Evaluate decision options through diverse reasoning agents with forced dissent.
npx skills add https://github.com/bogdanbaciu21/skills --skill deep-decide
Please help me install this Agent Skill. Skill: deep-decide Source: https://github.com/bogdanbaciu21/skills/tree/main/deep-decide Command: npx skills add https://github.com/bogdanbaciu21/skills --skill deep-decide
This Skill aids in making informed decisions by providing a diverse set of perspectives and evidence across multiple models and research sources.
Run the deep-decide skill with the decision text and options, e.g., "Should we proceed with the new project?" and "Option 1: Proceed", "Option 2: Delay".
High-intent search queries and answers about installing and using this skill.
Multi-model analysis evaluates decision options through a panel of diverse reasoning agents, including cross-model dissent and evidence-driven research, to provide comprehensive perspectives and a synthesized verdict for complex scenarios.
Cross-model dissent ensures each perspective, such as operator or skeptic, critically analyzes its own recommendation and presents dissenting views, which are then combined into a single well-reasoned conclusion with considered assumptions.
Optional API keys for multiple LLM providers enhance the research integration process, but the Skill operates using the Python standard library, allowing basic decision evaluation without mandatory external provider authentication.
Analyzing decision options from different perspectives is best achieved by evaluating them through independent agents like operator, skeptic, finance, and stakeholder, ensuring a synthesized verdict that incorporates evidence-driven research.
Yes, you can gather evidence for critical business decisions by utilizing a catalog of research providers integrated into the decision-making process, supporting the evaluation of options with comprehensive, evidence-driven data.
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