REPOGEO 报告 · LITE
thinkingjimmy/Learning-Prompt
默认分支 main · commit b048da25 · 扫描时间 2026/6/29 15:38:05
星标 5,321 · Fork 396
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 thinkingjimmy/Learning-Prompt 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- hightopics#1Remove misleading topic and add course-specific ones
原因:
当前prompt, prompt-engineering, prompt-toolkit
复制粘贴的修复prompt, prompt-engineering, online-course, generative-ai-course, chatgpt-tutorial, midjourney-tutorial
- highreadme#2Strengthen README's opening to emphasize 'online course' structure
原因:
当前This tutorial has three parts. The content covers my journey of learning Prompt Engineering, summarizing some of the experiences and methods. If you are learning Prompt Engineering, I hope this tutorial can help.
复制粘贴的修复This free online course on Prompt Engineering is structured into three parts, covering my journey of learning and summarizing key experiences and methods. If you are looking for a comprehensive curriculum to learn Prompt Engineering, this course is designed to help.
- mediumlicense#3Clarify existing license in README
原因:
复制粘贴的修复This project is licensed under [Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0 terms']. Please refer to the `LICENSE` file for full details.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- DeepLearning.AI's "Prompt Engineering for Developers" · 被推荐 1 次
- Google's "Introduction to Generative AI" · 被推荐 1 次
- Vanderbilt University's "Prompt Engineering for ChatGPT" · 被推荐 1 次
- edX's "Prompt Engineering: How to Talk to AI" · 被推荐 1 次
- Learn Prompting · 被推荐 1 次
- 品类问题Where can I find a comprehensive free course on prompt engineering for AI applications?你:未被推荐AI 推荐顺序:
- DeepLearning.AI's "Prompt Engineering for Developers"
- Google's "Introduction to Generative AI"
- Vanderbilt University's "Prompt Engineering for ChatGPT"
- edX's "Prompt Engineering: How to Talk to AI"
- Learn Prompting
- Kaggle's "Introduction to Large Language Models"
AI 推荐了 6 个替代方案,却始终没点名 thinkingjimmy/Learning-Prompt。这就是要补上的差距。
查看 AI 完整回答
- 品类问题How do I learn to effectively prompt generative AI models for text and image creation?你:未被推荐AI 推荐顺序:
- OpenAI's Prompt Engineering Guide
- LearnPrompting.org
- Midjourney
- PromptBase
- DALL-E 2/3
- Stable Diffusion
AI 推荐了 7 个替代方案,却始终没点名 thinkingjimmy/Learning-Prompt。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesspass
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of thinkingjimmy/Learning-Prompt?passAI 明确点名了 thinkingjimmy/Learning-Prompt
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 thinkingjimmy/Learning-Prompt in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 thinkingjimmy/Learning-Prompt
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 thinkingjimmy/Learning-Prompt solve, and who is the primary audience?passAI 未点名 thinkingjimmy/Learning-Prompt —— 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?
嵌入你的 GEO 徽章
把这个徽章贴进 thinkingjimmy/Learning-Prompt 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/thinkingjimmy/Learning-Prompt)<a href="https://repogeo.com/zh/r/thinkingjimmy/Learning-Prompt"><img src="https://repogeo.com/badge/thinkingjimmy/Learning-Prompt.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
thinkingjimmy/Learning-Prompt — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3