RRepoGEO

REPOGEO REPORT · LITE

new-silvermoon/awesome-android-agent-skills

Default branch main · commit e5d0275e · scanned 6/4/2026, 2:33:22 AM

GitHub: 831 stars · 82 forks

AI VISIBILITY SCORE
22 /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
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 new-silvermoon/awesome-android-agent-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 opening to clarify it's a *collection* of skills

    Why:

    CURRENT
    Welcome to **Awesome Android Agent Skills**, a repository of specialized "brains" for your AI coding assistants.
    COPY-PASTE FIX
    Welcome to **Awesome Android Agent Skills**, a curated collection of specialized "brains" for your AI coding assistants.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    android, agent-skills, ai-agents, github-copilot, claude, gemini, cursor, kotlin, jetpack-compose, mobile-development
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://agentskills.io

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 new-silvermoon/awesome-android-agent-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. huggingface/datasets · recommended 1×
  3. tensorflow/datasets · recommended 1×
  4. realm/SwiftLint · recommended 1×
  5. detekt/detekt · recommended 1×
  • CATEGORY QUERY
    How to enhance AI coding assistant's understanding of modern mobile development best practices?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Datasets (huggingface/datasets)
    2. TensorFlow Datasets (tensorflow/datasets)
    3. SwiftLint (realm/SwiftLint)
    4. Detekt (detekt/detekt)
    5. ESLint (eslint/eslint)
    6. SonarQube
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)
    9. Label Studio (heartexlabs/label-studio)
    10. Snorkel (snorkel-team/snorkel)
    11. Google's Architecture Components
    12. Apple's Sample Apps

    AI recommended 12 alternatives but never named new-silvermoon/awesome-android-agent-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking pre-packaged knowledge for AI agents to follow contemporary mobile application patterns.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 with Function Calling / Assistants API
    2. Google Gemini (Advanced/Pro) with Function Calling
    3. Hugging Face Transformers (huggingface/transformers)
    4. LangChain (langchain-ai/langchain)
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. ChromaDB (chroma-core/chroma)
    8. GitHub Copilot Enterprise
    9. Microsoft Azure OpenAI Service
    10. Tabnine Enterprise

    AI recommended 10 alternatives but never named new-silvermoon/awesome-android-agent-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 new-silvermoon/awesome-android-agent-skills?
    pass
    AI did not name new-silvermoon/awesome-android-agent-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 new-silvermoon/awesome-android-agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named new-silvermoon/awesome-android-agent-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 new-silvermoon/awesome-android-agent-skills solve, and who is the primary audience?
    pass
    AI did not name new-silvermoon/awesome-android-agent-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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new-silvermoon/awesome-android-agent-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