Scan local files or directories and generate a file inventory with metadata.
npx skills add https://github.com/cas-bigdatalab/piflow --skill batch-collector
Please help me install this Agent Skill. Skill: batch_collector Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/batch_collector Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill batch-collector
This Skill automates the process of generating a file inventory for batch processing tasks, saving time and reducing manual effort.
Run the batch_collector skill with the input directory and output file as arguments.
High-intent search queries and answers about installing and using this skill.
To generate a file inventory for batch processing, run the batch_collector skill by passing your target input directory and desired output file as arguments, which scans local paths and compiles metadata for supported extensions.
Yes, you can load file paths from a task list to create a local file manifest, or you can directly scan one or more local files and directories to gather the necessary metadata for your batch processing operations.
No, you do not need to install additional dependencies for file scanning and metadata collection, because this process requires only built-in Python standard libraries to scan directories and compile file extension metadata.
The best way to prepare a file list for subsequent data collection operations is to compile a metadata inventory of supported file extensions, ensuring the output manifest is ready for text, table, document, and image collection.
Yes, batch file scanning supports compiling metadata for document and image files, generating a comprehensive inventory that prepares these specific file extensions for further downstream collection processes.
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