RRepoGEO

REPOGEO REPORT · LITE

google-gemini/gemini-skills

Default branch main · commit c609019e · scanned 5/16/2026, 4:52:30 AM

GitHub: 3,490 stars · 327 forks

AI VISIBILITY SCORE
40 /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
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 google-gemini/gemini-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
  • hightopics#1
    Expand repository topics to include broader AI/LLM tool categories

    Why:

    CURRENT
    gemini, gemini-api, skills
    COPY-PASTE FIX
    gemini, gemini-api, skills, llm-tools, function-calling, ai-agents, agent-tools, large-language-models
  • highreadme#2
    Reposition the README's opening sentence to highlight its role for AI agents

    Why:

    CURRENT
    A library of skills for the Gemini API, SDK and model interactions.
    COPY-PASTE FIX
    A library of specialized tools (skills) designed to extend the capabilities of AI agents and large language models, specifically for the Gemini API and SDK.
  • mediumreadme#3
    Clarify in the 'About' section how skills bridge the LLM knowledge gap

    Why:

    CURRENT
    This leaves a knowledge gap that language models can't solve on their own.
    COPY-PASTE FIX
    This leaves a knowledge gap that language models can't solve on their own. This repository provides concrete skills to bridge this gap, enabling agents to access up-to-date API knowledge and best practices.

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 google-gemini/gemini-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Google's Gemini · recommended 1×
  5. Anthropic's Claude · recommended 1×
  • CATEGORY QUERY
    How to extend large language model capabilities with up-to-date API knowledge?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Google's Gemini
    5. Anthropic's Claude
    6. Haystack (deepset)
    7. FastAPI
    8. Pydantic

    AI recommended 8 alternatives but never named google-gemini/gemini-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for improving AI agent's ability to generate correct API code?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    6. Guardrails AI (guardrails-ai/guardrails)
    7. Instructor (jxnl/instructor)

    AI recommended 7 alternatives but never named google-gemini/gemini-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 google-gemini/gemini-skills?
    pass
    AI named google-gemini/gemini-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 google-gemini/gemini-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-gemini/gemini-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 google-gemini/gemini-skills solve, and who is the primary audience?
    pass
    AI named google-gemini/gemini-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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google-gemini/gemini-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