Batch

What This Skill Does

The Batch skill is a robust orchestration utility designed to handle large-scale operations within OpenClaw. It provides a structured framework for executing repetitive tasks while maintaining high reliability through built-in progress tracking, checkpointing, and granular error management. Unlike simple loops, Batch ensures that if a task encounters an issue, the entire process does not need to restart from the beginning, saving both time and computational resources.

Installation

To integrate the Batch skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/batch

Use Cases

• File Operations: Managing bulk file renaming, moving, or deletion tasks with safety confirmations.
• Data Transformation: Iterating through large datasets where specific records might occasionally fail validation.
• API Integration: Performing mass updates or data fetches where rate limiting or intermittent network timeouts are expected.
• Automation Workflows: Running complex multi-step processes on lists of entities that require periodic state saves.

Example Prompts

1. "I have 500 images in the downloads folder; use the batch skill to resize them all to 1080p, and let me know if any fail to process."
2. "Please batch process these 200 API requests to update user metadata. Use the checkpoint feature so we can resume if the connection drops."
3. "Run a dry run on the first 5 file deletion tasks in the project folder to ensure the logic is correct before proceeding with the full list."

Tips & Limitations

To maximize the efficacy of this skill, always adhere to the pre-flight checklist. Start with a dry run to validate logic, especially when dealing with destructive operations like deletions. When planning your batches, consider the network or system load; refer to the strategies.md file within the repository to determine whether parallel or sequential execution is appropriate for your specific hardware. Note that this skill is designed for resilience: it will catch and log errors for individual items but will trigger a full abort if it encounters critical system errors like disk space exhaustion or authentication failures. Always check the failed.json file generated after a run to address specific failures quickly.