parallel-task-executor

What This Skill Does

The parallel-task-executor is a robust, high-performance orchestration engine designed for the OpenClaw AI agent ecosystem. It acts as an advanced task scheduler that transforms individual user commands into a managed execution pipeline. By leveraging a concurrent processing model, the skill allows the agent to handle multiple independent operations simultaneously, significantly reducing total latency for complex workflows. It features a sophisticated priority-based queue (P0 to P3) and handles inter-task dependencies, ensuring that workflows run in the correct logical order while maximizing system throughput. Beyond execution, the skill provides real-time progress tracking and detailed post-execution diagnostic reports, making it an essential tool for complex multi-step automation.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/dexiaong/parallel-task-executorzyg Ensure your OpenClaw CLI is authenticated and has the necessary permissions to access the repository.

Use Cases

• Automated Research Pipelines: Simultaneously fetch data from multiple APIs, parse incoming JSON/XML, and write the findings to local files.
• Batch Web Automation: Open multiple browser tabs to perform form submissions or screenshots across different web applications concurrently.
• System Maintenance: Perform batch file operations (rename/move) in conjunction with log analysis scripts.
• Complex Data Processing: Trigger multiple long-running computations in parallel to utilize multi-core CPU capacity efficiently.

Example Prompts

1. "Download these three datasets from these URLs, then parse them into JSON and move them to the projects folder; do all of this in parallel."
2. "Open these five webpages in the browser, take a screenshot of each, and save them as PNGs, using high priority for the login page."
3. "Execute these three bash scripts concurrently and generate a consolidated report once all are completed."

Tips & Limitations

• Resource Management: While the default concurrency is set to 4, ensure your host machine has sufficient RAM and CPU if increasing this limit for resource-intensive tasks.
• Dependency Management: When chaining tasks, ensure the 'depends_on' field is correctly set to prevent race conditions.
• Error Handling: Note that the skill retries failed tasks up to 3 times with exponential backoff; if a task fails repeatedly, verify its environment constraints.
• Scope: This skill is optimized for I/O-bound and CPU-bound tasks but is not intended for managing long-lived server processes.