investigate

Identify software issue root causes through a four-phase investigate, analyze, hypothesize, and implement workflow.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/cattboy/lil_bro --skill investigate-cattboy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/cattboy/lil_bro/tree/main/.claude/skills/investigate
Command: npx skills add https://github.com/cattboy/lil_bro --skill investigate-cattboy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with root cause investigation helps engineers stop chasing symptoms and start fixing the real issue.

Core Features & Use Cases

  • Four-phase workflow: investigate, analyze, hypothesize, implement to structure debugging.
  • Safety and traceability: captures evidence, hypotheses, and decisions to prevent premature fixes.
  • Use cases: debugging user-reported errors, stack traces, performance regressions, and intermittent failures across projects.

Quick Start

Prompt the assistant to start root-cause analysis using the investigate workflow.

Frequently Asked Questions about investigate

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

FAQPage Schema
What is the best way to find the root cause of a software crash or stack trace?

Root cause analysis for software crashes is best done by following a structured four-phase workflow: investigate, analyze, hypothesize, and implement. This approach captures evidence and validates hypotheses to prevent premature fixes.

How do I debug intermittent failures and performance regressions without guessing?

Debug intermittent failures and performance regressions by applying a systematic investigation workflow that separates evidence gathering from hypothesis generation. This method ensures safe, traceable recommendations with explicit evidence before any change.

How do I structure root cause analysis to stop fixing symptoms instead of the real issue?

Structure root cause analysis using a four-phase workflow: investigate, analyze, hypothesize, and implement. This process captures decisions and evidence to prevent premature fixes and ensure you address the underlying problem.

Can I use systematic debugging workflows across projects of any size?

Systematic debugging workflows can be applied to errors, crashes, slowdowns, and stack traces across projects of any size. The method scales by structuring the investigation process rather than relying on project-specific constraints.

Why should I validate a hypothesis before implementing a fix for a software issue?

Validating a hypothesis before implementing a fix prevents premature changes and ensures traceability. The analysis workflow requires explicit evidence to support the root cause hypothesis, delivering safe recommendations before any code modification.

What are the limitations of unstructured debugging for user-reported errors?

Unstructured debugging often causes engineers to chase symptoms instead of fixing the real issue. Without a workflow that captures evidence and hypotheses, fixes risk being premature and lacking the traceability needed for complex errors.