hypothesis-generation
k-dense-ai1.9k installs
Turn observations into testable research plans.
What it does
Develops testable research plans that distinguish competing explanations and specify predictions, measurements, and analyses.
When to use it
Use when turning observations or preliminary findings into transparent research plans without treating hypotheses as established facts.
How to use it
Give it an observation or preliminary finding; it develops candidate explanations and tests, with a local Markdown preregistration scaffold.
What you provide
- an observation or preliminary finding
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 1
The bundled local validation and scaffold-generation CLIs require Python 3.11+ and use only the standard library.
Access · 2
This skill
scientific literature
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Searches scientific literature
arXiv
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Fetches current arXiv citation details