Query and manipulate Mu2e file metadata using the metacat Python API.
npx skills add https://github.com/Mu2e/aitools --skill coding-with-metacat
Please help me install this Agent Skill. Skill: coding-with-metacat Source: https://github.com/Mu2e/aitools/tree/main/skills/coding-with-metacat Command: npx skills add https://github.com/Mu2e/aitools --skill coding-with-metacat
This Skill streamlines the process of interacting with the Mu2e file catalog (metacat), enabling efficient discovery, manipulation, and programmatic access to file metadata.
Use the coding-with-metacat skill to list all datasets in the 'mu2e' namespace.
High-intent search queries and answers about installing and using this skill.
You can query Mu2e file metadata by utilizing the metacat Python API to programmatically retrieve detailed information about files and datasets. This facilitates efficient file discovery and metadata access for analysis workflows.
Before using the metacat Python package for file discovery, you must configure your environment and authenticate using mu2einit and muse setup ops. This setup is required to access the Mu2e file catalog programmatically.
Yes, you can declare new files and manage data ingestion by updating metadata in the Mu2e data catalog. The metacat Python API facilitates these manipulations, though explicit user approval is required for metadata updates.
The best way to find Mu2e simulation files for a specific run is programmatic file discovery using the metacat Python API. You can query datasets, retrieve ROOT URLs, and generate an input list for an art job.
To list all datasets in the mu2e namespace, use the coding-with-metacat skill to query the metacat file catalog. This allows you to discover available datasets and retrieve their detailed metadata programmatically.
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