langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
npx skills add a5c-ai/babysitter --skill langgraph-hitl --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangGraph Human-in-the-Loop Skill ## 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 1. **Interrupt Before**: Pause before node execution 2. **Interrupt After**: Pause after node for review 3. **Conditional Interrupt**: Context-based pausing 4. **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)
- Capabilities
- Target Processes
- Implementation Details
- HITL Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the langgraph-hitl skill do?
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill langgraph-hitl --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 a5c-ai/babysitter, a repository with 1,642 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.