root-cause-analysis

Extract error signatures from logs and produce structured root-cause reports.

8|2|Updated Jul 13, 2015
One-click install
npx skills add https://github.com/tstapler/dotfiles --skill root-cause-analysis-tstapler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-analysis
Source: https://github.com/tstapler/dotfiles/tree/main/.claude/skills/root-cause-analysis
Command: npx skills add https://github.com/tstapler/dotfiles --skill root-cause-analysis-tstapler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Systematic investigation of errors by combining personal-wiki history with external documentation to identify root causes, extract error signatures, and assemble actionable investigations.

Core Features & Use Cases

  • Structured root-cause workflow across logs, journals, and incident notes
  • Cross-reference internal wiki history with external documentation to surface patterns and prior solutions
  • Generate a reproducible, evidence-based root-cause report suitable for postmortems

Quick Start

Provide a step-by-step root-cause analysis for a given error by extracting the error signature, querying wiki history and external docs, and delivering a structured report.

Frequently Asked Questions about root-cause-analysis

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

FAQPage Schema
How do I perform a systematic root-cause analysis from application logs and incident notes?

Yes, you can cross-reference internal wiki history with external documentation to identify root causes. This workflow surfaces historical context, related incidents, and known fixes while sanitizing sensitive information before querying external sources.

What is the best way to investigate an error signature across historical incident data?

Yes, the root-cause analysis process produces a structured postmortem report. This reproducible, evidence-based output includes extracted error signatures, investigation timelines, and actionable preventive actions derived from logs and external documentation.

Does the root-cause investigation workflow sanitize sensitive log data before checking external docs?

You need raw error logs, journals, and incident notes to extract error signatures and contextual data. Providing these inputs enables the investigation workflow to cross-reference wiki history and external docs to produce a structured root-cause report.

Why does my root-cause investigation fail to find known fixes in external documentation?

Root-cause investigations may fail to find known fixes if error signatures are not accurately extracted from logs. Accurately isolating the signature and contextual data is required to successfully cross-reference historical wiki entries and external documentation.