argument-extraction
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Extract and steel-man the core arguments supporting a given opinion cluster.
In this repository119 other files it gives its agents.
- adaptive-pair-selectionSkill
- adversarial-debate-protocolSkill
- advocate-constructionSkill
- aggregation-methodSkill
- alternative-scoringSkill
- appropriateness-boundingSkill
- argument-crystallizationSkill
- assumption-challengeSkill
- assumption-excavationSkill
- assumption-extractionSkill
- ballot-collectionSkill
- best-option-selectionSkill
- bottleneck-identificationSkill
- category-sortingSkill
- cluster-analysisSkill
- coherence-diagnosisSkill
- collective-adjudicationSkill
- comparative-feasibility-rankingSkill
- comparison-executorSkill
- conclusion-sensitivitySkill
- conjunctive-filterSkill
- consensus-classificationSkill
- consensus-measurementSkill
- consensus-synthesisSkill
- consistency-audit-loopSkill
- constraint-classificationSkill
- constraint-drillingSkill
- constraint-identificationSkill
- constraint-identification-sopSkill
- convergence-checkSkill
- convergence-distillationSkill
- counter-thesis-constructionSkill
- coverage-scoringSkill
- criteria-interrogationSkill
- criterion-definitionSkill
- critic-attackSkill
- cycle-detectionSkill
- deliberative-calibrationSkill
- dimension-assessmentSkill
- disagreement-cartographySkill
- disagreement-mappingSkill
- disagreement-visualizationSkill
- diversity-maximizationSkill
- dominance-checkSkill
- dynamic-trackingSkill
- efficient-explorationSkill
- feasibility-assessmentSkill
- feasibility-synthesisSkill
- feedback-distributionSkill
- full-rankingSkill
- futures-calibrationSkill
- gate-criteria-definitionSkill
- gate-judgmentSkill
- inconsistency-localizationSkill
- iterative-convergence-roundSkill
- judge-verdictSkill
- judgment-collectionSkill
- maturation-pathway-designSkill
- maturity-diagnosisSkill
- method-sensitivity-reportSkill
- The first 60 shown.
The file
Files
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).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

