Hypothesis Designer

Frame research ideas into falsifiable hypotheses with explicit metrics and stop criteria.

1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/soheunyi/get-research-done --skill hypothesis-designer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Hypothesis Designer
Source: https://github.com/soheunyi/get-research-done/tree/main/skills/grd-hypothesis-designer
Command: npx skills add https://github.com/soheunyi/get-research-done --skill hypothesis-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers transform broad ideas into falsifiable, measurable hypotheses with explicit metrics, baselines, and stop criteria to guide experiments and evaluations.

Core Features & Use Cases

  • Iterative framing: converts vague hypotheses into a thesis/antithesis/synthesis loop to surface contradictions and minimal expansions.
  • Structured artifacts: enforces frontmatter requirements (title, summary, hypothesis_id, metrics, decision rules) and produces a clear plan for Stage 1 evaluation.
  • Handoff-ready outputs: supports compact handoffs to downstream stages (e.g., Research State Keeper) with key fields for tracking run_id, thesis, and planned actions.
  • Guardrails and questioning loop: includes a guided questioning protocol to elicit user intent, constraints, and preferred direction before execution.

Quick Start

Provide a research idea and rough goals, and let Hypothesis Designer produce a falsifiable hypothesis with metrics and a plan.

Frequently Asked Questions about Hypothesis Designer

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

FAQPage Schema
How do I turn a research idea into a falsifiable hypothesis with clear metrics?

Hypothesis framing applies a thesis, antithesis, and synthesis loop to surface contradictions and refine ideas. It produces structured artifacts with required frontmatter fields including title, summary, metrics, and decision rules for formal evaluation.

What is the best way to define stop criteria and baselines for experiment design?

Defining stop criteria and baselines requires enforcing structured frontmatter fields within your research design. This ensures your experiment includes explicit thresholds and decision rules before moving to a formal Stage 1 evaluation.

How do I structure a research hypothesis document for a Stage 1 evaluation handoff?

Structuring a hypothesis document for Stage 1 evaluation involves generating a referenced artifact with compact handoff fields. It includes run_id, thesis, planned actions, and decision criteria to support downstream research state tracking.

Can I use this guided questioning protocol for early-stage literature review planning?

Yes, you can use the guided questioning protocol for early-stage literature review planning. It elicits user intent, constraints, and preferred direction to frame research ideas before execution across experiments and planning sessions.

Does hypothesis framing work without prior metrics or baseline data?

Hypothesis framing requires no prior baseline data to start, as the questioning loop elicits your rough goals first. However, the final output must enforce required elements including metrics, baselines, and thresholds for evaluation.