RRepoGEO

REPOGEO REPORT · LITE

meodai/skill.color-expert

Default branch main · commit 1ae1700c · scanned 6/25/2026, 2:58:39 AM

GitHub: 504 stars · 33 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 meodai/skill.color-expert, 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 README H1 and first sentence to emphasize 'AI Agent Knowledge Base'

    Why:

    CURRENT
    # color-expert

An agent skill that turns your coding agent into a color science expert.
    COPY-PASTE FIX
    # color-expert: A Comprehensive Color Science Knowledge Base for AI Agents

This agent skill turns your coding agent into a color science expert by providing a comprehensive, structured knowledge base.
  • mediumtopics#2
    Add descriptive topics for AI knowledge base and data

    Why:

    CURRENT
    chatgpt, claude, claude-code, codex, copilot, cursor, skill
    COPY-PASTE FIX
    chatgpt, claude, claude-code, codex, copilot, cursor, skill, ai-knowledge-base, agent-skill, color-science-data, prompt-engineering-resource
  • lowhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Link to your project's dedicated website or GitHub Pages.

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 meodai/skill.color-expert
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Color
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Color · recommended 2×
  2. Color Science.com · recommended 1×
  3. X-Rite Color IQ Learning Center · recommended 1×
  4. Cambridge in Colour · recommended 1×
  5. Wikipedia · recommended 1×
  • CATEGORY QUERY
    Seeking a knowledge base to empower my AI assistant with comprehensive color science expertise.
    you: not recommended
    AI recommended (in order):
    1. Color Science.com
    2. X-Rite Color IQ Learning Center
    3. Cambridge in Colour
    4. Wikipedia
    5. The Munsell Color System Website
    6. Adobe Color
    7. W3C CSS Color Module Level 4

    AI recommended 7 alternatives but never named meodai/skill.color-expert. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to teach an AI agent about color accessibility, palettes, and historical color theory?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5
    3. Claude 3
    4. Llama 3
    5. TensorFlow
    6. PyTorch
    7. Keras
    8. Scikit-learn
    9. Adobe Color
    10. Adobe Kuler
    11. Coolors.co
    12. Paletton
    13. WCAG
    14. axe-core
    15. Lighthouse
    16. Jupyter Notebooks
    17. Google Colab

    AI recommended 17 alternatives but never named meodai/skill.color-expert. 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 meodai/skill.color-expert?
    pass
    AI did not name meodai/skill.color-expert — 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 meodai/skill.color-expert in production, what risks or prerequisites should they evaluate first?
    pass
    AI named meodai/skill.color-expert 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 meodai/skill.color-expert solve, and who is the primary audience?
    pass
    AI named meodai/skill.color-expert 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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meodai/skill.color-expert — RepoGEO report