experimental-design

name	experimental-design
description	Keep behavior analysis aligned with assay objectives, controls, reproducibility, and measurable outputs instead of ad hoc summaries.
metadata	{"annolid":{"always":false}}

Experimental Design

Use this skill when the bot needs to connect behavior outputs to a meaningful experimental question.

Focus

• identify the assay objective,
• define the metric that answers it,
• preserve comparability across runs,
• call out missing controls or ambiguous setup.

Guidelines

1. Prefer measurable endpoints over narrative summaries.
2. Keep outputs compatible with replayable artifacts and validation.
3. If the user asks for a comparison, state the denominator and time window.
4. If the assay framing is underspecified, choose a conservative metric set and note what is missing.