RRepoGEO

REPOGEO REPORT · LITE

dgreenheck/webgpu-claude-skill

Default branch main · commit af2319bd · scanned 5/28/2026, 8:02:58 PM

GitHub: 945 stars · 86 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 dgreenheck/webgpu-claude-skill, 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
    Clarify the README's opening sentence to emphasize specialized AI assistance for 3D development

    Why:

    CURRENT
    An Agent Skill for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language).
    COPY-PASTE FIX
    This Claude Agent Skill provides specialized AI assistance for developing WebGPU-enabled Three.js applications, focusing on TSL (Three.js Shading Language) for shaders and GPU compute.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    (Choose an appropriate open-source license like MIT or Apache-2.0 and add its text to a LICENSE file in the repository root.)

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 dgreenheck/webgpu-claude-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. ChatGPT · recommended 1×
  3. GPT-4 · recommended 1×
  4. Midjourney · recommended 1×
  5. Stable Diffusion · recommended 1×
  • CATEGORY QUERY
    How to use an AI assistant for building 3D applications with modern GPU rendering capabilities?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. GPT-4
    4. Midjourney
    5. Stable Diffusion
    6. Blockade Labs Skybox AI
    7. Luma AI
    8. Spline AI
    9. NVIDIA Nsight Graphics
    10. AMD Radeon GPU Analyzer

    AI recommended 10 alternatives but never named dgreenheck/webgpu-claude-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking AI guidance for writing custom shaders, node-based materials, and post-processing effects.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT (GPT-4 or GPT-3.5)
    2. GitHub Copilot
    3. Blackbox AI
    4. Phind
    5. Perplexity AI
    6. Bard (Google's AI)
    7. Tabnine

    AI recommended 7 alternatives but never named dgreenheck/webgpu-claude-skill. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 dgreenheck/webgpu-claude-skill?
    pass
    AI did not name dgreenheck/webgpu-claude-skill — 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 dgreenheck/webgpu-claude-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dgreenheck/webgpu-claude-skill 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 dgreenheck/webgpu-claude-skill solve, and who is the primary audience?
    pass
    AI did not name dgreenheck/webgpu-claude-skill — 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?

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dgreenheck/webgpu-claude-skill — 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