Multi Agent Brainstorming
Facilitates dynamic brainstorming sessions between multiple AI agents to generate innovative solutions and diverse perspectives.
Install on your platform
We auto-selected Claude Code based on this skillβs supported platforms.
Run in terminal (recommended)
claude mcp add hainamchung-multi-agent-brainstorming npx -- -y @trustedskills/hainamchung-multi-agent-brainstorming
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"hainamchung-multi-agent-brainstorming": {
"command": "npx",
"args": [
"-y",
"@trustedskills/hainamchung-multi-agent-brainstorming"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill orchestrates multiple AI agents to collaboratively brainstorm solutions or ideas. It divides a complex problem into smaller tasks, assigns them to specialized agents, and aggregates their responses for a more comprehensive outcome than a single agent could achieve. The resulting output is synthesized into a cohesive final product.
When to use it
- Generating diverse marketing campaign concepts for a new product launch.
- Developing creative solutions for a challenging engineering problem.
- Brainstorming potential features for a software application, leveraging different areas of expertise.
- Exploring various approaches to writing a novel or screenplay.
Key capabilities
- Task decomposition and assignment to specialized agents
- Agent orchestration and communication
- Response aggregation and synthesis
- Generation of comprehensive brainstorming output
Example prompts
- "Brainstorm five new features for our mobile app, assigning different agents to consider user experience, security, and monetization."
- "Generate marketing campaign ideas for a sustainable clothing brand. Assign one agent to focus on social media, another on influencer outreach, and a third on traditional advertising."
- βLet's brainstorm plot twists for my fantasy novel. One agent should focus on character motivations, another on world-building implications, and the last on narrative tension.β
Tips & gotchas
The effectiveness of this skill depends on clearly defining the problem and assigning appropriate roles to each AI agent. Be prepared to refine prompts and adjust agent assignments if initial results are not satisfactory.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
π Community
Passed automated security scans.