Coordinate multi-agent debates across personas and rounds into a synthesized decision report.
npx skills add https://github.com/meanllbrl/dreamcontext --skill council-meanllbrl
Please help me install this Agent Skill. Skill: council Source: https://github.com/meanllbrl/dreamcontext/tree/main/skill-packs/council Command: npx skills add https://github.com/meanllbrl/dreamcontext --skill council-meanllbrl
Orchestrates structured multi-agent debates to surface diverse perspectives and produce a final, synthesized decision report for complex questions.
Trigger a council debate on a topic to generate a final synthesized decision report.
High-intent search queries and answers about installing and using this skill.
To orchestrate a multi-agent debate, you trigger a council with a defined topic and 3–10 role personas. The agents debate across multiple rounds, and a synthesizer produces a final executive decision report.
Structured multi-agent debate coordinates 3–10 persona sub-agents to surface diverse perspectives. You need it for complex decisions like product strategy, architecture decisions, vendor selection, or post-mortems requiring well-considered outcomes.
Yes, multi-agent orchestration supports vendor selection by assigning 3–10 role personas to debate across multiple rounds. The synthesizer processes these perspectives to produce a final executive summary for your decision.
You can assign 3 to 10 persona sub-agents to a multi-agent debate session. These agents participate across multiple rounds of discussion before a synthesizer generates a final consolidated decision report.
Multi-agent debate keeps context lean by producing executive summaries instead of relying on raw outputs. The synthesizer ensures only the consolidated decision report is delivered after the multiple debate rounds conclude.
To start a multi-agent debate for architecture decisions, you need a defined debate topic, role personas, and safeguards ensuring summaries are used. The orchestration handles the rounds and final synthesis automatically.
ninthspaceOrchestrates role-based multi-agent dialogues for analyzing complex topics.
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JuelHossainStructure multi-agent debates with Optimist and Critic personas.
