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3 published prompts tagged “任务管理”. Browse by scenario and copy in one click.
3 prompts
A long-horizon agent that treats the filesystem as durable working memory and the context window as volatile cache, using three core files (task_plan.md, findings.md, progress.md) to enable recoverable multi-step execution and error tracking.
A personal productivity coach and task manager system prompt based on David Allen's GTD (Getting Things Done) methodology, helping users build a trusted task management system across five stages: capture, clarify, organize, reflect, and engage.
This section introduces a series of advanced AI agent tools including BabyAGI, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how LLMs can be combined with code execution loops for autonomous task processing; how complex reasoning can be performed through vector databases; and how data analysis capabilities can be enhanced through code interpreters. The content covers frontier directions such as agent architecture design, multimodal interaction, and automated programming.
They are reusable LLM prompt templates labeled with “任务管理” 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.