RRepoGEO

REPOGEO REPORT · LITE

datawhalechina/agent-skills-with-anthropic

Default branch main · commit 749a0cd7 · scanned 5/13/2026, 1:32:56 PM

GitHub: 1,032 stars · 140 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface datawhalechina/agent-skills-with-anthropic, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    agent-skills, anthropic, claude, deeplearning-ai, chinese-translation, learning-resource, ai-agents, llm-agents, tutorial, education
  • highabout#2
    Refine the repository's 'About' description for clarity

    Why:

    CURRENT
    本项目围绕吴恩达老师在DeepLearning.AI出品的agent-skills-with-anthropic系列课程，为学习者打造中文翻译与知识整理教程。项目提供课程内容翻译、知识点梳理和示例代码解读等内容，欢迎大家Star!
    COPY-PASTE FIX
    吴恩达DeepLearning.AI 'agent-skills-with-anthropic' 课程的官方中文翻译与学习教程。本项目为中文学习者提供课程内容翻译、AI Agent技能知识点梳理和Claude API示例代码解读，是掌握Anthropic AI Agent技能的综合学习资源。
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., LICENSE.md) in the repository root with the text of an appropriate open-source license, such as MIT License.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface datawhalechina/agent-skills-with-anthropic
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Anthropic · recommended 1×
  5. Google · recommended 1×
  • CATEGORY QUERY
    How to develop custom skills for large language model agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Anthropic
    5. Google
    6. Hugging Face `transformers`
    7. Flask
    8. FastAPI
    9. Node.js Express
    10. AWS API Gateway
    11. Azure API Management
    12. Google Cloud Endpoints

    AI recommended 12 alternatives but never named datawhalechina/agent-skills-with-anthropic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive learning resources for building AI agent skills in Chinese.
    you: not recommended
    AI recommended (in order):
    1. 清华大学 (Tsinghua University)
    2. Andrew Ng's courses (Coursera, DeepLearning.AI)
    3. 上海交通大学 (Shanghai Jiao Tong University)
    4. Datawhale 学习社区 (Datawhale Learning Community)
    5. 动手学深度学习 (Dive into Deep Learning)
    6. 知乎 (Zhihu)

    AI recommended 6 alternatives but never named datawhalechina/agent-skills-with-anthropic. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of datawhalechina/agent-skills-with-anthropic?
    pass
    AI did not name datawhalechina/agent-skills-with-anthropic — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts datawhalechina/agent-skills-with-anthropic in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datawhalechina/agent-skills-with-anthropic explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo datawhalechina/agent-skills-with-anthropic solve, and who is the primary audience?
    pass
    AI did not name datawhalechina/agent-skills-with-anthropic — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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