RRepoGEO

REPOGEO REPORT · LITE

therealXiaomanChu/ex-skill

Default branch main · commit a7c06380 · scanned 5/8/2026, 11:02:47 AM

GitHub: 5,059 stars · 493 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 therealXiaomanChu/ex-skill, 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
  • highreadme#1
    Reposition the core project description to the very top of the README

    Why:

    CURRENT
    # 前任.skill

> *"你们搞大模型的简直是码神，你们解放了前端兄弟，还要解放后端兄弟，测试兄弟，运维兄弟，解放网安兄弟，解放ic兄弟，最后解放自己解放全人类"我会为了你一万次回到那个夏天。**

[](LICENSE)
[](https://python.org)
[](https://claude.ai/code)
[](https://agentskills.io)

 

提供前任的原材料（微信聊天记录、QQ消息、朋友圈截图、照片）加上你的主观描述  
生成一个**真正像ta的 AI Skill**  
用ta的口头禅说话，用ta的方式回复你，记得你们一起去过的地方
    COPY-PASTE FIX
    # 前任.skill

提供前任的原材料（微信聊天记录、QQ消息、朋友圈截图、照片）加上你的主观描述，生成一个**真正像ta的 AI Skill**。用ta的口头禅说话，用ta的方式回复你，记得你们一起去过的地方。本项目旨在帮助用户创建个性化的AI伴侣或数字分身，以模拟特定人物的沟通风格和记忆。

> *"你们搞大模型的简直是码神，你们解放了前端兄弟，还要解放后端兄弟，测试兄弟，运维兄弟，解放网安兄弟，解放ic兄弟，最后解放自己解放全人类"我会为了你一万次回到那个夏天。**

[](LICENSE)
[](https://python.org)
[](https://claude.ai/code)
[](https://agentskills.io)
  • hightopics#2
    Add specific, relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-persona, digital-twin, large-language-models, llm, claude-ai, agent-skills, chatbot, memory, emotional-support, chinese-nlp
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/therealXiaomanChu/ex-skill

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 therealXiaomanChu/ex-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Hugging Face Transformers Library · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Microsoft Azure OpenAI Service · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How can I create a personalized AI assistant that mimics a specific person's communication style?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers Library
    3. Google Cloud Vertex AI
    4. Microsoft Azure OpenAI Service
    5. LangChain
    6. LlamaIndex
    7. ElevenLabs
    8. Resemble AI

    AI recommended 8 alternatives but never named therealXiaomanChu/ex-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to build an AI persona from chat logs, photos, and descriptive text?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers (huggingface/transformers)
    3. Google Cloud Vision AI
    4. Amazon Rekognition
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Chroma (chroma-core/chroma)
    8. Python
    9. spaCy (explosion/spaCy)
    10. NLTK (nltk/nltk)
    11. scikit-learn (scikit-learn/scikit-learn)
    12. Neo4j (neo4j/neo4j)
    13. ArangoDB (arangodb/arangodb)
    14. LangChain (langchain-ai/langchain)
    15. LlamaIndex (run-llama/llama_index)

    AI recommended 15 alternatives but never named therealXiaomanChu/ex-skill. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 therealXiaomanChu/ex-skill?
    pass
    AI named therealXiaomanChu/ex-skill explicitly

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

  • If a team adopts therealXiaomanChu/ex-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named therealXiaomanChu/ex-skill 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 therealXiaomanChu/ex-skill solve, and who is the primary audience?
    pass
    AI named therealXiaomanChu/ex-skill explicitly

    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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therealXiaomanChu/ex-skill — 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