An automated state management tool that periodically captures AI agent session data to support breakpoint recovery and historical backtracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install session-snapshot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install session-snapshot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Session Snapshot?
Session Snapshot is a robust utility designed to enhance the reliability of AI agent interactions within the ecosystem of Openclaw Skills. By creating periodic archives of the current session state, this skill ensures that developers and users can recover from interruptions, connectivity issues, or complex task failures without losing work. It captures a comprehensive view of the agent's environment, including recent message history, task progression, and critical context variables, making it an essential component for long-running autonomous workflows.
This skill provides a safety net for complex AI operations, allowing for seamless state restoration. Whether you are managing an intricate coding project or a multi-step research task, Session Snapshot integrates into your workflow to provide peace of mind through automated and manual checkpointing. It is a fundamental tool for anyone looking to build resilient agentic systems using Openclaw Skills.
Session Snapshot Use Cases
- Recovering progress after an unexpected AI agent crash or session timeout.
- Backtracking to a previous task state to explore different logic paths.
- Auditing the evolution of a session through time-stamped snapshots.
- Resuming long-term automation projects across different work sessions.
How Session Snapshot Works
- The skill monitors the active session and automatically triggers a save every 30 minutes.
- It captures the last N dialogue messages, current task progress, working directory context, and environment variables.
- The data is serialized into a structured JSON file with a unique session ID and timestamp.
- When a user issues a recovery command, the skill parses the local snapshot repository to find the most recent or relevant state.
- The AI agent context is re-initialized using the snapshot data, allowing the workflow to continue from the last saved breakpoint.
Session Snapshot Setup
To integrate Session Snapshot into your environment, follow these steps:
- Ensure your agent platform is configured to recognize new Openclaw Skills.
- Add the session-snapshot skill to your configuration directory.
- (Optional) Customize the snapshot interval by modifying the internal timer (default is 30 minutes).
- Manually trigger your first snapshot to verify storage by saying:
save snapshot
Session Snapshot Data Schema & Taxonomy
The skill organizes snapshot data using a standardized JSON structure to ensure compatibility across different Openclaw Skills environments:
| Field | Type | Description |
|---|---|---|
timestamp |
String | ISO 8601 formatted time of the snapshot |
session_id |
String | Unique identifier for the current agent session |
messages |
Array | A collection of the most recent dialogue history items |
tasks |
Array | List of active tasks and their current completion status |
context |
Object | Map of environment variables and the current working directory |
Session Snapshot Advanced Features
- Automatic snapshot triggers at the start and completion of major task milestones.
- Natural language command support for manual saves and state restoration.
- Breakpoint recovery logic that allows the agent to pick up exactly where it left off.
- Support for historical backtracking to review previous session states for debugging.
SKILL.md
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