RRepoGEO

REPOGEO REPORT · LITE

expo/skills

Default branch main · commit 956a92b9 · scanned 5/25/2026, 5:47:52 PM

GitHub: 1,972 stars · 94 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 expo/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
    Reposition README H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # Expo Skills

Official AI agent skills from the Expo team for building, deploying, and debugging robust Expo apps.
    COPY-PASTE FIX
    # Expo AI Agent Skills

This repository provides a collection of official AI agent skills from the Expo team, designed to be directly integrated and used by AI assistants (like Claude Code and Cursor) for building, deploying, and debugging robust Expo applications.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, expo, mobile-development, react-native, developer-tools, code-generation, debugging, deployment, claude-code, cursor
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://expo.dev

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 expo/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. ChatGPT · recommended 2×
  3. Applitools Eyes · recommended 2×
  4. Tabnine · recommended 1×
  5. DeepSource · recommended 1×
  • CATEGORY QUERY
    How can AI agents help streamline development and debugging of cross-platform mobile applications?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. ChatGPT
    4. DeepSource
    5. SonarQube
    6. CodeGuru Reviewer
    7. Applitools Eyes
    8. Testim
    9. Mabl
    10. Sentry
    11. Datadog
    12. LogRocket
    13. Firebase Performance Monitoring
    14. New Relic One

    AI recommended 14 alternatives but never named expo/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools are available to automate common tasks in modern mobile app development workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitLab Duo Code Suggestions
    3. ChatGPT
    4. Google Gemini
    5. Applitools Eyes
    6. Firebase Crashlytics
    7. Testim.io
    8. mabl
    9. DeepMind's AlphaCode

    AI recommended 9 alternatives but never named expo/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 expo/skills?
    pass
    AI named expo/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 expo/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named expo/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 expo/skills solve, and who is the primary audience?
    pass
    AI named expo/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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expo/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