RRepoGEO

REPOGEO REPORT · LITE

ConardLi/garden-skills

Default branch main · commit fbd6453c · scanned 6/22/2026, 1:16:56 AM

GitHub: 8,483 stars · 1,147 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ConardLi/garden-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 GitHub description to explicitly state AI agent skills

    Why:

    CURRENT
    ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.
    COPY-PASTE FIX
    ConardLi's open-source collection of AI Agent Skills, featuring web design, knowledge retrieval, image generation, and more for Claude Code, Cursor, and other AI coding agents.
  • mediumreadme#2
    Clarify README H1 to prevent gardening misinterpretation

    Why:

    CURRENT
    # Garden Skills
    COPY-PASTE FIX
    # Garden Skills: A Curated Collection of AI Agent Capabilities
  • mediumtopics#3
    Expand topics to improve category visibility for AI agent functions

    Why:

    CURRENT
    agent, claude, gpt-image-2, rag, skills, web-design
    COPY-PASTE FIX
    agent, claude, gpt-image-2, rag, skills, web-design, ai-agents, agent-skills, ai-plugins, function-calling, ai-modules, web-automation, image-generation-ai

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 ConardLi/garden-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Function Calling
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Function Calling · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. microsoft/semantic-kernel · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How can I integrate specialized functions into my AI assistant for better performance?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    5. Haystack (deepset-ai/haystack)
    6. Guidance (microsoft/guidance)

    AI recommended 6 alternatives but never named ConardLi/garden-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find pre-made modules for AI agents to handle web design or image tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Diffusers
    3. OpenAI API
    4. DALL-E 3
    5. GPT-4V (Vision)
    6. GPT-4
    7. Google Cloud AI Platform
    8. Vertex AI
    9. Vision AI
    10. AutoML Vision
    11. Generative AI Studio
    12. PyTorch Hub
    13. TensorFlow Hub
    14. Keras Applications
    15. Gradio
    16. Streamlit

    AI recommended 16 alternatives but never named ConardLi/garden-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
    pass

  • 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 ConardLi/garden-skills?
    pass
    AI did not name ConardLi/garden-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?

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

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

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ConardLi/garden-skills — 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