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…
Distill the strongest arguments from each perspective through Argument
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill argument-crystallization --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/argument-crystallizationContext preview
The summary Claude sees to decide when to auto-load this skill.
Distill the strongest arguments from each perspective through Argument
name: argument-crystallization description: Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods. dependencies: tactics: - disagreement-mapping - iterative-convergence-round sops: - consensus-synthesis
**Purpose:** Rather than converging on a single answer, crystallize the strongest possible arguments for each position. Uses Argument Delphi (focus on argument quality over agreement) and Dialectical Delphi (thesis-antithesis-synthesis) to produce the most rigorous version of each stance.
**When to use:**
| Parameter | Constraint | |-----------|-----------| | Rounds | 2–3 (refine arguments, not opinions) | | Perspectives | ≥4 independent | | Argument quality gate | Each argument must be steel-manned |
| Key | Type | Description | |-----|------|-------------| | question | string | The deliberation question | | perspectives | array | Contributing perspectives | | initial_arguments | array | First-round arguments | | critiques | array | Cross-perspective critiques | | refined_arguments | array | Steel-manned final arguments | | synthesis | object | Points of agreement and irreducible tensions |
1. Collect initial positions with supporting arguments 2. Cross-distribute: each perspective critiques and steel-mans others 3. Authors refine arguments incorporating strongest critiques 4. Identify points of genuine agreement vs. irreducible tensions 5. Produce crystallized argument map with quality ratings
positions:
- label: <position name>
strongest_arguments: [...]
acknowledged_weaknesses: [...]
steel_man_version: <best possible formulation>
agreements:
- point: <shared conclusion>
strength: <how robust>
irreducible_tensions:
- between: [position_a, position_b]
nature: <empirical/value/priority>
why_irreducible: <explanation><!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | disagreement-mapping | Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines. | | iterative-convergence-round | Execute one full Delphi round — collect judgments, distribute anonymous feedback, measure consensus, decide whether to continue. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | consensus-synthesis | Synthesize all rounds into a final consensus report documenting agreements, dissent, and process. |
<!-- 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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