RRepoGEO

REPOGEO REPORT · LITE

datawhalechina/agent-skills-with-anthropic

Default branch main · commit 602b1843 · scanned 6/17/2026, 6:13:32 PM

GitHub: 1,305 stars · 180 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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:

    COPY-PASTE FIX
    deeplearning-ai-course, agent-skills, anthropic-claude, ai-agents, machine-learning, tutorial, chinese-translation, education, learning-resource
  • highlicense#2
    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 in the root directory to clarify usage rights, choosing a standard open-source license like MIT or Apache-2.0.
  • mediumreadme#3
    Refine the README's opening statement to emphasize its role as a translated course tutorial

    Why:

    CURRENT
    本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
    COPY-PASTE FIX
    本项目是 DataWhale 社区为吴恩达老师在 DeepLearning.AI 平台推出的 `agent-skills-with-anthropic` 系列课程精心打造的**官方中文翻译与学习教程**。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。

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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 1×
  3. AutoGen · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I learn to build effective AI agents using large language models for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. OpenAI Assistants API
    6. CrewAI
    7. Transformers (Hugging Face)

    AI recommended 7 alternatives but never named datawhalechina/agent-skills-with-anthropic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find structured learning materials and translated tutorials for mastering AI agent skills?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Generative AI with Large Language Models" Specialization on Coursera
    2. LangChain
    3. Hugging Face Transformers Library
    4. OpenAI API

    AI recommended 4 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?

Embed your GEO score

Drop this badge into the README of datawhalechina/agent-skills-with-anthropic. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/datawhalechina/agent-skills-with-anthropic.svg)](https://repogeo.com/en/r/datawhalechina/agent-skills-with-anthropic)
HTML
<a href="https://repogeo.com/en/r/datawhalechina/agent-skills-with-anthropic"><img src="https://repogeo.com/badge/datawhalechina/agent-skills-with-anthropic.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

datawhalechina/agent-skills-with-anthropic — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
datawhalechina/agent-skills-with-anthropic — RepoGEO report