call, wiring a Slack/web UI for agent\n\ approvals, or debugging a graph that crashes on interrupt.\nTrigger with \"langgraph\ \ human in loop\", \"langgraph interrupt_before\",\n\"langgraph approval flow\"\ , \"Command resume\", \"langgraph HITL\".\n"

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-langgraph-human-in-loop --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.

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