LangGraph Human-in-the-Loop Skill

SkillDev tools

Human-in-the-loop integration for LangGraph workflows with approval and intervention points

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LangGraph Human-in-the-Loop Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/langgraph-hitl/SKILL.md and read by ahel’s review.

Capabilities

Implement interrupt points in LangGraph workflows
Configure human approval gates
Design intervention interfaces
Handle workflow resumption after human input
Implement timeout and escalation logic
Create notification systems for pending approvals

Target Processes

langgraph-workflow-design
tool-safety-validation

Implementation Details

HITL Patterns

Interrupt Before: Pause before node execution
Interrupt After: Pause after node for review
Conditional Interrupt: Context-based pausing
Tool Call Approval: Review tool invocations

Configuration Options

Interrupt node selection
Approval timeout settings
Escalation paths
Notification channels
State modification permissions

Best Practices

Clear approval prompts
Reasonable timeout defaults
Proper escalation chains
Audit logging for approvals

Dependencies

langgraph
langgraph-checkpoint (for persistence)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: langgraph-hitl
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter