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swamp-data

Manage swamp model data lifecycle with query, delete, and garbage collection commands.

Updated Apr 29, 2026
Search Tags:#data cleaning#data querying#data lifecycle management#swamp model data#swamp data
One-click install
npx skills add https://github.com/alvagante/agentspulse --skill swamp-data-alvagante
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swamp-data
Source: https://github.com/alvagante/agentspulse/tree/main/.agents/skills/swamp-data
Command: npx skills add https://github.com/alvagante/agentspulse --skill swamp-data-alvagante

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenges of managing swamp model data lifecycle, including version control, data cleanup, and efficient querying.

Core Features & Use Cases

  • Data Lifecycle Management: Track, delete, and manage the lifecycle of swamp model data.
  • Query and Filter: Perform advanced queries on data using CEL predicates, and filter results with various attributes and tags.
  • Garbage Collection: Automate the process of cleaning up expired and unnecessary data to maintain efficient storage usage.
  • Use Case: Suppose you have a large collection of model data that needs to be cleaned up regularly and filtered based on specific criteria. This Skill allows you to easily identify and manage the data as needed.

Quick Start

Use the swamp data query command to query data with a specific predicate, e.g., swamp data query 'dataType == "resource" && tags.env == "prod"'.

Frequently Asked Questions about swamp-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage the data lifecycle of swamp model data?▼

Data lifecycle management for swamp models is handled through a command-line interface that tracks, lists, and deletes data, while running garbage collection to automate the cleanup of expired and unnecessary records.

How do I query swamp model data using CEL predicates?▼

Querying swamp model data with CEL predicates is done via the `swamp data query` command, allowing you to filter complex datasets by attributes and tags, such as `swamp data query 'dataType == "resource" && tags.env == "prod"`.

What is the best way to clean up expired swamp model data?▼

The best way to clean up expired swamp model data is using the built-in garbage collection feature, which automates the process of identifying and removing unnecessary records to maintain efficient storage usage.

Do I need a specific environment setup to use swamp data querying?▼

Yes, you need a pre-existing swamp model setup to use the data querying and management interface. The command-line tool requires this environment to execute CEL predicates, list data, and run garbage collection.

Why does data querying require complex predicates for filtering?▼

Complex CEL predicates are required for filtering because swamp model datasets contain diverse attributes and tags. Using CEL allows you to perform advanced queries and precisely identify specific resources within large data collections.

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