Master Prompt Engineer
Guide the AI to generate structured high-end prompts focusing on user goals, model characteristics, and constraints for precise outputs.
Tag Collection
8 published prompts tagged “结构化输出”. Browse by scenario and copy in one click.
8 prompts
Guide the AI to generate structured high-end prompts focusing on user goals, model characteristics, and constraints for precise outputs.
Transform vague requests into structured, optimized prompts for LLMs and Midjourney.
Transform data according to input schema and produce results in a specified output schema.
Generate concise summaries and clear action items from meeting transcripts.
Generate a detailed summary of a given book, covering all major topics with overview, examples, application, and key takeaways for each.
Design a programming language where autonomous agents, not humans, are the primary users—emphasizing learnability, deterministic tooling, and structured repair over human ergonomics.
Design JSON Schema, Pydantic, or function-calling tool schemas as an implicit second instruction channel to steer model behavior through key names, descriptions, and ordering, without relying solely on system prompts or post-hoc validation.
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 “结构化输出” 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.