Setup & Installation
openclaw skills install @trypto1019/arc-wake-state
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install arc-wake-state
What This Skill Does
Saves agent state to structured files so autonomous agents can resume work after context window resets or crashes. Provides a persistent task queue, named checkpoints, and crash detection based on heartbeat timestamps.
Structured state files and crash detection give agents a reliable handoff without requiring external databases or custom persistence code.
When to use it
- Resuming a multi-hour agent task after context window resets
- Detecting whether a previous session crashed or completed cleanly
- Creating a named checkpoint before running a risky database migration
- Maintaining a task queue that survives repeated agent restarts
- Rolling back agent state to a known-good checkpoint after a failed operation
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Resume the task you were working on before the context reset
AGENT
- 1Run crash-check to determine if the last session ended cleanly or crashed
- 2Run read to retrieve current status, notes, and key-value pairs
- 3Run tasks to list all pending items from the persistent queue
- 4Identify the last recorded status and continue from that point
- 5Call heartbeat on each subsequent loop iteration to enable future crash detection
OUTPUT
Agent identifies prior status as 'Building budget tracker skill', picks up pending tasks from the queue, and continues without manual re-briefing