A sophisticated prompting framework that simulates a multi-expert panel to provide diverse viewpoints and consensus for complex decision-making.
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npx clawhub@latest install jz-roundtable
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Roundtable is a multi-perspective decision analysis framework designed to eliminate cognitive bias and identify blind spots in AI-driven workflows. Instead of relying on a single linear response, this skill simulates a panel of specialized experts—such as Risk Guardians, Technical Architects, and Growth Strategists—to stress-test ideas and build robust strategies. It is an essential component within the Openclaw Skills ecosystem for users who require high-confidence outcomes for critical tasks.
By executing directly within the main session, Roundtable avoids the overhead of subagent spawning, ensuring faster response times while maintaining full conversational context. It transforms a simple query into a structured debate, culminating in a synthesized consensus and actionable checklists, making it ideal for everything from code architecture reviews to financial risk assessment.
Roundtable is a prompt-based skill that operates within the main execution session. To use it with Openclaw Skills, ensure the skill definition is available in your agent's library. There is no need for environment isolation or subagent spawning.
# To trigger the analysis, simply use the keyword in your prompt:
roundtable "Should we deploy the new API Gateway to production today?"
The skill produces a structured Markdown output designed for clarity and tracking:
| Section | Content Description |
|---|---|
| Discussion Rounds | Emoji-labeled expert viewpoints organized into two distinct rounds of dialogue. |
| Consensus | A synthesized final recommendation summarizing the collective expert opinion. |
| Action Items | A checklist (- [ ]) of specific tasks required to implement the decision safely. |
| Priority Score | (Optional) A calculated ranking: (impact * 0.4) + (confidence * 0.35) + ((100 - effort) * 0.25). |
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