investigate

Guide root-cause investigation of software failures with structured prompts and checks.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill investigate-devs6186
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/devs6186/claude-private-skills-agents-commands/tree/main/skills/gstack/investigate
Command: npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill investigate-devs6186

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with root-cause investigation to quickly identify and validate the true cause of issues across systems.

Core Features & Use Cases

  • Phase-driven approach: investigate, analyze, hypothesize, implement to structure every debug workflow.
  • Proactive guidance: prompts and checks that steer conversations toward concrete fixes when errors or stack traces appear.
  • Safety and scope controls: pre-tool checks to avoid unsafe actions and ensure actions stay within defined boundaries.

Quick Start

Ask Claude to initiate the investigate flow when you see errors, stack traces, or unexpected behavior.

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I debug a software failure using root-cause analysis?

Root-cause analysis debugging is structured through a phase-driven approach of investigate, analyze, hypothesize, and implement to systematically triage software failures and validate the true cause of issues across codebases and services.

What is the best way to troubleshoot stack traces and unexpected codebase errors?

Troubleshooting stack traces and errors is guided by proactive prompts and checks that steer conversations toward concrete fixes, automatically initiating a structured investigation flow when unexpected software behavior appears.

How do I investigate performance anomalies and regressions in my services?

Investigating performance anomalies and regressions requires integrating Bash, Grep, and Glob tools to gather system information, run tests, and apply structured hypothesis checks to isolate the root cause across affected services.

Can I use this to debug issues across different codebases and services?

Debugging across different codebases and services is fully supported, applying systematic root-cause investigation to diverse debugging tasks including errors, stack traces, regressions, and performance anomalies regardless of the specific system architecture.

What safety controls are applied during the debugging investigation process?

Safety controls during the debugging investigation process include pre-tool checks that prevent unsafe actions, ensuring all diagnostic operations and implemented fixes stay strictly within defined boundaries and scope.