An advanced automation engine designed to orchestrate complex task chains through cron scheduling, webhooks, and file monitoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xh-auto-workflow
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 xh-auto-workflow 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 Workflow Pro?
Auto Workflow Pro is a robust automation engine designed for developers who need to streamline repetitive task sequences into reliable, automated workflows. As a premier entry in the Openclaw Skills ecosystem, it bridges the gap between raw data collection and final archival by providing a structured environment for task orchestration. Whether you are managing API integrations or local file system changes, this skill ensures that your operations run like clockwork without manual intervention.
The tool excels at handling the entire lifecycle of a task, from initial trigger to final notification. By leveraging Openclaw Skills, users can build resilient pipelines that include data cleansing, database operations, and multi-channel alerts. Its architecture is built for reliability, offering both immediate execution and daemon modes for continuous background monitoring.
Auto Workflow Pro Use Cases
- Daily Data Synchronization: Automatically fetch data from external APIs every night, clean the noise, and sync it to your production database.
- Real-time File Processing: Monitor specific directories for new uploads to trigger immediate transformations and stakeholder notifications.
- Automated Incident Alerting: Use incoming webhooks from external services to trigger diagnostic checks and send urgent alerts via email or messaging platforms.
- Scheduled Reporting: Generate and distribute complex business reports by aggregating data from multiple sources at predefined intervals.
How Auto Workflow Pro Works
- Trigger Identification: The engine listens for a specific event defined in the configuration, such as a Cron expression, an incoming Webhook, or a file system change.
- Task Chain Initialization: Once triggered, the workflow engine initializes the task sequence, supporting both serial and parallel execution paths.
- Data Passing: Output from one task (like an HTTP response) is passed to the next task (like a data transformation module) through a structured data pipeline.
- Execution and Monitoring: The system executes built-in tasks including database writes, email dispatch, or file operations while logging status.
- Completion & Archival: Upon finishing the task chain, the engine logs the result and returns to a listening state for the next trigger event.
Auto Workflow Pro Setup
To integrate this engine into your environment, follow these steps:
# Navigate to the skill directory
cd auto-workflow-pro
# Install required dependencies
npm install
# Define your first workflow in workflow.json
# Then run the daemon to start listening for triggers
node workflow.js --daemon
Auto Workflow Pro Data Schema & Taxonomy
Auto Workflow Pro uses a structured JSON schema to define logic and track state. The following table outlines the core data components:
| Component | Format | Description |
|---|---|---|
| Workflow Config | workflow.json |
Defines triggers (cron/webhook) and the array of task objects. |
| Task Input/Output | JSON/File | Intermediate data stored in temporary files or passed in-memory between tasks. |
| Status Logs | Console/Logs | Real-time tracking of task success, failure, and execution timestamps. |
| Metadata | String/Object | Key-value pairs for task parameters like URLs, file paths, and credentials. |
Auto Workflow Pro Advanced Features
- Multi-Trigger Support: Configure a single workflow to respond to both scheduled cron jobs and real-time webhooks.
- Parallel Execution: Optimize performance by running independent tasks simultaneously within the same workflow chain.
- Persistent Daemon Mode: Run the engine as a background service with built-in status monitoring using the
--statusflag. - Extensible Task Modules: Includes specialized modules for HTTP requests, data transformation, database operations, and sleep delays for complex timing requirements.
SKILL.md
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