Trace ambiguous causal questions to identify the most likely explanation.
npx skills add https://github.com/xdkp/oh-my-claudecode --skill trace-xdkp
Please help me install this Agent Skill. Skill: trace Source: https://github.com/xdkp/oh-my-claudecode/tree/main/skills/trace Command: npx skills add https://github.com/xdkp/oh-my-claudecode --skill trace-xdkp
This Skill helps you explain the root cause of an observed outcome by turning ambiguity into evidence-backed, competing explanations.
Use /oh-my-claudecode:trace to trace why your system produced a surprising result by gathering competing causal explanations and the single best next probe.
High-intent search queries and answers about installing and using this skill.
Root cause analysis for performance regressions uses evidence-driven tracing lanes to explore competing hypotheses, rank them with explicit evidence, and identify the discriminating probe that collapses uncertainty fastest.
Debugging ambiguous failures requires structured uncertainty handling that tracks observations, evidence for and against hypotheses, and applies strong falsification rules to converge on the most likely explanation.
Architecture mortem analysis compares competing causes by running multiple tracer lanes, applying explicit evidence for and against each hypothesis, and synthesizing a final ranked explanation with a critical unknown.
Team-mode orchestration with three tracer lanes traces surprising results by exploring different hypotheses simultaneously, preventing early convergence, and running a rebuttal round between top hypotheses.
Hypothesis ranking and falsification rules are needed when tracing ambiguous, evidence-heavy questions where multiple competing causes must be compared and separated based on observed evidence.
Without a discriminating probe, tracing ambiguous causal questions risks prolonged uncertainty because no single highest-value action is recommended to collapse competing hypotheses into a confirmed root cause.
OliverOuyangOrchestrate parallel hypothesis tracing and evidence collection for causal failure analysis.
EvolutionAPIGenerate ranked hypotheses with evidence for ambiguous engineering observations.
Pryma-TechOrchestrate competing tracer hypotheses to explain observed Claude team-mode results.
Leap0920Rank competing causal hypotheses using evidence and falsification for ambiguous investigations.
