RRepoGEO

REPOGEO REPORT · LITE

partme-ai/full-stack-skills

Default branch main · commit 064ace5d · scanned 6/16/2026, 1:03:08 PM

GitHub: 507 stars · 84 forks

AI VISIBILITY SCORE
28 /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
2 / 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 partme-ai/full-stack-skills, 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
  • highabout#1
    Clarify primary audience as 'AI Coding Agents' in GitHub Description and README intro

    Why:

    CURRENT
    这是一个免费的全栈开发所需的技能市场，提供各种实用的 AI 技能集合，支持多种平台。
    COPY-PASTE FIX
    面向 AI 编码智能体的全栈技能导航站：提供 460+ 个可按需加载的专业 Agent Skills，解决上下文溢出和领域知识不足问题。
  • highreadme#2
    Update README H1 and introductory sentence to explicitly mention 'AI Coding Agents'

    Why:

    CURRENT
    # Full Stack Skills

**460+ 个 Agent Skills。42+ 个技能包。一个统一生态。前端 · 后端 · 移动端 · DevOps · AI 设计工具 — 生产级品质，独立安装。*
    COPY-PASTE FIX
    # Full Stack Skills: 面向 AI 编码智能体的 Agent Skills 导航站

**为 AI 编码智能体提供 460+ 个专业 Agent Skills。42+ 个可独立安装的技能包。一个统一生态。前端 · 后端 · 移动端 · DevOps · AI 设计工具 — 生产级品质，按需加载。*
  • mediumhomepage#3
    Add `https://agentskills.io` as the repository homepage

    Why:

    COPY-PASTE FIX
    https://agentskills.io

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 partme-ai/full-stack-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. TensorFlow · recommended 1×
  3. Keras · recommended 1×
  4. TensorFlow Lite · recommended 1×
  5. TensorFlow Extended (TFX) · recommended 1×
  • CATEGORY QUERY
    Need to expand my AI coding agent's knowledge with specific development frameworks and tools.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. Keras
    3. TensorFlow Lite
    4. TensorFlow Extended (TFX)
    5. PyTorch
    6. Hugging Face Transformers
    7. scikit-learn
    8. OpenAI Gym
    9. MLflow

    AI recommended 9 alternatives but never named partme-ai/full-stack-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to manage AI agent context window while providing extensive development knowledge?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Milvus
    4. Qdrant
    5. Chroma
    6. LangChain
    7. LlamaIndex
    8. OpenAI Fine-tuning API
    9. Hugging Face Transformers
    10. GPT-4
    11. Claude 3
    12. Gemini
    13. Llama 3

    AI recommended 13 alternatives but never named partme-ai/full-stack-skills. 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 partme-ai/full-stack-skills?
    pass
    AI named partme-ai/full-stack-skills explicitly

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

  • If a team adopts partme-ai/full-stack-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named partme-ai/full-stack-skills 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 partme-ai/full-stack-skills solve, and who is the primary audience?
    pass
    AI did not name partme-ai/full-stack-skills — 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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