gstack-investigate

Investigate software bugs through a four-phase root cause workflow.

Updated May 19, 2026
One-click install
npx skills add https://github.com/anilveersingh1308/copilot-skills --skill gstack-investigate-anilveersingh1308
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-investigate
Source: https://github.com/anilveersingh1308/copilot-skills/tree/main/.github/skills/gstack-investigate
Command: npx skills add https://github.com/anilveersingh1308/copilot-skills --skill gstack-investigate-anilveersingh1308

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you stop guessing during debugging by forcing a structured root-cause investigation so you only apply fixes that are justified by evidence.

Core Features & Use Cases

  • Four-phase investigation workflow: investigate, analyze, hypothesize, and implement, with an explicit rule of no fixes without root cause.
  • Trigger-first debugging routing: use this skill when a request matches bug, error, stack trace, 500 error, or “it was working yesterday” troubleshooting patterns (gstack routing family).
  • Repository-aware context gathering: pulls prior investigations and learnings via gbrain context queries to speed up hypothesis formation and reduce repeated mistakes.

Quick Start

Proactively run gstack-investigate after you notice “this is broken” by asking for root cause analysis of the failing behavior, and include the error text or stack trace.

Frequently Asked Questions about gstack-investigate

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

FAQPage Schema
How do I find the root cause of a software bug instead of just guessing?

Root cause analysis for software bugs requires a structured, four-phase workflow: investigate, analyze, hypothesize, and implement. This enforces evidence-based debugging by requiring explicit root cause confirmation before applying any code fixes.

How do I debug a 500 error using a stack trace?

Debugging a 500 error using a stack trace involves gathering repository context, analyzing the trace, and forming hypotheses. A strict investigation workflow ensures you identify the exact failure point and confirm the root cause before writing a fix.

What is the best way to troubleshoot a software regression that was working yesterday?

Troubleshooting a software regression involves routing the broken behavior through a systematic investigation process. By querying repository context and prior learnings, you can form accurate hypotheses about what changed and confirm the root cause before implementing a fix.

Can I apply code fixes immediately during error triage?

Applying code fixes immediately during error triage is blocked by this workflow. It enforces a strict rule of no fixes without root cause confirmation, ensuring you only apply patches justified by evidence from the stack trace or repository context.

How do I use bash and grep tools for systematic root cause investigation?

Systematic root cause investigation uses tool-gated execution with bash, grep, read, write, edit, and glob to query repository context. This structured approach gathers evidence and tests hypotheses before you implement the actual code fix.