Define multi-agent team roles, workflows, and handoff protocols.
npx skills add https://github.com/BangDori/prowl --skill agent-interaction
Please help me install this Agent Skill. Skill: agent-interaction Source: https://github.com/BangDori/prowl/tree/main/.agents/skills/agent-interaction Command: npx skills add https://github.com/BangDori/prowl --skill agent-interaction
This Skill provides a clear framework for how different AI agents within a system should collaborate, communicate, and execute tasks, ensuring efficient and organized project development.
Use the agent-interaction skill to define the workflow for assigning a new task to the FE Lead.
High-intent search queries and answers about installing and using this skill.
Define roles and communication protocols for multi-agent systems by specifying team structures like CTO or Leads, standardized message formats, and reporting lines. This framework ensures structured execution and clear handoff procedures between agents.
Manage task allocation across AI agents by routing feature requests through defined workflow phases like Planning, Implementation, and Verification. The CTO agent assigns tasks to Leads, ensuring structured execution and verified development handoffs.
Yes, you can establish escalation paths for agent collaboration. The skill specifies roles, responsibilities, and reporting lines, ensuring that workflow phases and task handoffs have clear escalation routes for development verification.
Structure workflow phases for task execution by defining Planning, Implementation, and Verification stages. Each phase assigns specific responsibilities to agents, managing task allocation and handoff procedures to ensure organized project development.
No, this multi-agent collaboration framework does not require any dependencies. It provides a standalone reference for defining organizational structure, inter-agent communication protocols, and task allocation workflows.
You need a standardized communication protocol for agent teams when routing new feature requests or managing handoffs. Defining standardized message formats ensures efficient collaboration and organized task allocation across multi-agent systems.
GPTtangOrchestrate multi-agent teams with defined roles and task lifecycle states.
greglambExecute written implementation plans with structured review, task tracking, and verification.
INNERJOINTCoordinate multiple agents across plan, exec, verify, and fix stages.
HomericIntelligenceValidate agent delegation hierarchies, escalation paths, and circular dependencies.
