Skip to main content
Back to the directory
langchain-ai/langchain-skillsSoftware EngineeringFrontend and Design

langgraph-human-in-the-loop

Pause graph execution for human review, approval, or validation, then resume with their input.

SkillJury keeps community verdicts, source metadata, and external repository signals in separate lanes so ranking data never pretends to be a review.

SkillJury verdict
Pending

No approved reviews yet

Would recommend
Pending

Waiting on enough review volume

Install signal
5

Weekly or total install activity from catalog data

Sign in to review
0 review requests
Install command
npx skills add https://github.com/langchain-ai/langchain-skills --skill langgraph-human-in-the-loop
SkillJury does not have enough approved reviews to publish a community verdict yet. Source metadata and repository proof are still available above.
SkillJury Signal Summary

As of Apr 30, 2026, langgraph-human-in-the-loop has 5 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: langchain-ai/langchain-skills. Canonical URL: https://skills.sh/langchain-ai/langchain-skills/langgraph-human-in-the-loop.

Security audits
Gen Agent Trust HubPASS
SocketPASS
SnykPASS
About this skill
Pause graph execution for human review, approval, or validation, then resume with their input. Three things are required for interrupts to work: interrupt(value) pauses the graph. The value surfaces in the result under __interrupt__ . Command(resume=value) resumes — the resume value becomes the return value of interrupt() . Critical : when the graph resumes, the node restarts from the beginning — all code before interrupt() re-runs. class State(TypedDict): approved: bool def approval_node(state: State): # Pause and ask for approval approved = interrupt("Do you approve this action?") # When resumed, Command(resume=...) returns that value here return {"approved": approved} checkpointer = InMemorySaver() graph = ( StateGraph(State) .add_node("approval", approval_node) .add_edge(START, "approval") .add_edge("approval", END) .compile(checkpointer=checkpointer) ) config = {"configurable": {"thread_id": "thread-1"}} result = graph.invoke({"approved": False}, config) print(result[" interrupt "]) result = graph.invoke(Command(resume=True), config) print(result["approved"]) # True A common pattern: interrupt to show a draft, then route based on the human's decision. class EmailAgentState(TypedDict): email_content: str draft_response: str classification: dict def human_review(state: EmailAgentState) -> Command[Literal["send_reply", " end "]]: """Pause for human review using interrupt and...

Source description provided by the upstream listing. Community review signal and install context stay separate from this narrative layer.

Community reviews

Latest reviews

No community reviews yet. Be the first to review.

Browse this skill in context
FAQ
What does langgraph-human-in-the-loop do?

Pause graph execution for human review, approval, or validation, then resume with their input.

Is langgraph-human-in-the-loop good?

langgraph-human-in-the-loop does not have approved reviews yet, so SkillJury cannot publish a community verdict.

Which AI agents support langgraph-human-in-the-loop?

langgraph-human-in-the-loop currently lists compatibility with Skills CLI.

Is langgraph-human-in-the-loop safe to install?

langgraph-human-in-the-loop has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.

What are alternatives to langgraph-human-in-the-loop?

Skills in the same category include grimoire-morpho-blue, conversation-memory, second-brain-ingest, zai-tts.

How do I install langgraph-human-in-the-loop?

Run the following command to install langgraph-human-in-the-loop: npx skills add https://github.com/langchain-ai/langchain-skills --skill langgraph-human-in-the-loop

Related skills

More from langchain-ai/langchain-skills

Related skills

Alternatives in Software Engineering