A powerful automation engine that identifies repetitive manual operations and converts them into executable scripts and streamlined workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-workflow-1-0-0
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-workflow-1-0-0 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?
Auto Workflow is a specialized capability within the Openclaw Skills ecosystem designed to eliminate the friction of manual labor. It functions by observing user behavior to detect repetitive patterns, abstracting those patterns into logical models, and then implementing programmatic solutions to handle them automatically.
This skill shifts the AI's mindset from simply answering questions to proactively building infrastructure. By integrating Auto Workflow into your environment, you enable a system that constantly looks for opportunities to save time and reduce human error through script-based execution and continuous process optimization.
Auto Workflow Use Cases
- Automating the collection of weekly system status data and generating performance reports.
- Transforming manual multi-step deployment processes into single-command execution scripts.
- Reducing manual work in data entry or formatting tasks that follow a predictable pattern.
- Setting up scheduled tasks for routine maintenance or notifications without human intervention.
How Auto Workflow Works
- Observation: The skill monitors activities to identify what tasks the user is performing repeatedly.
- Abstraction: It analyzes the task to find the underlying logic and consistent patterns.
- Design: A plan is formulated to determine the most efficient way to automate the workflow.
- Implementation: The skill generates the necessary code, scripts, or configurations.
- Testing: A small-scale validation is performed to ensure the automation works as intended.
- Optimization: The workflow is iteratively improved based on execution results and performance.
Auto Workflow Setup
To enable this capability within your environment, ensure you have the Openclaw Skills framework installed and add the auto-workflow definition to your skill path:
# Example command to initialize or update Openclaw Skills
clawdbot install auto-workflow
Configure your environment variables to allow the agent to execute local scripts in a controlled sandbox.
Auto Workflow Data Schema & Taxonomy
Auto Workflow organizes its operations using a structured approach to track the evolution from manual to automated:
| Component | Description | Format |
|---|---|---|
| Task Pattern | The identified logic of the manual task | YAML/JSON |
| Automation Script | The executable code (Python, Bash, etc.) | .py, .sh |
| Execution Logs | History of automated runs and success rates | .log |
| Workflow Metadata | Metadata including triggers and schedules | JSON |
Auto Workflow Advanced Features
- Proactive Automation: Automatically suggests and builds scripts without waiting for a direct user request.
- Pattern Recognition: Deep analysis of user history to find non-obvious automation opportunities.
- Self-Correcting Workflows: Integrated testing phase that refines scripts if the initial execution fails.
- Multi-Step Orchestration: Supports complex chains of events across different system components.
SKILL.md
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