Guides users through a four-phase root-cause investigation of software issues.
npx skills add https://github.com/nocnocgroup/gstack --skill investigate-nocnocgroup
Please help me install this Agent Skill. Skill: investigate Source: https://github.com/nocnocgroup/gstack/tree/main/investigate Command: npx skills add https://github.com/nocnocgroup/gstack --skill investigate-nocnocgroup
Systematic debugging with root-cause investigation to prevent fixing symptoms and to deliver durable fixes.
It guides users through four phases (investigate, analyze, hypothesize, implement) to gather symptoms, read code, form testable hypotheses, lock scope, and implement verifiable remedies, with proactive guidance when errors appear.
Explain the issue to the AI and start the four-phase root-cause investigation to identify the root cause before applying a fix.
High-intent search queries and answers about installing and using this skill.
A structured root-cause investigation prevents fixing symptoms by guiding you through four phases: investigate, analyze, hypothesize, and implement. It enforces evidence collection and hypothesis testing to deliver durable, regression-ready fixes for software issues.
To debug without patching symptoms, follow a structured investigation that gathers evidence, reads code, forms testable hypotheses, and locks scope. This method ensures you verify the root cause before applying a regression-ready fix with proper testing and documentation.
Structured root-cause investigation works across code, services, and scripts by progressing through four phases: investigate symptoms, analyze code, hypothesize testable root causes, and implement verifiable remedies. This enforces evidence collection and regression-ready changes.
Yes, systematic debugging can be applied to debugging tasks across code, services, and scripts. It scales from simple script errors to complex service issues by enforcing evidence collection, hypothesis testing, and verifiable fixes regardless of the environment.
If your software debugging hits dead ends, enforce a structured investigation to gather symptoms and form testable hypotheses. The process provides proactive guidance when errors appear, ensuring you lock scope and identify the root cause before implementing a fix.
ianclearyGuide systematic root cause analysis for bugs and test failures.
aist-ai-sastDiagnose MCP regression failures and implement durable fixes across test suites.
DethonDiagnose software bugs through a four-phase root-cause investigation workflow.
dsifryTrace errors backward through call stacks to identify root causes.
