hypothesis

Generate falsifiable hypotheses from notes with confidence ratings in markdown.

46|10|Updated May 15, 2026

Search Tags:#research #analysis #notes #hypothesis #structured-output #falsifiability

Ready to run

npx skills add https://github.com/richard-kim-79/archora-skills --skill hypothesis-richard-kim-79

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hypothesis
Source: https://github.com/richard-kim-79/archora-skills/tree/main/skills/hypothesis
Command: npx skills add https://github.com/richard-kim-79/archora-skills --skill hypothesis-richard-kim-79

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates falsifiable, testable hypotheses from notes, documents, and research content to accelerate scientific thinking and planning.

Core Features & Use Cases

Hypothesis generation: Produces 4–6 specific, testable hypotheses grounded in user content.
Confidence tagging: Attaches HIGH/MEDIUM/LOW confidence to each hypothesis based on available evidence.
Structured output: Presents results in a ready-to-use markdown format for quick integration into reports or plans.

Quick Start

Generate 4–6 falsifiable hypotheses from the provided notes and run with confidence tagging.

Frequently Asked Questions about hypothesis

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

FAQPage Schema

How do I generate testable research hypotheses from my notes?▼

To generate testable research hypotheses from notes, the Skill identifies themes and patterns in your content to produce 4–6 specific, falsifiable hypotheses. It analyzes your provided documents and outputs a structured markdown summary with confidence ratings for direct research planning.

What does it mean to make a hypothesis falsifiable in research analysis?▼

A falsifiable hypothesis in research analysis is a structured claim that can be proven false through testing or observation. The Skill applies this scientific principle to your notes, ensuring generated hypotheses are specific and testable rather than vague, unmeasurable statements.

Can I use this to generate confidence ratings for research themes in my documents?▼

Yes, you can generate confidence ratings for research themes in your documents. The Skill attaches HIGH, MEDIUM, or LOW confidence tags to each hypothesis based on the strength of available evidence found within your notes and research content.

What is the best way to turn unstructured research notes into a structured markdown report?▼

The best way to turn unstructured research notes into a structured markdown report is to process them through this Skill. It analyzes your content, identifies patterns, and outputs a ready-to-use markdown document containing a summary, falsifiable hypotheses, and confidence ratings.

How many hypotheses will I get from my research content?▼

You will get 4 to 6 specific hypotheses from your research content. Each generated hypothesis is grounded in the patterns identified across your notes and documents, accompanied by a HIGH, MEDIUM, or LOW confidence rating based on available evidence.

What limitations should I expect when generating hypotheses from notes?▼

A limitation when generating hypotheses from notes is that the output confidence ratings rely entirely on the evidence available in your provided content. If your source documents lack sufficient detail or data, the generated hypotheses and their supporting confidence tags may reflect lower accuracy.