Does this skill provide automated fixes for bugs?

It focuses first on identifying and verifying the root cause through systematic testing; once the cause is confirmed, it assists in implementing and verifying a robust fix.

How do I activate the RCA skill during a session?

The skill is automatically triggered when you use keywords like 'root cause', 'investigate', or 'diagnosis', or when you explicitly use the '--rca' flag in your prompt.

When should I use this instead of standard debugging?

Use this skill for complex, intermittent, or high-stakes issues where understanding the underlying 'why' is critical to preventing the problem from happening again.

Can this skill help with live production outages?

Yes, it includes time-boxing strategies and audit trail features designed to help engineers navigate high-pressure incident investigations efficiently without skipping critical steps.

What is the Root Cause Analysis skill for Claude Code?

It is a specialized capability that provides Claude with a structured framework for diagnosing software failures, ensuring investigations are methodical, evidence-based, and focused on the true source of an issue.

Root Cause Analysis

Name: Root Cause Analysis
Author: outfitter-dev

byoutfitter-dev

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分析と監視

Systematically diagnoses software failures and system incidents to identify and resolve the underlying source of errors.

概要

This skill empowers Claude to act as a seasoned site reliability and software engineer, moving beyond surface-level symptoms to uncover the actual causes of system failures. It follows a rigorous, evidence-based methodology—from hypothesis formation and data gathering to systematic elimination and verification—ensuring that fixes address core issues rather than just temporary manifestations. It is an essential tool for navigating production outages, intermittent bug investigations, and complex system troubleshooting where a methodical audit trail and high-confidence verification are required.

主な機能

Structured hypothesis formation with quality criteria and falsification testing
Systematic elimination methodologies including binary search and variable isolation
Detection and prevention of common cognitive biases and investigation pitfalls
Evidence-based discovery using confidence threshold calibration
Time-boxed investigation phases with automated audit trail logging
16 GitHub stars

ユースケース

Investigating intermittent production outages or system performance degradation
Performing technical post-mortems to identify root triggers and prevent recurrence
Debugging complex race conditions and environment-specific software failures

概要

主な機能

Structured hypothesis formation with quality criteria and falsification testing
Systematic elimination methodologies including binary search and variable isolation
Detection and prevention of common cognitive biases and investigation pitfalls
Evidence-based discovery using confidence threshold calibration
Time-boxed investigation phases with automated audit trail logging
16 GitHub stars

ユースケース

Investigating intermittent production outages or system performance degradation
Performing technical post-mortems to identify root triggers and prevent recurrence
Debugging complex race conditions and environment-specific software failures