System Prompt Generator (Advanced)
A professional-grade prompt engineering template for generating high-quality system prompts, emphasizing logical reasoning chains, task decomposition, and error prevention mechanisms.
Tag Collection
6 published prompts tagged “任务分解”. Browse by scenario and copy in one click.
6 prompts
A professional-grade prompt engineering template for generating high-quality system prompts, emphasizing logical reasoning chains, task decomposition, and error prevention mechanisms.
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.
A meta-prompt enabling collaborative problem-solving by orchestrating multiple domain-specific experts, with support for code execution and answer verification.
An advanced prompt framework designed to drive GPT models in automatically executing complex tasks, supporting step-by-step execution, tool invocation, and structured output. Ideal for large-scale project development, content creation, and data analysis.
They are reusable LLM prompt templates labeled with “任务分解” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
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.