RRepoGEO

REPOGEO REPORT · LITE

litanlitudan/skyagi

Default branch main · commit 821e0acc · scanned 6/6/2026, 12:21:45 PM

GitHub: 778 stars · 56 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 litanlitudan/skyagi, 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 the README's opening sentence to emphasize its role as a framework for game AI/NPCs

    Why:

    CURRENT
    `SkyAGI` is a python package that demonstrates LLM's emerging capability in simulating believable human behaviors.
    COPY-PASTE FIX
    `SkyAGI` is a Python framework and toolkit for building and simulating believable human behaviors and dynamic non-player characters (NPCs) using large language models (LLMs).
  • hightopics#2
    Add more specific topics related to game AI and character simulation

    Why:

    CURRENT
    ai-agent, aigc, langchain, language-model, llm
    COPY-PASTE FIX
    ai-agent, aigc, langchain, language-model, llm, game-ai, npc, character-ai, human-simulation, generative-agents-framework
  • mediumreadme#3
    Add a dedicated 'Why SkyAGI?' or 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Why SkyAGI? Key Differentiators

Unlike traditional rule-based NPC systems or generic LLM APIs, SkyAGI provides a dedicated framework for creating truly believable, dynamic human-like character interactions and non-player characters (NPCs) for games and simulations. It focuses on emergent behaviors rather than scripted responses, offering a unique approach to generative agents.

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 litanlitudan/skyagi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Character AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Character AI · recommended 1×
  2. OpenAI API · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. Hugging Face Transformers Library · recommended 1×
  5. Google Gemini API · recommended 1×
  • CATEGORY QUERY
    How can I create realistic human-like character interactions using large language models?
    you: not recommended
    AI recommended (in order):
    1. Character AI
    2. OpenAI API
    3. Anthropic Claude
    4. Hugging Face Transformers Library
    5. Google Gemini API
    6. LangChain
    7. LlamaIndex

    AI recommended 7 alternatives but never named litanlitudan/skyagi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help develop dynamic and believable AI non-player characters for games?
    you: not recommended
    AI recommended (in order):
    1. Unreal Engine
    2. Unity
    3. Unity ML-Agents (Unity-Technologies/ml-agents)
    4. NodeCanvas
    5. Behavior Designer
    6. RAIN AI
    7. Apex Path
    8. GOAP.NET (jbruening/GOAP.NET)

    AI recommended 8 alternatives but never named litanlitudan/skyagi. 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 litanlitudan/skyagi?
    pass
    AI named litanlitudan/skyagi explicitly

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

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