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fleet-doctrine

Model routing strategy for multi-model AI fleet. Use when spawning sub-agents, choosing models for cron jobs, delegating coding tasks, or deciding which model should handle a task. Covers Opus, Codex, Sonnet, Gemini, and Grok routing rules.

Why use this skill?

Optimize your AI agent fleet with Fleet Doctrine. Learn how to route tasks between Opus, Codex, Sonnet, Gemini, and Grok for maximum reasoning, efficiency, and scale.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/jarvis-drakon/fleet-doctrine
Or

What This Skill Does

The fleet-doctrine skill acts as the centralized intelligence and routing architecture for your OpenClaw agent fleet. Instead of relying on a single model for every interaction, this skill provides a structured decision-making framework to match specific task requirements with the strengths of the current top-tier AI models. It governs the orchestration of agents by defining roles for Opus (Command), Codex (Engineering), Sonnet (Operations), Gemini (Context/Vision), and Grok (Parallel/Validation). By implementing this doctrine, you ensure high-stakes tasks receive maximum reasoning capacity while routine, repeatable, and high-volume tasks remain cost-effective and efficient.

Installation

To integrate this routing strategy into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/jarvis-drakon/fleet-doctrine

Use Cases

  • Orchestrating complex project lifecycles by delegating sub-tasks to specialized models.
  • Automating routine cron-based reports using lightweight, efficient models.
  • Managing massive code refactoring projects where Codex handles logic and Grok handles sanity checks.
  • Processing multi-modal data or massive documents exceeding 1M context limits using Gemini.
  • Ensuring executive-level security and financial decisions are reviewed by Opus.

Example Prompts

  1. "Route the repo refactor to the Chief Engineer role and ask Grok to perform a parallel sanity check on the security implications."
  2. "I have an email summary task that needs to run every morning; configure this to use the Sonnet workhorse model."
  3. "Analyze this 500-page regulatory document for potential compliance risks; use Gemini for its high-context capacity."

Tips & Limitations

  • Intent over Rigidity: The doctrine is a guide for intent. If your primary model is unavailable, always prioritize task completion using available resources over total failure.
  • Avoid Over-Spawning: A common anti-pattern is spawning multiple agents for simple tasks. Only use multi-model collaboration when you explicitly require a second opinion or cross-verification.
  • Keep It Simple: Do not waste Opus's high-reasoning capabilities on templated form letters or simple email summaries.
  • Maintenance: Regularly review your routing logic as new model versions are released, as the specific endpoints defined in the doctrine may need periodic updates to maintain optimal performance.

Metadata

Stars1947
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Updated2026-03-04
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-jarvis-drakon-fleet-doctrine": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#ai-agent#model-routing#orchestration#llm-optimization#workflow
Safety Score: 5/5