Skill329 estrellas del repoactualizado 5d ago

argument-extraction

This Claude Code skill extracts the strongest possible versions of arguments supporting a given opinion cluster by spawning a subagent to synthesize reasoning across multiple perspectives. Use it when you need to represent a group's position fairly in its most compelling form, particularly as input for comparing disagreements between different opinion clusters.

Ver fuente Repositorio: de-anthropocentric-research-engine

Instalar en Claude Code

Copiar

git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine /tmp/argument-extraction && cp -r /tmp/argument-extraction/skills/argument-extraction ~/.claude/skills/argument-extraction

Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

Definición

SKILL.md

# Argument Extraction

Extract the core arguments supporting a given opinion cluster and present them in their strongest possible form (steel-manned). Synthesizes reasoning from multiple perspectives within the cluster into coherent, well-structured arguments.

## Execution

Spawn a subagent that takes a cluster characterization and the relevant judgments, then produces a set of steel-manned arguments representing the cluster's position.

## Why Subagent

- Argument extraction requires careful synthesis across multiple inputs
- Steel-manning requires dedicated analytical attention
- Output feeds directly into disagreement-visualization

## HARD-GATE

Output MUST contain: at least 1 argument per cluster, each with `claim`, `evidence`, `reasoning`, and `strength` fields. Arguments must be steel-manned (strongest possible version).

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