Routes chat @mentions to specialized agent personas for filtered responses.
npx skills add https://github.com/MaxGiu67/plugin-MUCC --skill bs-chat
Please help me install this Agent Skill. Skill: bs-chat Source: https://github.com/MaxGiu67/plugin-MUCC/tree/main/brainstorming/skills/bs-chat Command: npx skills add https://github.com/MaxGiu67/plugin-MUCC --skill bs-chat
Enables users to converse directly with specialized brainstorming agents by mentioning @name, removing friction from getting focused, in-character feedback, critiques, and synthesis during ideation and pre-analysis sessions.
Start a brainstorming agent chat about API architecture and ask @Nicola for a critical review.
High-intent search queries and answers about installing and using this skill.
You can chat with specialized brainstorming agents by mentioning @name in your message, which routes your query to receive targeted in-character feedback, critiques, or synthesis.
Yes, the brainstorming chat supports multiple agents in the same session, preserving active agent context so personas can respond sequentially or challenge each other's perspectives.
The chat provides simple heuristic suggestions for agent selection based on topic keywords, automatically recommending relevant personas and loading their full profiles from reference files.
Yes, the agent chat is designed for ad-hoc Q&A, ideation, and pre-analysis meetings, allowing you to invoke specialized personas whenever you need targeted in-character feedback.
Multi-agent replies allow you to ask one agent for a critical review and another for synthesis, capturing contrasting perspectives and next-step recommendations within the same session state.
The agent selection uses simple heuristic suggestions based on topic keywords, which may not always identify the most nuanced persona for complex ideation tasks without manual @name invocation.
rahmatullahbossLoad external persona files and execute activation protocols for agent role embodiment.
aquariuscookAnalyze DORA metrics, incident reports, and telemetry data to determine production health.
sanskarbasnetRecord session context notes with blockers and next steps to the brain.
hvkshetryScore request complexity and route tasks to primary and secondary personas.
