Analyzes AI experiment results and expert debates to determine whether a project should pivot or proceed.
Sibyl Supervisor Decision is an advanced orchestration skill designed for autonomous R&D and experimental workflows within the Sibyl-Codex ecosystem. It acts as an objective gatekeeper by synthesizing data from experiment summaries, project proposals, and multi-agent debates involving optimist, skeptic, and strategist perspectives. By evaluating conflicting viewpoints and empirical results, the skill generates a structured analysis and issues a definitive binary decision to either continue the current path or change direction, significantly reducing human overhead in complex decision-making processes.
주요 기능
01Standardized reporting to local workspace directories
02Comprehensive experiment result evaluation
030 GitHub stars
04Automated synthesis of multi-perspective agent debates
05High-tier agent integration for complex reasoning
06Evidence-based PIVOT or PROCEED decision logic
사용 사례
01Automating the 'go/no-go' decision phase in iterative AI research
02Reducing sunk cost bias in experimental software development
03Mediating between competing AI agent opinions to reach project consensus
