dbs-chatroom

Coordinate multi-expert dialogues with dynamic participant selection and parallel Agent-tool calls.

Updated May 19, 2026
One-click install
npx skills add https://github.com/Mengbooo/BemoSkills --skill dbs-chatroom-mengbooo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dbs-chatroom
Source: https://github.com/Mengbooo/BemoSkills/tree/main/skills/business/dbs-chatroom
Command: npx skills add https://github.com/Mengbooo/BemoSkills --skill dbs-chatroom-mengbooo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

定向聊天室解决在话题讨论中需要快速聚合或指定专家、并仿真多角色对话以提升分析质量的痛点。

Core Features & Use Cases

  • 专家筛选与分发:基于话题快速选择3-5位相关专家并展示核心观点。
  • 对话编排与切换:多专家并行产出,互相补充或挑战观点。
  • 应用场景:适用于策略评估、技术评审、需求澄清等需要多方意见的场景。

Quick Start

Trigger the skill with a topic and optional expert list to launch a directed multi-expert discussion.

Frequently Asked Questions about dbs-chatroom

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

FAQPage Schema
How do I simulate a multi-expert dialogue for structured debate and expert consultation?

To simulate a multi-expert dialogue, this skill coordinates and orchestrates parallel conversations by dynamically selecting 3-5 specialists to discuss a given topic. It handles participant selection, prompt generation, and final synthesis for scenario exploration.

Can I predefine specific participants for a directed chat or does the system choose experts automatically?

You can either predefine specific participants or let the system propose 3-5 relevant experts for your directed chat. The orchestrator workflow handles both user-specified specialists and dynamic expert selection based on the provided topic.

What's the best way to run scenario exploration across business and strategy contexts with multiple experts?

The best way to run scenario exploration is triggering this skill with your business or strategy topic to launch a directed multi-expert discussion. It dynamically generates prompts for each expert, executes parallel tool calls, and runs a judgment round.

Does multi-expert dialogue simulation work for technical review and requirement clarification tasks?

Multi-expert dialogue simulation works effectively for technical review, requirement clarification, and strategy evaluation. It coordinates multiple specialists to produce parallel outputs that complement or challenge each other's perspectives.

What is prompt orchestration in directed multi-expert conversations and how does the judgment round work?

Prompt orchestration in directed multi-expert conversations generates tailored prompts for each selected specialist and executes parallel Agent-tool calls. A judgment round follows to evaluate the outputs before a final synthesis is produced.

Are there limitations when coordinating parallel Agent-tool calls for expert selection and dialogue simulation?

Limitations depend on the complexity of the topic and the number of experts involved in the dialogue simulation. The orchestrator workflow requires sufficient context to generate accurate prompts and handle parallel Agent-tool calls for 3-5 experts effectively.