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.