ogp-research-methodology

Structure garden planning research with hypothesis testing and adversarial review.

16|2|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/cofade/open-garden-planner --skill ogp-research-methodology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ogp-research-methodology
Source: https://github.com/cofade/open-garden-planner/tree/main/.claude/skills/ogp-research-methodology
Command: npx skills add https://github.com/cofade/open-garden-planner --skill ogp-research-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured approach to researching and developing garden planning methodologies within Open Garden Planner, ensuring thorough investigation and evidence-based conclusions.

Core Features & Use Cases

  • Evidence-Based Research: Encourages comprehensive analysis and consideration of all observations.
  • Predictive Hypothesis Testing: Requires hypotheses to predict numerical outcomes before experimentation.
  • Senior Reviewer Adversarial Pass: Ensures results are scrutinized by a designated reviewer for accuracy.
  • Manual Testing Sovereignty: Prioritizes manual testing as the ultimate validation method.
  • Idea Lifecycle Documentation: Tracks the progression of ideas from hunch to documented retirement.

Quick Start

To initiate research on a garden planning issue, use the ogp-research-methodology skill to define your hypothesis and initiate the evidence collection process.

Frequently Asked Questions about ogp-research-methodology

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

FAQPage Schema
How do I structure garden planning research to ensure evidence-based conclusions?

Garden planning research is structured by forming predictive hypotheses, collecting comprehensive observations, and conducting adversarial reviews to ensure evidence-based conclusions. This methodology tracks the entire idea lifecycle from initial hunch to retirement.

What is predictive hypothesis testing in garden planning research?

Predictive hypothesis testing in garden planning research requires hypotheses to predict numerical outcomes before experimentation begins. This ensures that garden planning methodologies are validated through measurable, evidence-based analysis rather than subjective observation.

How does adversarial review improve garden planning methodology?

Adversarial review improves garden planning methodology by requiring a designated senior reviewer to scrutinize research results for accuracy. This ensures evidence-based conclusions withstand rigorous critical analysis before final documentation within the garden planner.

Can I use manual testing to validate garden planning hypotheses?

Manual testing is prioritized as the ultimate validation method for garden planning hypotheses. The methodology maintains manual testing sovereignty, ensuring evidence-based research conclusions are verified through direct observation before idea retirement.

When do I need a structured research methodology for garden planning?

A structured research methodology for garden planning is needed for all stages of research, from initial hypothesis formation to final result documentation. It ensures thorough investigation and evidence-based conclusions when developing planning methodologies.