executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
autovp_tuning_benchmarkSelect AutoVP candidate configurations and record benchmark-style accuracy targets for recovery runs.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this skill when comparing AutoVP candidate configurations or writing benchmark result metadata. It should not claim full Table 2 reproduction for a reduced proxy.
Candidate configurations, early validation metrics, dataset name, metric name, and paper target.
Selected configuration and benchmark summary with proxy/full status.
Normalize records, sort by metric with deterministic tie-breaking, choose the best candidate, and emit dataset/metric/target metadata. Preserve module-plan target values exactly.
Run included candidate-selection test.