A powerful background execution tool for Openclaw Skills that prevents HTTP timeouts during long-running operations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install async-task
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 async-task 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 OpenClaw Async Task?
The OpenClaw Async Task skill is a critical utility for developers building robust Openclaw Skills that require extended processing time. By decoupling task execution from the immediate HTTP response cycle, it ensures that operations like codebase analysis, large file processing, or complex API calls can complete successfully without triggering empty response from server errors.
This skill provides a reliable bridge between the AI agent and the user, maintaining session context while performing heavy-duty background work. It is essential for any workflow where the expected execution time exceeds five seconds, providing a professional and stable user experience.
OpenClaw Async Task Use Cases
- Preventing session timeouts during deep code analysis or large file scans.
- Managing multi-step operations that exceed standard response windows.
- Integrating with external APIs that exhibit unpredictable latency.
- Maintaining user engagement by acknowledging requests immediately while work continues in the background.
How OpenClaw Async Task Works
- The user initiates a command via the AI agent that is flagged as a long-running process.
- The skill invokes async-task start to record the task state and acknowledge the request to the user immediately.
- The specified technical commands or scripts are executed in the background environment.
- Upon completion or error, the skill uses async-task done or async-task fail to push results back to the active session via the CLI.
- The user receives the final output once the background process has finalized its work.
OpenClaw Async Task Setup
To integrate this into your library of Openclaw Skills, follow these installation steps:
# Clone the repository
git clone https://github.com/Enderfga/openclaw-async-task.git
cd openclaw-async-task
# Link the package globally
npm link
# Alternative: Manual installation
chmod +x async-task.js
cp async-task.js /usr/local/bin/async-task
Ensure you have Node.js 16+ and the OpenClaw or Clawdbot CLI installed to enable session detection.
OpenClaw Async Task Data Schema & Taxonomy
The skill manages task states and session metadata to ensure accurate message delivery. It primarily relies on environment variables and local state storage:
| Variable | Type | Description |
|---|---|---|
| OPENCLAW_SESSION | String | Target session ID (auto-detected if blank) |
| ASYNC_TASK_PUSH_URL | URL | Endpoint for custom notification systems |
| ASYNC_TASK_AUTH_TOKEN | String | Authentication for external push endpoints |
The internal state tracks task descriptions and completion status to prevent orphaned background processes within Openclaw Skills.
OpenClaw Async Task Advanced Features
- Automated Session Detection: Automatically identifies the active user session using session management commands for zero-config operation.
- Custom Push Endpoints: Support for forwarding results to custom webchat or notification servers via specialized HTTP POST requests.
- Status Monitoring: Use async-task status to programmatically check the health and progress of backgrounded tasks.
- Real-time Updates: The push command allows for intermediate progress updates during the execution of long-running Openclaw Skills.
SKILL.md
Loading
Related Openclaw Skills
Encrypted File Reader
A Python-powered utility for reading content from protected or encrypted local files within secure enterprise environments.
nadfunagent
An autonomous AI trading agent for the Nad.fun ecosystem that automates market scanning, token analysis, trade execution, and profit distribution.
WHU Campus News Aggregator
A specialized campus information retrieval skill that aggregates real-time news, academic lectures, and student activities from Wuhan University's official channels.
Daily Trending
A real-time data aggregator that fetches, filters, and summarizes the most significant trending topics from major social and news platforms.
Claude Code Skill
A powerful interface to control Claude Code via MCP, enabling persistent sessions and multi-agent collaboration for coding tasks.
Three Minds Multi-Agent Collaboration System
A multi-agent orchestration framework that launches three distinct AI personas to collaborate, refactor, and review code until a unanimous consensus is reached.
Featured*
