Debate Learning Workflow

Agents
LearningMulti Agent

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

Install

openclaw skills install @kdylan1010-alt/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.