RootCauseAnalysis

Identify actionable contributing factors in incidents using five RCA workflows.

1|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/starlink-awaken/pai-universal --skill rootcauseanalysis-starlink-awaken
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: RootCauseAnalysis
Source: https://github.com/starlink-awaken/pai-universal/tree/main/templates/packs/RootCauseAnalysis/src
Command: npx skills add https://github.com/starlink-awaken/pai-universal --skill rootcauseanalysis-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

RootCauseAnalysis provides a structured, blameless framework to identify contributing factors behind incidents, moving beyond proximate causes to surface latent conditions and actionable fixes that prevent recurrence.

Core Features & Use Cases

  • FiveWhys, Fishbone, Postmortem, FaultTree, Kepner-Tregoe workflows to analyze incidents and defects.
  • Contextual references Foundation.md and MethodSelection.md to guide method selection and canonical sources.
  • Swiss Cheese model mapping, latent-condition discovery, and cross-incident pattern recognition to drive durable changes.

Quick Start

Run a blameless RCA by selecting a workflow (for example, Postmortem) to generate a structured report with contributing factors and actionable actions.

Frequently Asked Questions about RootCauseAnalysis

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

FAQPage Schema
How do I conduct a blameless root cause analysis for a production outage?

A blameless root cause analysis identifies actionable contributing factors behind incidents without assigning blame. You can use workflows like Five Whys or Postmortem to surface latent conditions and generate actionable fixes to prevent recurrence.

What is the best way to run a Five Whys or Fishbone analysis for software defect investigations?

The best way to run a Five Whys or Fishbone analysis is using a structured RCA workflow that maps contributing factors systematically. These workflows move beyond proximate causes to discover latent conditions and drive durable cross-team learning changes.

Can I use Fault Tree or Kepner-Tregoe methods for postmortem incident management?

Yes, you can use Fault Tree and Kepner-Tregoe workflows for postmortem incident management. The framework supports five distinct RCA workflows to analyze production outages and defects, emphasizing actionable changes rather than focusing on blame.

When do I need to apply the Swiss Cheese model during an incident postmortem?

You need to apply the Swiss Cheese model during an incident postmortem when mapping how multiple latent conditions align to cause a failure. It helps identify durable, actionable fixes by recognizing cross-incident patterns rather than isolated proximate causes.

How do I select the right RCA workflow for my incident investigation?

To select the right RCA workflow for your incident investigation, you evaluate the context using the provided method selection guidance. This ensures you choose the appropriate workflow, such as Postmortem or Fault Tree, based on the specific incident characteristics.

Does blameless root cause analysis work for cross-team defect investigations?

Yes, blameless root cause analysis works effectively for cross-team defect investigations. It structures the investigation to surface latent conditions and actionable contributing factors, driving cross-team learning to prevent future incident recurrence.