gstack-openclaw-investigate

Diagnose software bugs through systematic root-cause investigation workflows.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you debug stalled, broken, or erroring systems by enforcing a disciplined root-cause investigation before proposing changes.

Core Features & Use Cases

  • Root-cause first workflow: Forces investigation of symptoms, code paths, recent changes, and reproducibility before any fix is attempted.
  • Pattern-based triage: Matches observed failures to common bug categories like race conditions, nil/null propagation, state corruption, integration failures, configuration drift, or stale caches.
  • Hypothesis testing and guardrails: Requires evidence to confirm (or falsify) a hypothesis, uses a 3-strike rule to stop guessing, and provides structured debug reporting for traceability.

Quick Start

Use the gstack-openclaw-investigate skill when you see an error or stack trace and need a structured root-cause investigation and testable fix plan.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
How do I perform root cause analysis on a software stack trace?

To perform root cause analysis on a stack trace, you must collect symptoms, trace code paths, test hypotheses with evidence, and create regression tests. This systematic investigation prevents guessing by enforcing evidence-based verification before proposing fixes.

What is the best way to debug non-deterministic bugs and race conditions?

The best way to debug non-deterministic bugs and race conditions is pattern-based triage, matching observed failures to common categories like state corruption or integration failures. This enforces disciplined symptom collection and reproducibility checks before attempting a fix.

How do I stop guessing when debugging unexpected software behavior?

To stop guessing during debugging, apply a hypothesis testing workflow with a 3-strike rule that requires evidence to confirm or falsify each hypothesis. This root-cause first approach traces code paths and recent changes before allowing fixes.

How do I investigate a regression after recent code changes?

To investigate a regression after recent changes, trace the modified code paths against observed symptoms and test reproducibility. Pattern-based triage identifies common bug categories like configuration drift or stale caches, ensuring you confirm the root cause before fixing.

Can I use structured debugging for integration failures and configuration drift?

Yes, structured debugging applies to integration failures and configuration drift by matching observed symptoms to common bug patterns. It requires disciplined investigation of code paths and recent changes before attempting any fix.

What are the limitations of hypothesis testing in error investigation?

The limitation of hypothesis testing in error investigation is the 3-strike rule, which stops you from guessing after three failed hypotheses. If evidence cannot confirm or falsify a root cause, the workflow requires revisiting symptom collection and code path tracing.