Diagnose root causes of bugs and incidents through a four-phase investigation protocol.
npx skills add https://github.com/misty-step/volume --skill diagnose-misty-step
Please help me install this Agent Skill. Skill: diagnose Source: https://github.com/misty-step/volume/tree/main/.agents/skills/diagnose Command: npx skills add https://github.com/misty-step/volume --skill diagnose-misty-step
Investigate, audit, triage, and fix. Systematic debugging, incident lifecycle, domain auditing, and issue logging. Four-phase protocol: root cause → pattern analysis → hypothesis test → fix.
Initiate a four-phase investigation to identify and prove the root cause before applying fixes.
High-intent search queries and answers about installing and using this skill.
Systematic debugging is a structured protocol to investigate and prove the root cause of bugs before fixing. You need it for production incidents, flaky tests, and domain audits requiring traceable evidence and clear handoffs.
To diagnose a production incident, initiate a four-phase protocol: root cause investigation, pattern analysis, hypothesis testing, and implementation. This structured workflow collects reference-driven evidence to enable rapid, verifiable fixes.
Yes, this approach applies to flaky test failures and postmortems. It uses standardized guidance and templates to collect traceable evidence, ensuring structured root-cause investigation and clear handoffs across these scenarios.
The best way to investigate bugs without premature fixes is following a four-phase protocol. It enforces pattern analysis and hypothesis testing to prove the root cause first, ensuring fixes are verifiable and correct.
No specific dependencies are required for this incident management workflow. It uses internal references to provide standardized guidance and templates for collecting evidence throughout the four-phase investigation.
fluxforgeaiPerform hypothesis-driven root cause analysis and generate investigation reports.
KentoShimizuCompile incident timelines, root-cause chains, and owned prevention actions.
gqy20Monitor AI pipeline stages and log anomalies to a Debug Issue Tracker.
danieldev24Guide structured debugging and error recovery through root cause analysis.
