Gather independent AI responses to a shared question via a consensus CLI.
npx skills add https://github.com/tkstang/skills --skill panel-tkstang
Please help me install this Agent Skill. Skill: panel Source: https://github.com/tkstang/skills/tree/main/plugins/consensus/skills/panel Command: npx skills add https://github.com/tkstang/skills --skill panel-tkstang
This Skill facilitates gathering diverse perspectives and insights from multiple AI panelists, addressing complex questions or challenges independently.
To run a panel discussion on the question 'What are the risks in this design?', use the 'panel' skill with the command: node ./scripts/consensus-panel.mjs --question-file references/examples/design-risk-question.md --panelists claude,codex --output panel.md
High-intent search queries and answers about installing and using this skill.
To get multiple AI perspectives on a single design question, you can run a multi-peer consensus panel. This approach engages multiple AI providers to generate independent responses to your shared question, allowing you to gather diverse insights before moving forward.
Building consensus among different AI models involves querying multiple AI providers independently for a shared question. A neutral moderator then presents the individual responses and collective insights without synthesizing them, ensuring an unbiased multi-party consensus.
Yes, you need Node.js 22+ and a configured consensus CLI to run an AI panel discussion. These prerequisites handle the script execution needed to engage multiple AI peers and manage various states of panelist availability.
You start a panel discussion with specific AI providers by running the consensus panel script via Node.js. Use the command line to pass your question file, specify the panelists (like claude or codex), and define the output markdown file.
No, AI responses are not synthesized during a multi-peer panel discussion. The Skill maintains a neutral moderator stance, presenting individual responses and collective insights independently to help you evaluate potential design risks comprehensively.
If AI panelists are unavailable during the consensus process, the Skill handles various states of panelist availability. It ensures the multi-peer discussion continues by managing these states and providing a summary of the responses that were successfully gathered.
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