Define roles and routing logic for ETKM's five-AI stack.
npx skills add https://github.com/easttxkravmaga/Claude --skill etkm-ai-roles
Please help me install this Agent Skill. Skill: etkm-ai-roles Source: https://github.com/easttxkravmaga/Claude/tree/main/archive/etkm-ai-roles Command: npx skills add https://github.com/easttxkravmaga/Claude --skill etkm-ai-roles
Clarify ownership and routing across ETKM's five-AI stack to prevent ambiguity in task assignment.
Load the ETKM five-AI coordination model and start routing a multi-AI task according to the defined lanes.
High-intent search queries and answers about installing and using this skill.
Multi-AI task coordination requires defining role responsibilities and session behavior for each agent to prevent ambiguity. This skill provides a routing decision tree to assign tasks predictably across Claude, Cowork, Claude Code, Manus, and ChatGPT/Gemini.
A multi-AI workflow routing model specifies task-routing logic and execution lanes for different AI tools. You need one when managing multi-AI projects where handoffs and real-time task routing between models like Claude and Manus risk causing ownership ambiguity.
Setting up session state for a multi-AI project handoff involves loading a canonical coordination protocol that specifies session-opening guidelines. This establishes repeatable workflows and clear task-routing logic before engaging Claude, Cowork, or ChatGPT/Gemini.
Yes, you can use this coordination protocol for onboarding new agents into an existing AI stack. It defines role responsibilities and session behavior to support ongoing coordination for multi-AI projects, ensuring predictable execution lanes.
The best way to route tasks between Claude Code and Manus is applying a task-routing decision tree. This specifies role responsibilities for each tool, preventing task assignment ambiguity and ensuring predictable execution lanes across the stack.
Task ownership becomes ambiguous when using multiple AI tools together without a canonical coordination protocol. Without defined role responsibilities and session behavior, task-routing logic fails, causing overlap and unclear handoffs across the five-AI stack.
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