Result Diagnosis

Diagnose what an experiment result means for the project. This skill is for decision-making after results exist, especially when they are negative, surprising, unstable, or hard to interpret.

Use this skill when:

• a method does not improve over baseline
• results vary strongly across seeds
• a metric improves but another metric worsens
• a baseline unexpectedly wins
• a plot or table looks suspicious
• a result may be caused by an implementation bug, metric bug, data issue, or unfair comparison
• early experiments suggest revising the algorithm or paper claim
• the user asks "what does this result mean?" or "what should we do next?"

Do not use this skill to write a polished report. Pair it with experiment-report-writer after the diagnosis is clear.

Pair this skill with: