RRepoGEO

REPOGEO REPORT · LITE

dpearson2699/swift-ios-skills

Default branch main · commit 8112d100 · scanned 6/13/2026, 5:01:59 PM

GitHub: 734 stars · 39 forks

AI VISIBILITY SCORE
20 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 dpearson2699/swift-ios-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
    Clarify README's opening paragraph to emphasize 'code examples for AI tools'

    Why:

    CURRENT
    84 agent skills optimized for **iOS 26+** development with Swift 6.3 and modern Apple frameworks. All code examples, patterns, and guidance target the latest APIs -- Liquid Glass, approachable concurrency, Foundation Models, StoreKit 2, SwiftData, async/await URLSession, and more. No deprecated patterns.

Compatible with Claude Code, OpenAI Codex, Cursor, GitHub Copilot, and 40+ other agents. Follows the open Agent Skills standard.
    COPY-PASTE FIX
    A curated collection of 84 **Swift iOS code examples and patterns** (Agent Skills) optimized for **iOS 26+** development with Swift 6.3 and modern Apple frameworks. These skills are designed to be easily integrated and utilized *by* AI coding assistants like Claude Code, OpenAI Codex, Cursor, and GitHub Copilot, following the open Agent Skills standard. All code examples, patterns, and guidance target the latest APIs -- Liquid Glass, approachable concurrency, Foundation Models, StoreKit 2, SwiftData, async/await URLSession, and more, with no deprecated patterns.
  • mediumtopics#2
    Add topics that explicitly describe 'code examples' and 'resources for AI assistants'

    Why:

    CURRENT
    accessibility, agent-skills, ai-coding, apple, claude-code, codex-skills, cursor-skills, ios, ios-development, liquid-glass, localization, mapkit, networking, storekit, swift, swift-concurrency, swiftdata, swiftui, widgetkit, xcode
    COPY-PASTE FIX
    accessibility, agent-skills, ai-coding, apple, claude-code, codex-skills, cursor-skills, ios, ios-development, liquid-glass, localization, mapkit, networking, storekit, swift, swift-concurrency, swiftdata, swiftui, widgetkit, xcode, code-examples, swift-snippets, ios-patterns, ai-assistant-resources
  • lowreadme#3
    Add a 'License' section to the README for clarity

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: 'This project includes a custom license. Please refer to the [LICENSE](LICENSE) file for specific terms and conditions regarding usage and distribution.'

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 dpearson2699/swift-ios-skills
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. ChatGPT · recommended 1×
  3. Blackbox AI · recommended 1×
  4. Tabnine · recommended 1×
  5. Perplexity AI · recommended 1×
  • CATEGORY QUERY
    How can I find code examples for modern iOS development using AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. Blackbox AI
    4. Tabnine
    5. Perplexity AI

    AI recommended 5 alternatives but never named dpearson2699/swift-ios-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Swift code patterns for iOS 26+ with SwiftUI, SwiftData, and async/await networking.
    you: not recommended
    AI recommended (in order):
    1. The Composable Architecture
    2. MVVM-C
    3. Combine
    4. AsyncStream
    5. Clean Architecture
    6. VIPER
    7. RIBs
    8. Vanilla MVVM
    9. Redux-like
    10. ReSwift
    11. Swinject
    12. Result
    13. XCUITest

    AI recommended 13 alternatives but never named dpearson2699/swift-ios-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
    pass

  • 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 dpearson2699/swift-ios-skills?
    pass
    AI did not name dpearson2699/swift-ios-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 dpearson2699/swift-ios-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name dpearson2699/swift-ios-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 dpearson2699/swift-ios-skills solve, and who is the primary audience?
    pass
    AI did not name dpearson2699/swift-ios-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?

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dpearson2699/swift-ios-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite