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Automation
Skill

/map-disagreement

Represent where perspectives/arguments agree, disagree, and why.

From plugin
de-anthropocentric-research-engine
512200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-disagreement --agent claude-code

SKILL.md

map-disagreement.SKILL.md
name: map-disagreement
description: "Represent where perspectives/arguments agree, disagree, and why."

map-disagreement

Purpose

Represent where perspectives or arguments agree, disagree, and why.

Input contract

required: [perspectives, claims_or_arguments, comparison_dimensions]
optional: [evidence, clustering_rule, convergence_measure]
constraints: [agreement and disagreement are tied to the same proposition and comparison dimension; preserve minority positions]

Procedure

1. Normalize perspectives, propositions, and evidence. 2. Cluster equivalent positions and separate agreement from disagreement. 3. Attribute each disagreement to evidence, assumptions, scope, values, or definitions. 4. Report convergence trends and unresolved fault lines.

Output contract

produces: [agreement_map, disagreement_register, cluster_arguments, convergence_trends]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Preserve source thresholds when the divergence mode applies: consensus >70% and disagreement >50%.
  • The map includes reasons and evidence for each fault line; percentages describe the supplied perspective set, not population truth.
  • Collection, clustering, argument extraction, and visualization remain separable outputs.

Parameterization

The caller must provide perspective schema, proposition identity, comparison dimensions, agreement rule, disagreement rule, evidence links, and the population represented by any percentages.

Failure and counterexamples

Reject comparisons across different propositions or scopes, and reject consensus claims when the denominator of perspectives is absent.

Provenance map

  • resolved: convergence/disagreement-mapping
  • resolved: stress-test/divergence-detection

Preserved source criteria ledger

| source | physical line | kind | source criterion | |---|---:|---|---| | stress-test/divergence-detection | 14 | percentage | Consensus is >70%; disagreement is >50%; identify convergence trends. |

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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
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Questions about map-disagreement.

Which coding agents can use map-disagreement?
map-disagreement installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.