oa-state-checkpoint

Manage agent state checkpoints for crash recovery and task resumption.

4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-state-checkpoint
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oa-state-checkpoint
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-state-checkpoint
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-state-checkpoint

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides essential crash recovery capabilities for long-running agents, allowing them to resume their tasks from where they left off, preventing data loss and wasted computation.

Core Features & Use Cases

  • Checkpoint Management: Inspect, list, and resume agents from saved checkpoints.
  • Crash Recovery: Automatically resume agents that have crashed mid-execution.
  • Use Case: If an agent tasked with processing a large dataset crashes halfway through, you can use this Skill to resume its work without starting from scratch, ensuring continuity and efficiency.

Quick Start

Use the oa-state-checkpoint skill to resume the agent named 'data-processor'.

Frequently Asked Questions about oa-state-checkpoint

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I resume an agent after a crash without losing its progress?

Agent crash recovery is achieved by loading the last saved checkpoint, allowing the process to resume its task from the exact point of failure. This prevents data loss and avoids restarting long-running computations from scratch.

What is state checkpointing for long-running agent processes?

State checkpointing is the mechanism of saving an agent's execution state during operation. It ensures that if an agent crashes mid-task, its state is preserved for inspection and seamless resumption via CLI commands.

How can I list and inspect saved agent checkpoints using a CLI?

You can list available saved states and show detailed information for a specific agent checkpoint by executing the provided CLI commands. This allows you to verify the exact execution state before initiating the resume operation.

Does this crash recovery approach support long-running data processing tasks?

Crash recovery is specifically designed for long-running processes such as large dataset processing. If an agent crashes halfway through its execution, it resumes work from the saved checkpoint, ensuring continuity and computational efficiency.

What are the limitations of resuming agents from saved checkpoints?

Checkpoint resumption relies on the existence of a valid saved state. If an agent process crashes before the initial checkpoint is written or if the state file is corrupted, resumption is not possible and the task must start over.