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gstack-openclaw-investigate

Diagnose software bugs through a phase-driven debugging workflow and produce debug reports.

1|Updated Mar 19, 2026
Search Tags:#debugging#investigation#verification#root-cause#reproduction#stack-traces
One-click install
npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill gstack-openclaw-investigate-devs6186
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/devs6186/claude-private-skills-agents-commands/tree/main/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill gstack-openclaw-investigate-devs6186

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables systematic debugging, root-cause analysis, and verifiable fixes for errors, stack traces, and unexpected software behavior.

Core Features & Use Cases

  • Structured root-cause investigation: guides users through symptom collection, code tracing, and changelog review to identify root causes.
  • Pattern and hypothesis testing: analyzes failures for common patterns (race conditions, nil/null, memory issues) and supports controlled hypothesis testing.
  • Verification & reporting: produces a structured debug report with symptom, root cause, fix, evidence, regression tests, and status.

Quick Start

Begin a debugging session by outlining the observed symptom, then follow Phase 1 steps to gather context and form a root-cause hypothesis.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
How do I systematically root-cause software bugs from a stack trace?▼

To systematically root-cause software bugs from a stack trace, follow a structured debugging workflow that gathers context, analyzes failure patterns, tests hypotheses, and validates fixes with regression tests.

What is the best way to debug intermittent software failures and race conditions?▼

Debugging intermittent software failures and race conditions involves analyzing failures for common patterns and using controlled hypothesis testing to reproduce and verify the specific timing issue.

How do I verify that a software bug fix actually resolves the original error?▼

To verify a software bug fix resolves the original error, validate the fix by reproducing the issue, confirming the behavior change, and generating a structured debug report with evidence and regression tests.

Can I use a phase-driven debugging workflow for unexpected software behavior?▼

Yes, a phase-driven debugging workflow can be applied to unexpected software behavior by collecting symptoms, tracing code, reviewing changelogs, and forming a root-cause hypothesis before testing.

What should be included in a structured debug report for root-cause analysis?▼

A structured debug report for root-cause analysis should include the observed symptom, identified root cause, applied fix, supporting evidence, regression tests, and the current verification status.

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