Coordinate multi-agent debate and evidence grounding for high-stakes questions.
npx skills add https://github.com/ericbuess/claude-skills --skill ai-board
Please help me install this Agent Skill. Skill: ai-board Source: https://github.com/ericbuess/claude-skills/tree/main/ai-board-skill/ai-board Command: npx skills add https://github.com/ericbuess/claude-skills --skill ai-board
When facing high-stakes, complex questions across diverse domains (medical, theological, philosophical, technical), achieving maximum accuracy and confidence is paramount. This Skill automates a rigorous, multi-agent reasoning process to deliver expert-level analysis, eliminating the risk of overconfident wrongness.
Use the ai-board skill for a deep analysis of the ethical implications of advanced AI in healthcare, ensuring maximum accuracy and considering all philosophical and practical dimensions.
High-intent search queries and answers about installing and using this skill.
Multi-agent reasoning coordinates specialized agent personas to analyze, debate, and validate conclusions from diverse viewpoints. The ai-board Skill deploys medical oncologists, theologians, ethicists, and adversarial validators to stress-test high-stakes decisions, ensuring 95%+ confidence through structured multi-phase reasoning.
Evidence grounding integrates external validation—literature search, logical consistency checks, self-consistency verification—to ensure conclusions are robust and well-supported. The ai-board automatically verifies findings against available evidence and surfaces confidence levels for each recommendation.
Yes. The ai-board implements domain-adaptation patterns that dynamically select reasoning techniques (multi-agent debate, adversarial validation, Tree of Thoughts) based on question domain and complexity, making it applicable across medical, theological, philosophical, and technical decision-making.
Adversarial validation deploys agents that intentionally challenge and critique proposed solutions, exposing weak reasoning and hidden assumptions. This five-phase workflow—analysis, debate, adversarial validation, evidence grounding, and structured output—eliminates overconfident wrongness in critical decisions.
The ai-board delivers calibrated confidence scoring, targeting 95%+ confidence for recommendations in medical, theological, philosophical, and technical domains. Confidence levels are explicit and tied to evidence grounding and multi-agent consensus.
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