
Root Cause Analysis
This walks you through systematic problem solving when things break in production. It's built around the 5 Whys technique and includes a structured RCA process with templates for incident reports. You get concrete examples like tracing a 503 error back through database connection pools to missing indexes to inadequate load testing environments. The skill covers when to do an RCA (production incidents, recurring problems, performance issues) and includes follow-up guides for prevention. Honestly most valuable for teams that keep fighting the same fires instead of fixing the underlying issues. The templates help you actually document what went wrong instead of just scrambling to restore service and moving on.
- skills.sh installs
- 916
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill root-cause-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Root Cause Analysis
Table of Contents
Overview
Root cause analysis (RCA) identifies underlying reasons for failures, enabling permanent solutions rather than temporary fixes.
When to Use
- Production incidents
- Customer-impacting issues
- Repeated problems
- Unexpected failures
- Performance degradation
Quick Start
Minimal working example:
Example: Website Down
Symptom: Website returned 503 Service Unavailable
Why 1: Why was website down?
Answer: Database connection pool exhausted
Why 2: Why was connection pool exhausted?
Answer: Queries taking too long, connections not released
Why 3: Why were queries slow?
Answer: Missing index on frequently queried column
Why 4: Why was index missing?
Answer: Performance testing didn't use production-like data volume
Why 5: Why wasn't production-like data used?
Answer: Load testing environment doesn't mirror production
Root Cause: Load testing environment under-provisioned
Sponsors
Details
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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