RRepoGEO

REPOGEO REPORT · LITE

NVIDIA/skills

Default branch main · commit e29b3c65 · scanned 6/6/2026, 8:46:50 PM

GitHub: 1,061 stars · 120 forks

AI VISIBILITY SCORE
35 /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
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 NVIDIA/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

2 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 its role as a skill catalog

    Why:

    CURRENT
    # NVIDIA Agent Skills

**Official, NVIDIA-verified skills for AI agents.**
    COPY-PASTE FIX
    # NVIDIA Agent Skills

This repository is a **catalog of official, NVIDIA-verified skills** designed to **extend the capabilities of AI agents**. These pre-built skills enable agents to **leverage NVIDIA CUDA-X libraries, AI Blueprints, and platform tools** for complex tasks, acting as specialized functions rather than a foundational agent framework.
  • mediumlicense#2
    Clarify the existing license terms directly in the README

    Why:

    COPY-PASTE FIX
    Add a section or sentence to the README, for example: "This project is licensed under the terms detailed in the [LICENSE](LICENSE) file. Please refer to the file for specific licensing information."

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 NVIDIA/skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. Google Gemini · recommended 1×
  3. Anthropic Claude 3 · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How can I add specialized capabilities or functions to my AI agent?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Google Gemini
    3. Anthropic Claude 3
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. Python `requests` library (psf/requests)
    7. Hugging Face Transformers (huggingface/transformers)
    8. OpenAI Fine-tuning API
    9. Pinecone
    10. Weaviate (weaviate/weaviate)
    11. Chroma (chroma-core/chroma)

    AI recommended 11 alternatives but never named NVIDIA/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents leverage high-performance computing libraries for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Ray
    4. Dask
    5. Horovod
    6. Open MPI
    7. MPICH

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