The Batch File Processor enables parallel execution across large file sets using sub-agents to prevent context overflow and maximize efficiency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install batch-file-processor
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 batch-file-processor 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 Batch File Processor?
The Batch File Processor is a sophisticated orchestration skill designed to handle high-volume file operations by delegating tasks to multiple sub-agents. In the ecosystem of Openclaw Skills, this tool solves the critical challenge of main agent context window exhaustion. By splitting large directories into manageable batches, it allows for deep, comprehensive analysis of each file without the risk of truncation or lost information.
This skill is particularly effective for developers and data researchers who need to maintain high accuracy while processing dozens or hundreds of files. It ensures that the main agent remains responsive by offloading the heavy lifting of reading and summarizing to transient sub-agents, eventually synthesizing their JSON outputs into a final cohesive report.
Batch File Processor Use Cases
- Creating automated indexes and summaries for large software repositories or documentation folders.
- Extracting structured data like project names, budgets, and risks from collections of reports.
- Classifying contents across many files for compliance, security, or migration readiness.
- Performing bulk code analysis to identify dependencies and line counts across entire projects.
How Batch File Processor Works
- The skill identifies the target file set using a find command to ensure all relevant files are captured and sorted.
- Files are automatically grouped into optimal batches of 2 to 4 files each to balance speed and accuracy.
- The system dispatches parallel sub-agents for each batch, providing them with a specific task template and JSON output requirements.
- The main agent uses session yielding to monitor the progress and collect results as each sub-agent completes its task.
- All individual JSON responses are merged and compiled into the final deliverable, such as a project index or a data summary.
Batch File Processor Setup
To implement this within your environment, ensure your agent has permissions to spawn sub-processes. You can initialize the file list using a standard bash command:
find <directory> -type f -name "*.md" | sort
When dispatching tasks through Openclaw Skills, configure your sub-agent with a runTimeoutSeconds of 120 or higher to allow for thorough processing of batch contents.
Batch File Processor Data Schema & Taxonomy
The skill relies on a standardized JSON structure for communication between sub-agents and the main controller. This ensures that Openclaw Skills can reliably merge data from various parallel processes.
| Attribute | Type | Description |
|---|---|---|
| file | String | The relative path to the file processed by the sub-agent. |
| summary | String | A brief description or analysis of the file content. |
| metadata | Object | Optional fields for extracted data like imports, dates, or tags. |
Batch File Processor Advanced Features
- Parallel sub-agent dispatching to bypass single-threaded processing limitations.
- Customizable JSON task templates for specialized extraction, classification, and transformation logic.
- Dynamic timeout management to handle large or complex file types without session failure.
- Scalable architecture that supports processing 70+ files in approximately 5 minutes with high summary accuracy.
SKILL.md
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