dbs-chatroom

Route user topics to predefined specialists and simulate multi-expert discussions.

9.4k|1.1k|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-chatroom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dbs-chatroom
Source: https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-chatroom
Command: npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-chatroom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

将话题快速转化为多专家对话场景,支持用户指定专家或自动推荐专家并生成多视角讨论。

Core Features & Use Cases

  • 定向专家对话:根据话题召集或推荐 3-5 位专家,形成多视角讨论。
  • 即时对话生成:在经过确认后,使用 Agent tool 并行调用多个专家,输出各自的观点。
  • 判官总结:汇总专家观点,给出可执行的判断与行动建议。

Quick Start

只需输入话题即可触发定向聊天室,或以 /dbs-chatroom 指定专家名单启动对话。

Frequently Asked Questions about dbs-chatroom

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate multi-agent expert dialogues on a specific topic?

You can simulate multi-agent discussions by inputting a topic, which routes the subject to recommended or user-specified experts who each deliver substantive content before a final judge summary aggregates the dialogue.

Can I specify which experts participate in the multi-expert chatroom?

You can specify participating experts by providing a custom list via the /dbs-chatroom command, or let the skill automatically recommend 3 to 5 specialists based on your input topic.

How does the judge summary work in a multi-agent simulated discussion?

The judge summary works as an adjudicative aggregation step that compiles each expert's roughly 200-word substantive input into actionable judgments and practical recommendations.

What is the required length of each expert's response in a directed chatroom?

The required length of each expert's response in a directed chatroom is roughly 200 words, ensuring every specialist delivers substantive content before the final aggregation step.

Do I need to install any dependencies to run parallel expert agent calls?

No dependencies are required to run parallel expert agent calls, as the skill operates with an empty dependency list and orchestrates the multi-agent prompts directly within the environment.