A comprehensive toolkit for automating repetitive work through scripts, scheduled jobs, and complex multi-step workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-automation-workflows
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install task-automation-workflows using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Task Automation skill is designed to transform manual, error-prone processes into reliable, automated systems. By utilizing Openclaw Skills, developers can script file operations, build data processing pipelines, and manage API interactions with built-in rate limiting and retry logic. This skill serves as a foundation for scaling operations by providing the templates and patterns necessary for high-performance execution.
Whether you are managing local files or orchestrating cloud-based API calls, this skill provides the structure needed to ensure tasks are completed efficiently. It bridges the gap between simple scripts and enterprise-grade automation, allowing for monitoring, logging, and graceful error handling in every workflow.
To begin using these automation features, ensure your environment has the necessary Python libraries installed and use the Openclaw Skills CLI for scheduling.
# Install common automation dependencies
pip install pandas pillow schedule tqdm
# Add a new scheduled task via the CLI
openclaw cron add \
--name "Daily Cleanup" \
--schedule "0 2 * * *" \
--task "python cleanup_script.py"
The skill manages automation state and configuration through a structured approach to ensure reliability.
| Data Type | Description | Persistence Mechanism |
|---|---|---|
| Cron Jobs | Registry of scheduled tasks and their frequencies | Openclaw Skills Config |
| Checkpoints | JSON state files to allow resuming long-running tasks | Local .json files |
| Log Data | Detailed execution history and error stack traces | automation.log |
| Context | Shared data object passed between conditional workflow steps | In-memory Dictionary |
Loading
An end-to-end automated pipeline for protein discovery that transitions from literature surveys to structural analysis and experimental prioritization.

A streamlined tool to monitor Baidu's real-time trending searches, rankings, and popularity indices directly from your AI agent workflow.

A specialized AI assistant for Optimacros developers focusing on complex formulas, model architecture, and enterprise-grade access security.

A professional utility for converting web content from major platforms into structured Feishu documents while preserving image placement and bypassing anti-leech protections.

A systematic debugging framework designed to identify and resolve AI agent failures, infinite loops, and resource bottlenecks.

A high-performance real-time WebSocket feed providing 1-second OHLC ticks and USD pricing for thousands of tokens across eight major blockchain networks.








































