A production-ready task orchestrator for AI agents featuring priority queuing, retry logic, and dependency management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-queue-sr
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 task-queue-sr 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 TaskQueue — Async Task Queue for AI Agents?
TaskQueue is a robust asynchronous task management system designed to empower AI agents with sophisticated workflow orchestration. By leveraging these Openclaw Skills, developers can move beyond simple linear execution to implement complex dependency chains, parallel processing, and graceful failure handling. It ensures that long-running or unreliable external tasks don't stall the agent, providing a reliable backbone for autonomous operations.
The skill provides a structured framework for managing the lifecycle of an agent's background work. Whether you are dealing with rate-limited APIs or multi-step reasoning chains, TaskQueue provides the necessary guardrails—such as per-task timeouts and event hooks—to maintain high availability and performance in production environments.
TaskQueue — Async Task Queue for AI Agents Use Cases
- Managing long-running background API calls without blocking the main agent loop.
- Implementing complex multi-step workflows with strict dependency requirements.
- Handling unreliable network requests using automated exponential backoff and retry logic.
- Prioritizing critical agent actions over routine maintenance tasks using priority levels.
- Monitoring agent performance through detailed run metrics and concurrency controls.
How TaskQueue — Async Task Queue for AI Agents Works
- Initialization: The agent initializes the TaskQueue environment and defines global concurrency limits and default retry policies.
- Task Registration: Tasks are added to the queue with specific metadata, including priority levels, timeouts, and required dependencies.
- Scheduling: The orchestrator evaluates the queue, triggering tasks based on priority and ensuring that dependencies are resolved before execution.
- Execution and Monitoring: Tasks run asynchronously; the system monitors for timeouts or failures, triggering event hooks for external logging or notification.
- Recovery: If a task fails, the retry logic evaluates the error and re-queues the task based on the defined strategy or executes a graceful failure routine.
TaskQueue — Async Task Queue for AI Agents Setup
To integrate TaskQueue into your project, ensure your environment is configured for Openclaw Skills and install the package via the CLI:
# Install the TaskQueue skill
clawdbot install task-queue
# Configure environment variables if necessary
export TASK_QUEUE_CONCURRENCY=5
export TASK_QUEUE_RETRIES=3
TaskQueue — Async Task Queue for AI Agents Data Schema & Taxonomy
TaskQueue organizes task data and execution history using a structured schema to ensure traceability across Openclaw Skills.
| Field | Type | Description |
|---|---|---|
task_id |
UUID | Unique identifier for the specific task. |
priority |
Integer | Priority level (0-10) where higher is more urgent. |
status |
String | Current state: pending, running, completed, failed, or cancelled. |
dependencies |
Array | List of task_ids that must complete before this task starts. |
metrics |
Object | Data including execution time, retry count, and error logs. |
TaskQueue — Async Task Queue for AI Agents Advanced Features
- Dynamic Dependency Chains: Link multiple tasks together to create complex, non-linear execution graphs.
- Custom Event Hooks: Trigger external scripts or notifications based on task completion, failure, or timeout events.
- Concurrency Management: Fine-grained control over how many tasks run in parallel to prevent resource exhaustion.
- Detailed Run Metrics: Export performance data to analyze agent efficiency and identify bottlenecks in the workflow.
- Priority Preemption: Ensure that high-priority tasks move to the front of the queue immediately for time-sensitive operations.
SKILL.md
Loading
Related Openclaw Skills
SkillTree Learning Progress Tracker
A gamified learning path tracker that organizes educational goals into a visual, prerequisite-based RPG skill tree.
Stripe Manager
A comprehensive reference skill for managing Stripe payment architectures, compliance standards, and troubleshooting workflows without requiring live API keys.
Polymarket Command Center
A read-only, high-performance interface for Polymarket providing real-time odds and market analysis without requiring API keys.
Maine Coon Virtual Pet
A sophisticated virtual pet skill for AI agents to adopt and raise a gentle giant Maine Coon through real-time resource management.
Image to PDF
A powerful utility to intelligently merge multiple images and screenshots into professionally formatted, paginated A4 PDF documents.
Arithym
Arithym is an exact math engine for AI agents that provides 62 specialized tools to ensure zero-hallucination arithmetic, calculus, and scientific computations.
Featured*
