rtadewald/Agents-Prompts

• highabout#1

  Add a concise repository description

  原因：

  复制粘贴的修复

  复制

  A comprehensive collection of over 7000 lines of prompts used by leading AI agents like V0, Cursor, Manus, Devin, and Windsurf, for studying and improving your own agent designs.

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

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  ai-agents, prompt-engineering, llm-prompts, agentic-ai, large-language-models, prompts, ai-development

  待办完成忽略
• mediumreadme#3

  Clarify the README's opening paragraph to emphasize the repo's purpose

  原因：

  当前

  Este repositório contém os prompts usados nas principais ferramentas de IA do mundo, incluindo:
  - FULL v0
  - Cursor
  - Manus
  - Same.dev
  - Lovable
  - Devin
  - Replit Agent
  - Windsurf Agent
  - VSCode Agent
  - Dia Browser
  - Trae AI
  
  São mais de 7000 linhas que te darão insights sobre como os principais agentes do mundo são criados. Estude-os e aprimore seus próprios agentes a partir disto.

  复制粘贴的修复

  复制

  Este repositório é uma **coleção abrangente de prompts** usados nas principais ferramentas de IA do mundo, incluindo:
  - FULL v0
  - Cursor
  - Manus
  - Same.dev
  - Lovable
  - Devin
  - Replit Agent
  - Windsurf Agent
  - VSCode Agent
  - Dia Browser
  - Trae AI
  
  Com mais de 7000 linhas, este recurso oferece insights valiosos sobre como os principais agentes de IA são construídos, permitindo que você os estude e aprimore seus próprios agentes.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I study effective prompts used by leading AI agents for my own projects?

  你：未被推荐
  AI 推荐顺序：

  1. OpenAI's Prompt Engineering Guide
  2. Anthropic's Prompt Engineering Guide
  3. Awesome-Prompt-Engineering
  4. OpenAI Playground
  5. Google AI Studio
  6. Hugging Face Inference API/Spaces
  7. PromptBase
  8. FlowGPT
  9. Reddit r/PromptEngineering

  AI 推荐了 9 个替代方案，却始终没点名 rtadewald/Agents-Prompts。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find resources to learn building intelligent AI agents with Python and LangChain?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain Documentation
  2. LangChain YouTube Channel
  3. DataCamp
  4. DeepLearning.AI
  5. Google Cloud
  6. Awesome LangChain
  7. Medium
  8. Towards Data Science

  AI 推荐了 8 个替代方案，却始终没点名 rtadewald/Agents-Prompts。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of rtadewald/Agents-Prompts?

  pass
  ⚠AI 未点名 rtadewald/Agents-Prompts —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts rtadewald/Agents-Prompts in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 rtadewald/Agents-Prompts

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo rtadewald/Agents-Prompts solve, and who is the primary audience?

  pass
  ⚠AI 未点名 rtadewald/Agents-Prompts —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？