RRepoGEO

REPOGEO REPORT · LITE

google-gemma/gemma-skills

Default branch main · commit b0ad0ba0 · scanned 6/14/2026, 9:51:40 AM

GitHub: 572 stars · 26 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-gemma/gemma-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
  • highreadme#1
    Reposition the README's opening statement to clarify 'skills' as LLM agent tools

    Why:

    CURRENT
    Skills for the Gemma and model/agent interactions
    COPY-PASTE FIX
    Skills for the Gemma and model/agent interactions, enabling Gemma-powered agents to perform actions, access external data, and integrate with APIs.
  • mediumtopics#2
    Expand repository topics to include LLM agent and tool-use terminology

    Why:

    CURRENT
    gemma, skills
    COPY-PASTE FIX
    gemma, skills, llm-agents, function-calling, tool-use, agent-frameworks, gemma-models
  • mediumreadme#3
    Add a dedicated 'What Problem Do These Skills Solve?' section to the README

    Why:

    COPY-PASTE FIX
    ## What Problem Do These Skills Solve?

This repository addresses the challenge of extending Gemma models' capabilities beyond their training data. By providing custom tools and enabling interaction with external APIs, these skills empower developers and researchers to build more powerful and versatile Gemma-powered applications and agents.

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-gemma/gemma-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 1×
  2. Weaviate · recommended 1×
  3. Chroma · recommended 1×
  4. Qdrant · recommended 1×
  5. Faiss · recommended 1×
  • CATEGORY QUERY
    How can I add specific functionalities or knowledge to my large language model agent?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Chroma
    4. Qdrant
    5. Faiss
    6. OpenAI API Fine-tuning
    7. Hugging Face Transformers Library
    8. Google Cloud Vertex AI
    9. Weights & Biases
    10. LangChain
    11. LlamaIndex
    12. OpenAI Function Calling API
    13. CrewAI
    14. OpenAI API (System Message)
    15. Anthropic Claude API (System Prompt)
    16. Google Gemini API (System Instructions)
    17. Neo4j
    18. Amazon Neptune
    19. Grakn (now Vaticle's TypeDB)

    AI recommended 19 alternatives but never named google-gemma/gemma-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate pre-built conversational abilities into an AI application?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow
    2. Microsoft Azure Bot Service
    3. Language Understanding (LUIS)
    4. Amazon Lex
    5. Rasa (RasaHQ/rasa)
    6. IBM Watson Assistant
    7. Wit.ai

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

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

Embed your GEO score

Drop this badge into the README of google-gemma/gemma-skills. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/google-gemma/gemma-skills.svg)](https://repogeo.com/en/r/google-gemma/gemma-skills)
HTML
<a href="https://repogeo.com/en/r/google-gemma/gemma-skills"><img src="https://repogeo.com/badge/google-gemma/gemma-skills.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

google-gemma/gemma-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