Identify root causes of software failures through structured, phase-driven investigation.
npx skills add https://github.com/ligianehua/Gstack --skill investigate-ligianehua
Please help me install this Agent Skill. Skill: investigate Source: https://github.com/ligianehua/Gstack/tree/main/investigate Command: npx skills add https://github.com/ligianehua/Gstack --skill investigate-ligianehua
Systematic debugging with root cause investigation to prevent repeated fixes and speed up recovery.
Initiate a root-cause investigation by collecting symptoms and reproducible steps.
High-intent search queries and answers about installing and using this skill.
Root cause debugging requires collecting symptoms, reading code, checking changes, and reproducing the issue to form testable hypotheses before implementing fixes, preventing repeated patches and speeding up recovery.
Structuring an incident response debugging session involves a phase-driven workflow: investigate symptoms, analyze code, hypothesize root causes, and implement fixes to ensure systematic recovery and prevent repeated patches.
To reproduce a software failure during a post-mortem, collect initial symptoms and reproducible steps, then read the code and check recent changes to verify the issue before forming a testable hypothesis for fixes.
Yes, you can apply this structured debugging workflow across any codebases and environments for triage, incident responses, and post-mortems, relying on gathering evidence and forming testable hypotheses rather than specific tools.
You should escalate an issue during root-cause bug analysis when structured guidance fails to yield testable hypotheses, using concrete steps and evidence gathering to determine escalation paths needed for robust fixes.
derHakenTrace data flow and apply a four-phase process to fix root causes.
itallstartedwithaideaReproduce software failures, rank hypotheses, and apply targeted fixes with regression tests.
duy-tungAnalyze recent code changes to create structured technical journal entries.
UlanxxMonitor live URLs for console errors, performance regressions, and page failures.
