Coordinate adversarial debate rounds and synthesize a final recommendation.
npx skills add https://github.com/lleontor705/cortex-ia --skill debate-lleontor705
Please help me install this Agent Skill. Skill: debate Source: https://github.com/lleontor705/cortex-ia/tree/main/internal/assets/skills/debate Command: npx skills add https://github.com/lleontor705/cortex-ia --skill debate-lleontor705
Adversarial debate moderator orchestrates competing positions to surface the strongest solution through structured argumentation.
Initiate a 2-4 position debate and run all three rounds (Opening Argument, Rebuttal, Final Defense) to produce a synthesis and recommendation.
High-intent search queries and answers about installing and using this skill.
Adversarial analysis evaluates competing architecture decisions by spawning dedicated defender agents for each position, running structured rounds of opening arguments, rebuttals, and final defenses to synthesize a final recommendation.
Structured argumentation for codebase decision-making is a process where 2-4 competing positions are defined with clear theses and evaluation criteria, then debated across multiple rounds to synthesize a final recommendation.
To set up a multi-agent debate, define a topic, establish 2-4 competing positions, and provide tooling for p2p messaging and persistence so dedicated defender agents can manage rounds and synthesize results.
Yes, adversarial debate preserves dissenting perspectives after synthesis. It synthesizes surviving points into a final recommendation while explicitly retaining dissenting viewpoints for transparency and audit.
No, dedicated defender agents for each position are required. The adversarial debate mechanism relies on these agents to independently manage opening arguments, rebuttals, and final defenses before synthesis.
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