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acm-z-stream-analyzer

Classify Jenkins pipeline test failures and diagnose root causes.

3|4|Updated Jul 25, 2025
Search Tags:#root cause analysis#Jenkins#pipeline analysis#test failure classification#AI diagnostics
One-click install
npx skills add https://github.com/stolostron/acm-ai-qe --skill acm-z-stream-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: acm-z-stream-analyzer
Source: https://github.com/stolostron/acm-ai-qe/tree/main/.claude/skills/acm-z-stream-analyzer
Command: npx skills add https://github.com/stolostron/acm-ai-qe --skill acm-z-stream-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires acm-jenkins-client, acm-cluster-health, acm-data-enricher, acm-failure-classifier, acm-cluster-investigator, acm-source, neo4j-rhacm, jira, polarion, acm-knowledge-base, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill addresses the need to efficiently analyze and classify Jenkins pipeline test failures, identifying root causes and suggesting next steps.

Core Features & Use Cases

  • AI-driven diagnostics: Utilizes machine learning to perform comprehensive analysis of Jenkins pipeline test failures.
  • Classify failures: Determines if failures are due to product bugs, automation issues, infrastructure problems, or other reasons.
  • Pipeline health assessment: Evaluates the health of the Jenkins pipeline and suggests improvements where needed.
  • Use Case: When faced with test failures in a Jenkins pipeline, the skill can be used to quickly identify the nature of the issues, whether they are related to the product code, automation script, infrastructure, or something else.

Quick Start

Analyze test failures in your Jenkins pipeline by running /onboard followed by the command analyze-jenkins-run <JENKINS_URL>.

Frequently Asked Questions about acm-z-stream-analyzer

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

FAQPage Schema
How do I automate Jenkins pipeline test failure analysis and root cause classification?▼

Jenkins pipeline test failure analysis is automated by leveraging AI diagnostics to classify root causes and identify whether issues stem from product bugs, automation scripts, or infrastructure problems.

What is AI-driven root cause analysis for CI/CD pipeline failures?▼

AI-driven root cause analysis for CI/CD pipeline failures uses machine learning and data analysis to evaluate test failures, diagnose issues, and classify the underlying reasons for the breakdown.

Does Jenkins pipeline failure classification require an oc CLI environment and specific MCPs?▼

Jenkins pipeline failure classification requires an oc CLI environment alongside connections to Jenkins and relevant MCPs to successfully execute AI diagnostics and analyze test runs.

How do I analyze a specific Jenkins run for test failures?▼

To analyze a specific Jenkins run for test failures, onboard the skill and execute the command `analyze-jenkins-run <JENKINS_URL>` to trigger AI-driven diagnostics and classification.

Can I classify test failures into product bugs and infrastructure problems using AI?▼

You can classify test failures into categories like product bugs, automation issues, and infrastructure problems by applying machine learning to evaluate pipeline health and diagnose issues.

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