RRepoGEO

REPOGEO REPORT · LITE

google-deepmind/science-skills

Default branch main · commit 33557e0f · scanned 6/17/2026, 12:51:52 PM

GitHub: 1,926 stars · 197 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 google-deepmind/science-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
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, scientific-research, genomics, structural-biology, cheminformatics, llm-tools, agentic-workflows, deepmind, google
  • highreadme#2
    Reposition README H1 and opening sentence to clarify purpose

    Why:

    CURRENT
    # Science Skills

A collection of agent skills for scientific research tasks, spanning genomics, structural biology, cheminformatics, literature search, and more.
    COPY-PASTE FIX
    # Science Skills: Agentic Tools for Scientific Research

This repository provides a collection of modular agent skills designed to enhance AI agents' capabilities for specialized scientific tasks, covering areas like genomics, structural biology, and cheminformatics.
  • mediumreadme#3
    Highlight Google Antigravity integration earlier in README

    Why:

    COPY-PASTE FIX
    These skills are designed for integration with AI agents, notably through the Google Antigravity platform, to streamline complex scientific workflows. (Add this sentence after the first paragraph of the README)

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-deepmind/science-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BioGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BioGPT · recommended 1×
  2. ChemBERTa · recommended 1×
  3. SciBERT · recommended 1×
  4. Llama 3 · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can AI agents be enhanced for specialized scientific research tasks?
    you: not recommended
    AI recommended (in order):
    1. BioGPT
    2. ChemBERTa
    3. SciBERT
    4. Llama 3
    5. GPT-4
    6. Mistral
    7. Neo4j
    8. Wikidata
    9. DBpedia
    10. PubChem
    11. UniProt
    12. PDB
    13. LangChain
    14. AutoGPT
    15. BabyAGI
    16. NumPy
    17. SciPy
    18. Pandas
    19. Matplotlib
    20. scikit-learn
    21. Wolfram Alpha
    22. Google Scholar API
    23. Streamlit
    24. Gradio
    25. Snorkel
    26. ChatGPT

    AI recommended 26 alternatives but never named google-deepmind/science-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to improve AI agent efficiency in complex scientific data analysis?
    you: not recommended
    AI recommended (in order):
    1. Ray (ray-project/ray)
    2. Dask (dask/dask)
    3. Apache Spark (apache/spark)
    4. NVIDIA RAPIDS (rapidsai/rapids)
    5. Modin (modin-project/modin)
    6. Vaex (vaexio/vaex)
    7. Optuna (optuna/optuna)

    AI recommended 7 alternatives but never named google-deepmind/science-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 google-deepmind/science-skills?
    pass
    AI did not name google-deepmind/science-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 google-deepmind/science-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-deepmind/science-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-deepmind/science-skills solve, and who is the primary audience?
    pass
    AI named google-deepmind/science-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

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google-deepmind/science-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