research-experiment-design-planner

What problem does it solve?

This skill helps researchers convert ideas into concrete, resource-aware experimental plans for AI studies, detailing objectives, baselines, data, metrics, and evaluation criteria.

Core Features & Use Cases

• Workflow-guided experimental planning: define goals, baselines, datasets, splits, metrics, compute budget, and reporting format.
• Ablation path design: create progressive feature removal or modification steps and guardrails to avoid overfitting or unrealistic comparisons.
• Output-ready blueprint: produces explicit experiment target, baseline set, metrics, ablation matrix, and success/failure criteria for execution.

Quick Start

Provide your research goal and constraints to generate a complete, compute-aware experiment plan.