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

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 1×
AutoGen · recommended 1×
Haystack · recommended 1×
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

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MARKDOWN (README)

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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