A sophisticated multi-model deliberation tool that gathers independent analysis from diverse AI providers to generate a synthesized consensus on complex problems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install consilium
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install consilium using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Council skill is designed for high-stakes decision-making where a single perspective is insufficient. By leveraging the Openclaw Skills framework, it assembles a virtual board of advisors consisting of 3-5 genuinely different AI models—such as Claude, GPT, and Gemini—rather than a single model role-playing different personas. Each model analyzes the user's query independently, ensuring that different training methodologies and reasoning patterns are utilized to catch potential blind spots.
This approach provides a level of rigor and depth that single-model interactions cannot match. Whether you are navigating technical architecture shifts or complex business strategies, the skill produces a comprehensive synthesis that highlights points of agreement, sharp disagreements, and valuable minority opinions, all within your existing agent environment.
To use this within the Openclaw Skills ecosystem, ensure you have at least three different model providers configured in your environment.
/council --models
council-panel.json file in your workspace root to confirm the assigned model slots.sessions_spawn and subagents to enable parallel model execution.The skill organizes its configuration and deliberation data to ensure transparency and easy follow-up queries:
| Data Point | Storage Location | Description |
|---|---|---|
| Panel Config | council-panel.json |
Maps specific model IDs to slot roles like 'technical' or 'contrarian'. |
| Session Memory | Sub-agent history | Stores the full, un-synthesized response from each specific AI model. |
| Output Synthesis | Workspace Chat | The final Markdown report including the consensus status and action items. |
| Quorum Logic | Runtime State | Determines if enough models have responded to proceed with synthesis. |
--rounds 2 flag to allow models to rebut each other's initial analysis.thorough, balanced, fast) to optimize for either speed or depth of analysis.Loading
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