langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
Best use case
langgraph-hitl is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
Teams using langgraph-hitl should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/langgraph-hitl/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How langgraph-hitl Compares
| Feature / Agent | langgraph-hitl | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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)
Related Skills
langgraph-subgraph
Subgraph composition and modular workflow design for LangGraph
langgraph-state-graph
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.