experiment-results-planning

What problem does it solve?

This Skill prevents weak, untraceable, or prematurely written Results/Discussion sections by forcing an experiment plan, tables/figures data contracts, and traceability from contributions to evidence.

Core Features & Use Cases

• Experiment protocol design: Define dataset/splits, fair baselines, metrics (including imbalance handling), main comparisons, efficiency evaluation, and ablations aligned to each claimed module.
• Traceability gates for claims: Ensure every Introduction contribution maps to at least one experiment, limitation note, or future-work boundary and stays traceable through tables/figures.
• Mock data containment: Allow synthetic or mock values only for planning artifacts (with strict naming and explicit replacement placeholders), never as real evidence.
• Table/figure handoff preparation: Produce table schema and a data manifest and specify a figure-generation pipeline so results prose can later be updated cleanly.

Quick Start

Use the experiment-results-planning skill to create the planning files and gates for your paper’s Results section before you finalize any real metrics.