experimental-design

name	experimental-design
description	Patterns and checklists for designing and refining experiments in this research template.

Experimental Design Skill

When to Use

• The user is setting up or modifying experiments.
• The user is unsure which experiments are sufficient to support a claim.
• You need guardrails to avoid under-specified or irreproducible experiments.

Instructions

• Use references/design-checklist.md for the minimal information every experiment needs.
• Refer to the existing structure (scripts/run_experiment.py, configs/, launch/) when mapping designs to code.

When designing experiments:

1. Ask what question the experiment should answer and what constraints apply.
2. Use the checklist to ensure hypotheses, datasets, metrics, and configs are clear.
3. Propose a small set of experiments (including sanity checks and ablations).
4. Suggest concrete config changes and run commands, keeping changes small and reviewable.