Trace Skill

Use this skill for ambiguous, causal, evidence-heavy questions where the goal is to explain why an observed result happened, not to jump directly into fixing or rewriting code.

This is the orchestration layer on top of the built-in tracer agent. The goal is to make tracing feel like a reusable OMC operating lane: restate the observation, generate competing explanations, gather evidence in parallel, rank the explanations, and propose the next probe that would collapse uncertainty fastest.

Good entry cases

Use /oh-my-claudecode:trace when the problem is:

• ambiguous
• causal
• evidence-heavy
• best answered by exploring competing explanations in parallel

Examples:

• runtime bugs and regressions
• performance / latency / resource behavior
• architecture / premortem / postmortem analysis