formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Tactic: Multi-hypothesis management — generate competing hypotheses,
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill competing-hypothesis-matrix --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/competing-hypothesis-matrixContext preview
The summary Claude sees to decide when to auto-load this skill.
Tactic: Multi-hypothesis management — generate competing hypotheses,
name: competing-hypothesis-matrix description: 'Tactic: Multi-hypothesis management — generate competing hypotheses, design discriminating predictions, build a structured comparison matrix' version: 1.0.0 category: hypothesis-formation type: tactic campaign: hypothesis-formulation sops: - competing-hypothesis-generation - discriminating-prediction-design - hypothesis-comparison-matrix dependencies: sops: - competing-hypothesis-generation - discriminating-prediction-design - hypothesis-comparison-matrix
Multi-hypothesis management — systematically generate alternative explanations competing with the primary hypothesis, design key predictions that can distinguish them, and build a structured comparison matrix to avoid confirmation bias.
The most dangerous bias in scientific reasoning is holding only one hypothesis. This tactic forces CC to first systematically construct competing hypotheses before settling on the "best" hypothesis, then design predictions that can distinguish them.
The three steps cannot be reordered: first generate competing hypotheses (skipping not allowed), then design discriminating predictions (not allowed to only compare without testing), and finally build the comparison matrix (not allowed to only enumerate without quantifying). The final output is not "which hypothesis is correct" but "what experiment can distinguish them."
| SOP | Responsibility | When to call | |-----|------|---------| | competing-hypothesis-generation | Based on the primary hypothesis, generate ≥3 alternative hypotheses competing with it (different mechanisms, same or similar phenomenon prediction range) | Required in all modes, execute first | | discriminating-prediction-design | Design discriminating predictions for each pair of competing hypotheses — find an observable result for which the two hypotheses predict differently | Required in all modes, after competing-hypothesis-generation | | hypothesis-comparison-matrix | Assemble all hypotheses and discriminating predictions into a structured comparison matrix, annotating each hypothesis's expected outcome for each prediction | Required in all modes, execute last |
**Simplified (S tier, 1 primary hypothesis)**
**Standard (M tier, 2-3 primary hypotheses)**
**Deep (L tier, complex hypothesis set)**
Report to the calling strategy after execution:
<!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | competing-hypothesis-generation | SOP: Generate mechanistically distinct competing hypotheses for the same phenomenon | | discriminating-prediction-design | SOP: design key predictions and observation plans that can distinguish competing hypotheses | | hypothesis-comparison-matrix | SOP: Build a multi-dimensional comparison matrix of competing hypotheses |
<!-- END available-tables (generated) -->
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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