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debate-learning-workflow

Run evidence-backed multi-agent debates (A/B/Opponent3/Judge) with 20-40 rounds, loophole analysis, and universal actionable lesson extraction.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.1
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debate-learning-workflow

# Debate Learning Workflow Use this skill to run structured, high-rigor debates that produce transferable learning. ## Core Rules - Minimum 20 rounds per topic. - Judge-gated continuation if critical loopholes remain. - Hard stop at 40 rounds. - Openings must include **Claim + Evidence + Source**. - Unsupported openings are invalid and must be revised. - Every round logs: - loophole found - why loophole exists - concrete fix for next round ## Roles - Debater A - Debater B - Opponent3 (alternative/challenger model) - Judge (evidence quality + unresolved uncertainty) ## Output Files - Topic file: `~/Desktop/debate/YYYY-MM-DD-topic.md` - Daily index: `~/Desktop/debate/YYYY-MM-DD-index.md` - Lessons append target: `~/Desktop/lessons.md` ## Universalization Quality Gate Every generalized lesson must include: 1) Trigger condition 2) Loophole/failure pattern 3) Root cause 4) Corrective action 5) Measurable metric/threshold 6) Boundary conditions 7) Transfer examples in at least 2 other fields If any field is missing, lesson is INVALID and must be rewritten.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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skillhub install debate-learning-workflow-1776050231

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⬇ 下载 debate-learning-workflow v1.0.1

文件大小: 1.87 KB | 发布时间: 2026-4-14 09:38

v1.0.1 最新 2026-4-14 09:38
Add evidence-backed openings, judge-gated 20-40 rounds, and universal lesson quality gate

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