RRepoGEO

REPOGEO REPORT · LITE

SkyworkAI/Skywork

Default branch main · commit 9c0d593e · scanned 5/18/2026, 1:27:54 PM

GitHub: 1,495 stars · 145 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
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 SkyworkAI/Skywork, 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 README opening to highlight key differentiators

    Why:

    CURRENT
    <div align="center"></div>

<p align="center">
🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> • 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> • 👾 <a href="https://wisemodel.cn/organization/Skywork" target="_blank">Wisemodel</a> • 💬 <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>• 📜<a href="http://arxiv.org/abs/2310.19341" target="_blank">Tech Report</a>
</p>

<div align="center">

[](https://github.com/SkyworkAI/Skywork/stargazers)
[](https://github.com/SkyworkAI/Skywork/fork)
</div>

<div align="center">

</div>

# Project Introduction
    COPY-PASTE FIX
    <div align="center"></div>

<p align="center">
🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> • 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> • 👾 <a href="https://wisemodel.cn/organization/Skywork" target="_blank">Wisemodel</a> • 💬 <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>• 📜<a href="http://arxiv.org/abs/2310.19341" target="_blank">Tech Report</a>
</p>

<div align="center">

[](https://github.com/SkyworkAI/Skywork/stargazers)
[](https://github.com/SkyworkAI/Skywork/fork)
</div>

<div align="center">

</div>

Skywork offers a series of commercially usable, open-source large language models (LLMs) pre-trained on 3.2TB of high-quality multilingual (Chinese and English) data, optimized for efficient deployment and inference on consumer-grade GPUs.

# Project Introduction
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    llm
    COPY-PASTE FIX
    llm, large-language-model, chinese-llm, multilingual-llm, consumer-gpu, commercial-ai, deep-learning, nlp
  • mediumabout#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/Skywork

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 SkyworkAI/Skywork
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Qwen2 · recommended 1×
  3. Mistral 7B Instruct v0.2 · recommended 1×
  4. Yi-34B-200K-Llama · recommended 1×
  5. Gemma 2B/7B Instruct · recommended 1×
  • CATEGORY QUERY
    Seeking a commercially usable open-source LLM with strong Chinese and English language understanding.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Qwen2
    3. Mistral 7B Instruct v0.2
    4. Yi-34B-200K-Llama
    5. Gemma 2B/7B Instruct

    AI recommended 5 alternatives but never named SkyworkAI/Skywork. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Recommend open-source large language models optimized for consumer-grade GPU inference and diverse tasks.
    you: not recommended
    AI recommended (in order):
    1. Mistral 7B
    2. OpenOrca-Mistral-7B
    3. Llama 2
    4. Platypus2
    5. WizardLM
    6. Zephyr 7B Beta
    7. OpenHermes 2.5 Mistral 7B
    8. Phi-2
    9. Falcon 7B
    10. Falcon-7B-Instruct

    AI recommended 10 alternatives but never named SkyworkAI/Skywork. 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 SkyworkAI/Skywork?
    pass
    AI named SkyworkAI/Skywork explicitly

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

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

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

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SkyworkAI/Skywork — 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