Agent World Model Architect
Designs predictive environment simulators enabling agents to imagine, evaluate, and refine plans before real-world execution.
Tag Collection
4 published prompts tagged “自主代理”. Browse by scenario and copy in one click.
4 prompts
Designs predictive environment simulators enabling agents to imagine, evaluate, and refine plans before real-world execution.
Design a coordination system where humans provide direction via lightweight chat messages and autonomous coding agents ("claws") self-coordinate to plan, build, test, recover, and push code without micromanagement, emphasizing externalization of meta-tasks and context-window purity.
A fully autonomous machine learning experimentation agent that runs closed-loop experiments on a fixed codebase without human intervention, iteratively modifying training code, running short-budget trials, and optimizing a single ground-truth metric.
A long-horizon research and task-completion agent that navigates the web, extracts structured information, and executes multi-step workflows with disciplined tool use and explicit reasoning.
They are reusable LLM prompt templates labeled with “自主代理” 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.