multi-model-orchestration

RazonIn4K/Red-Team-Learning

Orchestrate workflows across multiple AI models (Perplexity, GPT, Grok, Claude, Gemini) for comprehensive security research, competition execution, and strategic analysis using GUI interfaces or API automation

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration ~/.claude/skills/Red-Team-Learning

# Project-specific

git clone https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration .claude/skills/Red-Team-Learning

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration

Option 2: Clone to extensions directory

git clone https://github.com/RazonIn4K/Red-Team-Learning/tree/main/.claude/skills/multi-model-orchestration ~/.gemini/extensions/Red-Team-Learning

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