Generate competing hypotheses and gather parallel evidence to explain observed results.
npx skills add https://github.com/Hyeonjun0527/yeon --skill trace-hyeonjun0527
Please help me install this Agent Skill. Skill: trace Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/trace Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill trace-hyeonjun0527
Orchestrates evidence-driven tracing to explain why an observed result happened by generating competing tracer hypotheses and evaluating evidence in parallel.
Restate the observation exactly, generate three distinct hypotheses, spawn tracer lanes in Claude built-in team mode, and collect evidence for and against each lane to produce a ranked synthesis.
High-intent search queries and answers about installing and using this skill.
Evidence-driven tracing is a diagnostic method that explains why an observed result happened by generating competing hypotheses and gathering supporting evidence in parallel. It produces a ranked synthesis to identify root causes.
Restate your observation exactly, generate three distinct hypotheses, and spawn parallel tracer lanes using Claude built-in team mode. Collect evidence for and against each lane to produce a final ranked explanation.
Yes, this tracing approach supports ambiguous, causal, evidence-heavy questions across runtime bugs, performance behavior, architecture reviews, and experimental results by evaluating multiple hypotheses simultaneously.
The best way is to use team-mode orchestration with distinct tracer lanes and rebuttal rounds. This enforces structured evidence gathering for and against multiple hypotheses, yielding a discriminating probe.
Yes, the workflow requires Claude built-in team mode to spawn distinct tracer lanes, evaluate evidence for and against each hypothesis, and conduct rebuttal rounds for structured synthesis.
oneforceOrchestrate parallel tracer hypotheses to identify evidence-based causal explanations.
RheinmirCoordinate parallel evidence gathering to diagnose observed results across runtime and architecture problems.
ChegginOrchestrate evidence-driven tracing to evaluate competing hypotheses for ambiguous results.
OliverOuyangOrchestrate parallel hypothesis tracing and evidence collection for causal failure analysis.
