RRepoGEO

REPOGEO REPORT · LITE

fayazara/macos-app-skills

Default branch main · commit a60365ae · scanned 6/16/2026, 12:43:03 PM

GitHub: 563 stars · 14 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 fayazara/macos-app-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
    Refine README's opening to emphasize AI agent automation

    Why:

    CURRENT
    AI coding agent skills for building, shipping, and maintaining native macOS apps with SwiftUI + AppKit.
    COPY-PASTE FIX
    AI coding agent skills for automating the building, shipping, and maintenance of native macOS apps with SwiftUI + AppKit.
  • hightopics#2
    Add specific topics to improve AI categorization

    Why:

    COPY-PASTE FIX
    ai-agent, macos-development, xcode, swiftui, appkit, automation, developer-tools, skills-framework
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0) and include its full text.

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 fayazara/macos-app-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SwiftUI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SwiftUI · recommended 1×
  2. AppKit · recommended 1×
  3. Mac Catalyst · recommended 1×
  4. UIKit · recommended 1×
  5. Electron · recommended 1×
  • CATEGORY QUERY
    How to implement a standard macOS settings window with modern UI elements?
    you: not recommended
    AI recommended (in order):
    1. SwiftUI
    2. AppKit
    3. Mac Catalyst
    4. UIKit
    5. Electron
    6. Chromium
    7. Node.js
    8. Bootstrap
    9. Tailwind CSS
    10. Material-UI
    11. React
    12. PhotonKit
    13. React Desktop
    14. Qt
    15. Flutter
    16. Dart

    AI recommended 16 alternatives but never named fayazara/macos-app-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    AI assistant for automating common build and maintenance tasks in macOS projects?
    you: not recommended
    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 fayazara/macos-app-skills?
    pass
    AI did not name fayazara/macos-app-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 fayazara/macos-app-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name fayazara/macos-app-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?

  • In one sentence, what problem does the repo fayazara/macos-app-skills solve, and who is the primary audience?
    pass
    AI named fayazara/macos-app-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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fayazara/macos-app-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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fayazara/macos-app-skills — RepoGEO report