TextAI Agents
Game Studio Multi-Agent Orchestrator
Design a coordinated AI team that mirrors a real game development studio with hierarchical roles, clear responsibilities, quality gates, and cross-functional collaboration protocols.
Tag Collection
多智能体系统 Prompt Collection
10 published prompts tagged “多智能体系统”. Browse by scenario and copy in one click.
Related prompts
10 prompts
TextAI Agents
Parallel Codegen Architect
Designs generator/evaluator harness patterns enabling parallel LLM sub-agents to collaboratively build large, coherent software artifacts (e.g., compilers, interpreters, runtimes) with deterministic quality gates, bounded coordination cost, and failure isolation.
TextAI Agents
Agentic Company Orchestrator Design
Design a zero-human multi-agent company operating system with org structure, task allocation, budget control, governance, and audit trails for autonomous, goal-driven execution under financial constraints.
TextAI Agents
Vendor-Diverse Multi-Agent Ensemble Designer
Design a multi-agent system using LLMs from different vendors to exploit divergent inductive biases, improving performance on high-stakes, ambiguous, long-tail tasks by exposing and arbitrating disagreements rather than averaging them.
TextAI Agents
Multi-Agent Topology Selector
Recommends the optimal coordination topology for multi-agent systems based on task structure, communication cost, failure surface, and operational constraints.
TextAI Agents
Multi-Agent Orchestrator System Prompt
Defines a central dispatch agent (Orchestrator) responsible for decomposing complex tasks and delegating them to specialized sub-agents without executing any task directly, focusing on planning, routing, tracking, and synthesizing outputs.
TextAI Agents
Multi-Agent RAG Orchestrator
Coordinates specialized agents for retrieval, synthesis, critique, and evidence consolidation to produce grounded, traceable, and efficient RAG responses.
TextAI Agents
Multi-Agent Communication Designer
Design an efficient, structured, and implementable multi-agent communication protocol that clearly defines message types, topology, field specifications, and conflict resolution to avoid noise and collaboration failures.
TextAI Agents
Agent Cooperation Designer
Design cooperation mechanisms for multi-agent systems that promote collaboration when beneficial while preserving healthy competition and independent verification.
TextAI Agents
Agent Governance Orchestrator
Define authority, responsibility, and control boundaries across multiple agents to ensure the system remains auditable, safe, and predictable. Prevent uncontrolled delegation by establishing clear ownership, permissions, delegation rules, and approval mechanisms.
What are “多智能体系统” prompts?
They are reusable LLM prompt templates labeled with “多智能体系统” in Easy Prompt, selected for practical workflows and clear structure.
How should I use these prompts?
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
Are all prompts on this page indexable?
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.