experiment-plan-formatter

Format and validate Obsidian Experiment Plan notes with required frontmatter and falsification modules.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/xingchen2202/obsidian-ai-knowledge-system --skill experiment-plan-formatter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-plan-formatter
Source: https://github.com/xingchen2202/obsidian-ai-knowledge-system/tree/main/skills/experiment-plan-formatter
Command: npx skills add https://github.com/xingchen2202/obsidian-ai-knowledge-system --skill experiment-plan-formatter

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about experiment-plan-formatter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format an Obsidian experiment plan to make it falsification-driven?

To format an Obsidian experiment plan, the Skill validates required frontmatter fields and generates missing sections for falsifiable hypotheses, parameter design, risk contingency, and quantifiable success criteria to ensure execution readiness.

What is a falsifiable hypothesis structure in experiment planning?

A falsifiable hypothesis structure in experiment planning requires explicit falsification conditions and non-empty expected outcomes, ensuring your hypothesis is quantifiable and testable rather than relying on vague claims.

How do I add quantifiable success criteria and risk contingency to my experiment notes?

You can add quantifiable success criteria and risk contingency by applying this formatter to your experiment notes; it automatically generates an executable risk plan and success gating while rejecting vague claims.

Does this experiment plan formatter work with partial pre-experiment planning inputs?

Yes, the experiment plan formatter works with partial pre-experiment planning inputs, accepting rough notes and hypothesis specifications to generate a complete, validated Obsidian note with mandatory modules.

How do I generate a parameter scan plan with primary and backup alternatives?

To generate a parameter scan plan, the Skill creates a parameter design table detailing both primary and backup alternatives, ensuring your experiment planning notes have executable parameter configurations.

Can I keep existing Obsidian link fields unchanged when validating experiment plan frontmatter?

Yes, you can keep existing Obsidian link fields unchanged; the formatter enforces required frontmatter fields and generates missing sections while preserving your user-confirmed link fields during validation.