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TheFJK
TheFJKCOMMUNITY
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GitHub

cluster-pipeline

Automate clustering and analysis of GitHub issues using Python and the GitHub API.

2|Updated Apr 27, 2026
Search Tags:#project management#parallel processing#github#issue management#issue clustering
One-click install
npx skills add https://github.com/TheFJK/UberDev --skill cluster-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cluster-pipeline
Source: https://github.com/TheFJK/UberDev/tree/main/plugins/uberdev/skills/cluster-pipeline
Command: npx skills add https://github.com/TheFJK/UberDev --skill cluster-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, github-api, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of managing and analyzing clusters of GitHub issues, automating the lifecycle from preflight to execution.

Core Features & Use Cases

  • Lifecycle Management: Handles the entire lifecycle of /uberdev:cluster with a 6-phase pipeline.
  • Issue Clustering: Automatically clusters related GitHub issues based on various criteria.
  • Parallel Processing: Utilizes parallel processing for efficient analysis and execution.
  • Use Case: For a large project with many related issues, use this Skill to automatically organize and analyze these issues, simplifying the triage process.

Quick Start

Execute the cluster-pipeline skill with the following command: /uberdev:cluster --execute --repo owner/repo

Frequently Asked Questions about cluster-pipeline

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

FAQPage Schema
How do I automatically cluster and analyze GitHub issues for project management?▼

You can automate the clustering of GitHub issues using Python and the GitHub API to group related items based on various criteria. This streamlines the triage process for large projects by organizing high volumes of issues.

How do I manage large numbers of related GitHub issues in parallel?▼

Manage related GitHub issues in parallel by utilizing a processing pipeline that handles concurrent analysis and execution. This approach ensures efficient triage across the entire issue lifecycle.

What prerequisites do I need to run Python scripts for GitHub issue management?▼

To run Python scripts for GitHub issue management, you need Python installed, GitHub API access, and the Claude plugin. These components enable automated clustering and lifecycle execution.

Does parallel processing work for GitHub issue analysis on a large repository?▼

Parallel processing works for GitHub issue analysis on large repositories by handling the execution of clustered issues concurrently. This allows efficient management of high volumes of related items.

What is the best way to execute an automated issue clustering pipeline on GitHub?▼

The best way to execute an automated issue clustering pipeline is to trigger the 6-phase lifecycle management system with a specific repository target. This automates the organization and analysis of related items.

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