List, retrieve, version, and garbage-collect model-generated data.
npx skills add https://github.com/systeminit/swamp --skill swamp-data
Please help me install this Agent Skill. Skill: swamp-data Source: https://github.com/systeminit/swamp/tree/main/.claude/skills/swamp-data Command: npx skills add https://github.com/systeminit/swamp --skill swamp-data
This Skill helps manage the lifecycle of data produced by models, allowing you to list, view, clean up old data, and configure data retention policies efficiently.
Use the swamp data skill to list all data for the model named 'my-model'.
High-intent search queries and answers about installing and using this skill.
To list model-generated data, you can filter all data instances by workflow, type, time, or tags. Once listed, you can retrieve specific data items and inspect their complete version history to review the generated output files.
The best way to clean up expired model data is to run garbage collection. This process automatically removes expired data and old versions based on your defined lifecycle settings, effectively reclaiming storage space used by temporary artifacts.
Yes, you can rename model data instances for better organization. This feature helps you maintain a structured workspace when managing the lifecycle of data produced by your models and processing workflows.
Version history tracks changes to model data over time, allowing you to retrieve specific data items and inspect their previous versions. This ensures you can review past outputs and maintain a clear audit trail of generated artifacts.
You can search through generated model data using various filters including type, time, workflow, and tags. These filtering options help you quickly locate specific data instances and gain detailed insights into data ownership and storage.
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