Orchestrate a configurable multi-LLM council with governance gates and budget caps.
npx skills add https://github.com/mhdxbilal/Ai --skill skill-council
Please help me install this Agent Skill. Skill: skill-council Source: https://github.com/mhdxbilal/Ai/tree/main/skills/skill-council Command: npx skills add https://github.com/mhdxbilal/Ai --skill skill-council
Council-based decision-making for complex tasks by coordinating multiple AI providers to improve accuracy, reduce bias, and provide governance with vetoes and handoff options.
Provide a clear task to the council, then run /octo:council to obtain a synthesized strategy with governance gates and optional handoff.
High-intent search queries and answers about installing and using this skill.
You coordinate multiple LLMs for architecture guidance by configuring a multi-model council with specific personas, budget caps, and governance gates to synthesize consensus-based guidance.
Multi-LLM governance aggregates outputs from different models to surface disagreements and apply veto gates, reducing bias and improving accuracy during security reviews.
You set up budget caps and personas by configuring the orchestration runner before execution, defining specific model behaviors and execution limits to enforce governance gates.
Yes, you can use a multi-LLM council for risk assessment in product development by orchestrating model opinions to provide vetoes and optional implementation handoff.
The best way to handle AI model disagreements is using synthesis and veto gates, which aggregate outputs, surface conflicts, and allow a final decision or implementation handoff.
Yes, the council workflow supports interactive clarification before generating a synthesized strategy, ensuring the multi-LLM consensus accurately addresses the provided task.
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