A powerful automation engine for AI agents designed to handle scheduled task execution, persistent state tracking, and intelligent error recovery.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-loop
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 auto-loop 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 Auto Loop Skill?
The Auto Loop Skill is a sophisticated scheduling and orchestration layer for AI agents within the Openclaw Skills ecosystem. It enables agents to move beyond reactive behaviors by providing a framework for proactive, time-based, and recurring operations. By leveraging this skill, developers can automate routine maintenance, data polling, or complex multi-step workflows that require consistent execution without manual intervention.
At its core, the skill manages the full lifecycle of an automated task, from initial cron-based triggering to final execution logging. It is specifically designed to handle the volatility of automated environments, offering robust mechanisms for failure detection and state persistence to ensure that no task is lost during system restarts or network interruptions.
Auto Loop Skill Use Cases
- Scheduling periodic scripts and maintenance routines at specific intervals.
- Automating daily or hourly routine work reports and data synchronization tasks.
- Monitoring system health and automatically attempting to recover failed processes.
- Executing batch processing jobs using high-priority queues and concurrency limits.
How Auto Loop Skill Works
- The user defines a trigger condition using natural language or cron expressions to specify when a task should run.
- The scheduler validates the request and adds the task to a priority queue with defined concurrency limits.
- Upon reaching the scheduled time, the skill executes the task while monitoring resource usage and execution status.
- Detailed logs and execution history are recorded to track success rates and performance metrics.
- If a task fails, the built-in recovery engine triggers a retry sequence based on the pre-configured delay and maximum retry limits.
Auto Loop Skill Setup
To integrate the Auto Loop Skill into your environment, ensure you have the required Node.js runtime and apply the following configuration to your agent settings:
# Install via the Openclaw Skills manager
claw skill install auto-loop
Configure your scheduling parameters in your project configuration file:
retries:
max: 3
delay: 5000
scheduler:
maxConcurrent: 5
persistInterval: 60000
Auto Loop Skill Data Schema & Taxonomy
The skill maintains a structured dataset to track task lifecycles and historical performance. The following schema defines the core data organization:
| Attribute | Type | Description |
|---|---|---|
task_id |
String | Unique identifier for the scheduled job |
schedule |
Cron/Interval | The timing definition for task execution |
status |
Enum | Current state: pending, running, success, or failed |
retry_count |
Integer | Number of attempts made for the current task instance |
last_run |
Timestamp | ISO 8601 string of the most recent execution |
output_log |
Text | Captured logs and errors from the execution context |
Auto Loop Skill Advanced Features
- Support for complex Cron expressions and fixed-interval recurring triggers.
- Priority-based task queuing to ensure critical automations run first.
- Intelligent failure recovery with customizable exponential backoff strategies.
- High-concurrency management to run up to 5 simultaneous tasks without performance degradation.
- Persistent state tracking that saves task progress every 60 seconds to prevent data loss.
SKILL.md
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