skills.rest
opendatahub-io
opendatahub-ioOFFICIAL
Explore all skills by this author →
WebsiteGitHub

pipeline-grouping

Group and deduplicate CI/CD pipeline failures using error files and Jira tickets.

3|Updated May 11, 2026
Search Tags:#ci/cd#root cause analysis#failure analysis#pipeline#jira
One-click install
npx skills add https://github.com/opendatahub-io/pipeline-skills --skill pipeline-grouping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-grouping
Source: https://github.com/opendatahub-io/pipeline-skills/tree/main/skills/pipeline-grouping
Command: npx skills add https://github.com/opendatahub-io/pipeline-skills --skill pipeline-grouping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the grouping and deduplication of CI/CD pipeline failures, simplifying and speeding up the root cause analysis process.

Core Features & Use Cases

  • Automated Grouping: Groups failed jobs by shared root cause based on preprocessed error files.
  • Jira Ticket Deduplication: Checks for existing Jira tickets to avoid duplicate entries.
  • Use Case: After a CI/CD pipeline run, use this Skill to automatically identify groups of jobs that failed for the same reason, which can then be investigated further to determine the root cause.

Quick Start

Run the pipeline-grouping skill to process your CI/CD failures and generate the grouping results.

Frequently Asked Questions about pipeline-grouping

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

FAQPage Schema
How do I automate CI/CD pipeline failure grouping and deduplication?▼

Automate CI/CD pipeline failure grouping by processing preprocessed error files and Jira ticket data to identify shared root causes and deduplicate existing tickets. This streamlines root cause analysis and issue resolution.

How do I group failed CI/CD jobs by their root cause?▼

Group failed CI/CD jobs by shared root cause using automated scripts that process preprocessed error files. This identifies clusters of jobs that failed for the same reason, enabling targeted investigation and faster resolution.

Can I check for existing Jira tickets when analyzing pipeline failures?▼

Yes, you can check for existing Jira tickets during pipeline failure analysis to automatically deduplicate entries. This prevents creating duplicate issues for the same failure and streamlines the tracking process.

What is the best way to streamline CI/CD failure analysis for root cause identification?▼

The best way to streamline CI/CD failure analysis is automating the grouping and deduplication of pipeline failures based on preprocessed error files and Jira data, which accelerates root cause identification and issue resolution.

Do I need Python scripts to process CI/CD pipeline failure groups?▼

Yes, you need Python scripts and CLI tools to process CI/CD pipeline failure groups. These scripts handle the automated grouping and deduplication tasks based on preprocessed error files and Jira ticket data.

Related Skills

Explore More Software Engineering Skills→
openshift-engopenshift-eng
112

Prow Job Analyze Test Failure

Download Prow artifacts and analyze logs to identify test failure root causes.

Official
Advanced
OmniNode-aiOmniNode-ai
3

ci-fix-pipeline

Automate CI pipeline failure resolution by fetching logs, classifying issues, and committing fixes.

Official
Advanced
TalonT-OrgTalonT-Org
5

diagnose-ci

Fetch CI logs for a failing Git branch and classify failure types.

Official
Intermediate
LuminairPrimeLuminairPrime
1

gh-fix-ci

Identify failing GitHub Actions checks and generate a fix plan.

Community
Advanced