investigate

Coordinate root-cause debugging workflows into a repeatable four-phase process.

1|Updated May 27, 2026
One-click install
npx skills add https://github.com/mi179/claude-skills --skill investigate-mi179
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/mi179/claude-skills/tree/main/user/gstack/gstack/investigate
Command: npx skills add https://github.com/mi179/claude-skills --skill investigate-mi179

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Root-cause debugging workflows are often ad hoc and time-consuming. This skill provides a repeatable four-phase process (investigate, analyze, hypothesize, implement) to systematically identify root causes before applying fixes.

Core Features & Use Cases

  • Structured four-phase approach to debugging with guardrails against premature fixes.
  • Tooling integration: leverages Bash, Read, Write, Edit, Grep, Glob, AskUserQuestion, and WebSearch to collect evidence and brainstorm hypotheses.
  • Use case: when asked to debug or troubleshoot why something is broken, the skill guides the user to gather data, analyze signals, propose hypotheses, and implement validated changes.

Quick Start

Describe the failure, gather logs and signals, then begin the investigate–analyze–hypothesize–implement cycle.

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I systematically find the root cause of an error instead of guessing?

Root-cause debugging uses a structured four-phase process—investigate, analyze, hypothesize, implement—to collect evidence and validate fixes before applying changes. This prevents premature fixes by enforcing a repeatable workflow across projects and services.

What is the best way to debug a stack trace across multiple services?

Debugging a stack trace across services requires a coordinated investigation workflow that gathers logs and signals first. A guided approach enforces evidence collection and hypothesis validation before any implementation changes are made to the codebase.

How do I troubleshoot an incident without jumping to conclusions?

Troubleshooting an incident without premature fixes requires a four-phase cycle: investigate signals, analyze data, hypothesize root causes, and implement validated changes. This structured approach uses guardrails to ensure fixes are backed by collected evidence.

Can I use Bash and Grep to gather evidence during a debugging workflow?

Yes, you can use Bash, Grep, Read, Write, Edit, Glob, WebSearch, and AskUserQuestion to collect evidence and brainstorm hypotheses. These tools support the investigation and analysis phases by gathering logs, searching codebases, and validating proposed root causes.

What are the limitations of an ad hoc debugging approach for production incidents?

Ad hoc debugging is time-consuming and often leads to premature fixes without identifying the true root cause. A structured four-phase workflow overcomes this by enforcing evidence collection and hypothesis validation before implementing changes across projects.

Does guided root-cause debugging work for any project or service?

Guided root-cause debugging applies to error investigations, stack traces, and incidents across multiple projects and services. It coordinates the debugging workflow into a repeatable process regardless of the specific codebase or service architecture.