analysis-methodology

Run structured root-cause analysis investigations with confidence classification and gap tracking.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/jfriisj/coding-agents --skill analysis-methodology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analysis-methodology
Source: https://github.com/jfriisj/coding-agents/tree/main/.github/skills/analysis-methodology
Command: npx skills add https://github.com/jfriisj/coding-agents --skill analysis-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts unknowns into knowns through a disciplined, structured investigation workflow, reducing uncertainty and documenting gaps. It integrates memory tooling and task tracking to keep findings and actions linked.

Core Features & Use Cases

  • Structured root-cause analysis for incidents, bugs, and system behavior evaluation.
  • Confidence-level classification and gap tracking to surface remaining work.
  • Seamless integration with Obsidian (Native MCP) for memory and Planka (Native MCP) for task management.

Quick Start

Start an analysis session for an ongoing incident and map all unknowns to knowns with confidence levels.

Frequently Asked Questions about analysis-methodology

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

FAQPage Schema
What is structured root-cause analysis for incident management?

Structured root-cause analysis for incident management converts unknowns into knowns through a disciplined investigation workflow. It classifies evidence by confidence levels and tracks gaps to reduce uncertainty during bug investigations and post-mortems.

How do I track evidence confidence levels during a bug investigation?

Track evidence confidence levels during a bug investigation by mapping unknowns to knowns within a structured workflow. This approach applies strict evidence classification and gap tracking to surface remaining work and document findings.

Does root-cause analysis work with Obsidian and Planka for post-mortems?

Root-cause analysis integrates with Obsidian (Native MCP) for memory and Planka (Native MCP) for task tracking. This keeps investigation findings and post-mortem actions linked directly to your knowledge base and task management system.

What's the best way to document gaps in a system behavior evaluation?

The best way to document gaps in a system behavior evaluation is using a structured investigation workflow that converts unknowns into knowns. It enforces confidence-level classification and gap tracking to surface remaining work.

Can I use this investigation workflow for ongoing incident response?

You can use this investigation workflow for ongoing incident response by starting an analysis session. It maps all unknowns to knowns with confidence levels, ensuring uncertainty is reduced and gaps are documented during active incidents.