experiment-plan-formatter

What problem does it solve?

This Skill prevents under-specified experimental notes by turning rough experiment planning into a complete, falsification-driven Experiment Plan with strict validation.

Core Features & Use Cases

• Experiment Plan formatting and validation: Checks frontmatter completeness and ensures five mandatory modules exist, adding missing sections when needed.
• Falsifiable design enforcement: Generates a quantifiable, testable hypothesis with explicit falsification conditions and non-empty expected outcomes.
• Parameter, risk, and success gating: Creates a parameter design table with主方案/备选方案, generates an executable risk plan, and produces fully quantifiable success criteria (no vague claims).

Quick Start

Ask the AI to format an existing Experiment Plan note so it gets completed with hypothesis, parameters, risks, success standards, and (if finished) an execution review section.