RRepoGEO

REPOGEO REPORT · LITE

metaskills/experts

Default branch main · commit 50ccd739 · scanned 5/24/2026, 12:23:30 PM

GitHub: 1,064 stars · 61 forks

AI VISIBILITY SCORE
40 /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
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 metaskills/experts, 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
    Explicitly state 'Node.js Library' in the README's main heading

    Why:

    CURRENT
    # Multi AI Agent Systems <br>using OpenAI's Assistants API (Experts.js)
    COPY-PASTE FIX
    # Experts.js: A Node.js Library for Multi AI Agent Systems <br>using OpenAI's Assistants API
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison to Alternatives' or 'Why Experts.js?' that briefly outlines how Experts.js differs from and complements libraries like LangChain, AutoGen, CrewAI, and LlamaIndex, focusing on its simplicity for OpenAI Assistants.
  • lowabout#3
    Reinforce 'Node.js library' in the repository description

    Why:

    CURRENT
    Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.
    COPY-PASTE FIX
    Experts.js is a Node.js library that provides the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.

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 metaskills/experts
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGen · recommended 1×
  4. CrewAI · recommended 1×
  5. Redis · recommended 1×
  • CATEGORY QUERY
    How to build advanced multi-AI agent systems using OpenAI's Assistants API?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. Redis
    6. PostgreSQL
    7. MongoDB
    8. Requests
    9. Pandas
    10. Beautiful Soup
    11. Scrapy
    12. Zapier NLA
    13. Browserless
    14. LangSmith
    15. Weights & Biases
    16. Grafana
    17. Prometheus

    AI recommended 17 alternatives but never named metaskills/experts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What library simplifies managing and connecting OpenAI Assistants for complex workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. Magentic
    5. Instructor
    6. Haystack

    AI recommended 6 alternatives but never named metaskills/experts. 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 metaskills/experts?
    pass
    AI named metaskills/experts explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts metaskills/experts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named metaskills/experts 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 metaskills/experts solve, and who is the primary audience?
    pass
    AI named metaskills/experts explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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