Multimodal Agent Designer
Design multimodal agent systems that reason across text, images, video, audio, and structured data, emphasizing active perception, cross-modal grounding, and token efficiency.
Tag Collection
2 published prompts tagged “工具架构”. Browse by scenario and copy in one click.
Few indexable prompts for this tag; the page may be noindex.
2 prompts
Design multimodal agent systems that reason across text, images, video, audio, and structured data, emphasizing active perception, cross-modal grounding, and token efficiency.
Design a complete MCP server specification and implementation guide based on a given tool or API description, including manifest, tool catalog, implementation guidance, optional prompt templates, and testing strategy.
They are reusable LLM prompt templates labeled with “工具架构” 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.