Generate competing hypotheses and rank evidence to trace ambiguous causal outcomes.
npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill trace-dropsyoon
Please help me install this Agent Skill. Skill: trace Source: https://github.com/dropsyoon/oh-my-claudecode/tree/main/skills/trace Command: npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill trace-dropsyoon
This Skill helps you trace ambiguous, causal outcomes back to their most likely reasons using evidence and falsification instead of guess-and-fix.
Use /oh-my-claudecode:trace when you need to answer “given this output, why did it happen?” and the situation is ambiguous, evidence-heavy, and best handled by comparing competing explanations.
High-intent search queries and answers about installing and using this skill.
To find the root cause of an ambiguous runtime bug, use competing-hypothesis tracing to generate multiple explanations and test them with discriminating evidence. This method ranks evidence for and against each hypothesis to identify the most likely explanation.
The best way to trace why a software regression or performance issue happened is evidence-ranked reasoning. It organizes runtime behavior evidence, tracks missing data, and recommends a discriminating next probe to collapse uncertainty quickly.
Team-mode orchestration for root cause analysis runs three tracer lanes simultaneously, performs a rebuttal round to challenge findings, and synthesizes the results. This process outputs the most likely explanation with an explicit critical unknown.
You need competing-hypothesis tracing for debugging when facing ambiguous causal outcomes, evidence-heavy regressions, or configuration mysteries. It is required when guessing fixes is insufficient and falsifiable evidence is necessary to explain runtime behavior.
Yes, you can use competing-hypothesis tracing to explain configuration orchestration mysteries. It applies falsification to test deliberately different explanations, rank the collected evidence, and output the most likely reason for the orchestration behavior.
After identifying a likely explanation for a runtime bug, you should execute the recommended discriminating next probe. This highest-value next step targets the explicit critical unknown to collapse remaining uncertainty and confirm the root cause.
OliverOuyangOrchestrate parallel hypothesis tracing and evidence collection for causal failure analysis.
Leap0920Rank competing causal hypotheses using evidence and falsification for ambiguous investigations.
officechbusinessservices-creatorCoordinate competing hypotheses with evidence collection and ranked synthesis.
idoberkTrace failures through logs and call chains to identify root causes before fixing.
