manage-runs

List, compare, and clean up past pipeline runs.

1|Updated May 15, 2026
One-click install
npx skills add https://github.com/Amar1404/AI_ANALYST --skill manage-runs-amar1404
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manage-runs
Source: https://github.com/Amar1404/AI_ANALYST/tree/main/skills/manage-runs
Command: npx skills add https://github.com/Amar1404/AI_ANALYST --skill manage-runs-amar1404

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manage and analyze past pipeline runs with ease, enabling you to quickly access run details, compare runs, and clean up old runs.

Core Features & Use Cases

  • Run Management: List, view details, and clean up past pipeline runs.
  • Comparison: Compare two runs side by side to identify differences.
  • Cleaning: Automatically remove runs older than 30 days.
  • Use Case: After a data analysis project, use this skill to quickly access the most recent run, compare it with a previous run, and clean up older runs to save space.

Quick Start

Use the /runs command to list all past runs, or /runs compare [run-id1] [run-id2] to compare two runs.

Frequently Asked Questions about manage-runs

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

FAQPage Schema
How do I manage past pipeline runs and view their details?

You can compare pipeline runs side by side using the comparison tool by executing the /runs compare command with two specific run identifiers to identify differences between them.

What is the best way to clean up old pipeline runs automatically?

The best way to clean up old pipeline runs is using the automatic cleanup feature, which removes runs older than 30 days to free up storage space within your pipeline directory structure.

How do I compare two pipeline runs to identify differences?

You can compare pipeline runs side by side using the comparison tool by executing the /runs compare command with two specific run identifiers to identify differences between them.

Can I use this run management tool without installing external dependencies?

Yes, you can use this run management tool without installing external dependencies, as it operates by executing internal scripts within your existing directory structure containing run directories and pipeline state information.

When do I need to analyze and clean up data pipeline runs?

You need to analyze and clean up data pipeline runs when managing multiple pipeline executions, allowing you to access recent run details, compare outputs, and remove old runs older than 30 days to save space.