argument-extraction
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/argument-extractionExtract 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.
SKILL.md
.github/skills/argument-extractionView on GitHub ↗
--- name: argument-extraction description: Extract and steel-man the core arguments supporting a given opinion cluster. execution: subagent prompt: ./prompt.md input: cluster, judgments[] used-by: structured-consensus --- # 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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