Diagnose software and workflow issues through structured, evidence-based investigation.
npx skills add https://github.com/DSado88/squall --skill issue-investigator
Please help me install this Agent Skill. Skill: issue-investigator Source: https://github.com/DSado88/squall/tree/main/.claude/skills/issue-investigator Command: npx skills add https://github.com/DSado88/squall --skill issue-investigator
Investigate and diagnose issues by applying a structured, evidence-based process to identify root causes and prevent recurrence.
Explain to the AI how you would begin an issue investigation and what initial data you would gather to form a problem statement.
High-intent search queries and answers about installing and using this skill.
Root cause analysis for software bugs systematically investigates incidents using a structured, evidence-based process to identify underlying causes, apply observability, test hypotheses, and document findings to prevent future recurrence.
To investigate performance issues across services, apply a structured multi-sensor investigation loop: understand the problem, hypothesize, instrument the code, observe telemetry, and document the actionable root cause.
Yes, this structured debugging workflow applies cross-domain to codebase bugs, service incidents, and system misconfigurations by enforcing observability and hypothesis testing to reach actionable conclusions.
The best way to document debugging findings is through systematic knowledge capture during the investigation loop, recording hypotheses, instrumentation steps, and observations to improve future incident response and debugging efforts.
Start an issue investigation by explaining the initial symptoms to the AI, gathering available data to form a concrete problem statement, and then generating testable hypotheses for systematic observation.
Hypothesis testing matters when diagnosing complex software issues because it enforces an evidence-based investigation loop, preventing premature conclusions and ensuring the true root cause is identified through observability.
neurofooPerform iterative root cause analysis by repeatedly asking why.
chicanoandres702Analyze and resolve distributed system errors using structured root-cause analysis and observability.
lygavInstrument federated squad agents with OpenTelemetry to collect traces, metrics, and logs.
keremtoker468-dotcomGuide hypothesis-driven debugging through four phases for root cause analysis.
