Convert observations into testable hypotheses and a LaTeX report.
npx skills add https://github.com/mseok/dot --skill hypothesis-generation-mseok
Please help me install this Agent Skill. Skill: hypothesis-generation Source: https://github.com/mseok/dot/tree/main/ai/codex/skills/hypothesis-generation Command: npx skills add https://github.com/mseok/dot --skill hypothesis-generation-mseok
Observations and data often yield vague ideas or untestable narratives. This Skill provides a rigorous, repeatable workflow to transform observations into a set of testable hypotheses, integrate literature and evidence, and produce a professionally structured hypothesis-report suitable for publication or internal decision-making.
Generate a complete hypothesis-generation report for a defined phenomenon using the included template and references.
High-intent search queries and answers about installing and using this skill.
Generating testable hypotheses from observations involves a structured workflow that produces 3–5 competing hypotheses with concise mechanistic explanations, key supporting evidence, and explicit core assumptions. It integrates literature synthesis and gap analysis to anchor your ideas in existing knowledge.
The best way to structure a research hypothesis report for publication is using a LaTeX-based format with main text and appendices. This Skill outputs a professionally structured report containing discriminating experiments, structured predictions, and supplementary materials for reproducibility.
To evaluate the quality and falsifiability of a scientific hypothesis, this Skill applies a quality assessment workflow covering testability, parsimony, explanatory power, scope, and consistency with established knowledge. This ensures your hypotheses are scientifically rigorous before experimental design.
Yes, you can use this workflow to design discriminating experiments for multiple hypotheses. It provides experimental-design guidance with structured predictions organized for appendices, ensuring your experiments can effectively differentiate between the 3–5 generated competing hypotheses.
Hypothesis generation relies on integrated literature synthesis and gap analysis to anchor hypotheses in existing knowledge. While it transforms observations into testable hypotheses, incorporating references and existing evidence ensures the generated hypotheses are consistent with established scientific knowledge.
WanLanglinGenerate three to five testable hypotheses with predictions and experimental plans.
JosephWoodallGenerate structured scientific hypotheses with mechanistic explanations and experiment designs.
mkurmanGenerate testable mechanistic hypotheses with structured appendices-ready reports.
TECHKNOWMAD-LABSGuide AI/ML research from hypothesis generation to report generation.
