Coordinate parallel evidence gathering to diagnose observed results across runtime and architecture problems.
npx skills add https://github.com/Rheinmir/skills-kit --skill trace-rheinmir
Please help me install this Agent Skill. Skill: trace Source: https://github.com/Rheinmir/skills-kit/tree/main/skills/trace Command: npx skills add https://github.com/Rheinmir/skills-kit --skill trace-rheinmir
Ambiguity and evidence-heavy questions about why an observed result occurred require a structured reasoning process. This skill provides an orchestration layer on top of the built-in tracer agent to restate the observation, generate competing explanations, gather evidence in parallel, rank the explanations, and propose the next probe that collapses uncertainty fastest.
Use /trace in Antigravity built-in team mode to restate the observation, generate three competing hypotheses, and collect evidence in parallel.
High-intent search queries and answers about installing and using this skill.
Root-cause debugging for ambiguous runtime bugs requires a structured workflow that generates competing hypotheses, gathers evidence in parallel, and ranks explanations by evidence strength to collapse uncertainty.
Tracing performance latency involves restating the observation, spawning dedicated tracer lanes to collect evidence for and against multiple hypotheses, and running a rebuttal round to synthesize a discriminating probe.
Yes, team mode orchestrates multiple tracer hypotheses by extracting a target, spawning dedicated lanes for parallel evidence gathering, and merging findings into a ranked synthesis with a critical unknown.
Structured trace investigation applies to architecture decisions and configuration orchestration by enforcing evidence-driven reasoning to diagnose why an observed result occurred across ambiguous causal problems.
Diagnosing experimental results requires restating the observation, generating three competing explanations, collecting evidence in parallel, and proposing a final discriminating probe that collapses uncertainty fastest.
AntonBespalovDebug embedded systems with a structured observation-hypothesis-plan-analysis workflow.
marcmunoz-unoTrace observed outcomes by comparing competing hypotheses with ranked evidence.
kimasplundEliminate competing hypotheses through evidence-based reasoning in complex diagnostics.
INNERJOINTTrace causal observations to rank competing explanations for system behavior.
