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From archora-research
Generates falsifiable, testable research hypotheses from notes and documents. Use when brainstorming hypotheses, generating research questions, or identifying testable predictions. Not for general Q&A.
How this skill is triggered — by the user, by Claude, or both
Slash command
/archora-research:hypothesisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate falsifiable, testable research hypotheses from the user's notes and research content.
Generate falsifiable, testable research hypotheses from the user's notes and research content.
# 🧪 Hypothesis Analysis
## Summary
[2–3 sentences describing the main themes and what the hypotheses cover]
## Generated Hypotheses
### 🔴 [Hypothesis Title] — HIGH confidence
**Hypothesis:** [Specific, falsifiable statement with measurable prediction]
**Rationale:** [Which sources/notes support this, with specific references]
**Testable:** Yes | **Confidence:** HIGH
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### 🟡 [Hypothesis Title] — MEDIUM confidence
...
Input: Notes on predictive coding and synaptic plasticity
Good hypothesis:
"Precision-weighted prediction errors in the Rao and Ballard model are encoded through spike-timing-dependent plasticity (STDP) in the visual cortex, such that altering STDP timing windows disrupts receptive field formation."
Poor hypothesis:
"Synaptic plasticity is important for learning." ← not falsifiable, too vague
npx claudepluginhub richard-kim-79/archora-skillsFormulates testable hypotheses from observations using the scientific method. Helps design experiments, propose mechanisms, and generate predictions.
Turns observations into testable hypotheses with predictions, mechanisms, and experiments. Follows scientific method; use for ideation or LLM testing on datasets.
Formulates structured, testable hypotheses from experimental observations using a scientific-method framework — derives predictions, proposes mechanisms, and designs experiments to test them.