parallel-task-executor

What This Skill Does

The parallel-task-executor is a powerful management tool designed to streamline OpenClaw agent workflows by enabling true multitasking. Unlike sequential processing, this skill parses multiple user instructions and registers them as independent units of work. It features an advanced priority-based scheduling system (P0-P3) and manages a concurrent execution pool with a default limit of four simultaneous tasks. Whether you are performing file operations, network requests, or complex data transformations, the skill handles dependencies, retries, and real-time progress reporting, ensuring that your agent acts as a high-performance automation center rather than a simple chatbot.

Installation

To integrate this skill into your OpenClaw environment, use the official CLI command: clawhub install openclaw/skills/skills/dexiaong/parallel-task-executor Ensure you have the latest version of the OpenClaw CLI to support resource management and dependency tracking.

Use Cases

• Bulk Data Processing: Simultaneously download multiple assets and parse them into clean JSON/XML formats.
• Automated Testing: Trigger several shell commands and script executions to verify system health across different environments.
• Web Research: Open multiple URLs, extract data via forms, and take screenshots for a consolidated report.
• System Maintenance: Perform file cleanups, renames, and archive moves concurrently to save time on administrative tasks.

Example Prompts

1. "Analyze these three CSV files, download the supplementary report from the dashboard, and send me a summary once everything is completed."
2. "Execute the build script, run the unit tests in parallel, and restart the dev server. Prioritize the build script as P0."
3. "Open these five website URLs, grab a screenshot of each, and save them into the /outputs folder simultaneously."

Tips & Limitations

• Concurrency Limits: The default max_concurrent is 4. While this can be adjusted, be mindful of local CPU and I/O saturation.
• Dependency Management: When chaining tasks, explicitly define the 'depends_on' field to prevent race conditions.
• Error Recovery: The skill automatically retries failed tasks up to 3 times with exponential backoff; check the final execution report if a specific task shows a 'failed' status to review the logs.