RRepoGEO

REPOGEO REPORT · LITE

guanyang/antigravity-skills

Default branch main · commit 83f371f8 · scanned 6/4/2026, 12:56:28 AM

GitHub: 853 stars · 156 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 guanyang/antigravity-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 introduction to clarify its role as a skill library/standard

    Why:

    CURRENT
    Empower agents with professional capabilities in specific fields (such as full-stack development, complex logic planning, multimedia processing, etc.) through modular **Skills** definitions, allowing agents to solve complex problems systematically like human experts.
    COPY-PASTE FIX
    Antigravity Skills is an open-source library of modular, pre-defined professional capabilities (Skills) for AI agents, built around a universal `SKILL.md` format. This collection empowers agents with specialized expertise (e.g., full-stack development, complex logic planning, multimedia processing), allowing them to solve complex problems systematically like human experts.
  • highreadme#2
    Add a disambiguation note for 'Antigravity' in the README

    Why:

    COPY-PASTE FIX
    Note: The 'Antigravity' in this project refers to the Antigravity framework/IDE for AI agents and is unrelated to Python's `import antigravity` Easter egg.
  • mediumtopics#3
    Enhance topics for more precise categorization

    Why:

    CURRENT
    agent, ai-agents, ai-skills, anthropic-skills, antigravity, antigravity-ai, antigravity-ide, claude-code, claude-code-plugin, context-engineering, cursor, full-stack, notebooklm, opencode, planning, skills, superpowers, ui-ux-design, workflows
    COPY-PASTE FIX
    agent, ai-agents, ai-skills, anthropic-skills, antigravity, antigravity-ai, antigravity-ide, claude-code, claude-code-plugin, context-engineering, cursor, full-stack, notebooklm, opencode, planning, skills, superpowers, ui-ux-design, workflows, agent-skills-library, ai-agent-capabilities, skill-definition-standard, agent-tooling

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 guanyang/antigravity-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. OpenAI API · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. huggingface/datasets · recommended 1×
  • CATEGORY QUERY
    How can I empower AI agents with professional capabilities in specific technical domains?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI API
    4. Hugging Face Transformers (huggingface/transformers)
    5. Hugging Face Datasets (huggingface/datasets)
    6. Weights & Biases
    7. Docker
    8. Kubernetes (kubernetes/kubernetes)
    9. Pinecone
    10. Weaviate (weaviate/weaviate)
    11. Milvus (milvus-io/milvus)

    AI recommended 11 alternatives but never named guanyang/antigravity-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to build modular skills for AI agents to solve complex development problems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. OpenAI Assistants API
    6. Microsoft Semantic Kernel

    AI recommended 6 alternatives but never named guanyang/antigravity-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 guanyang/antigravity-skills?
    pass
    AI named guanyang/antigravity-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 guanyang/antigravity-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name guanyang/antigravity-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 guanyang/antigravity-skills solve, and who is the primary audience?
    pass
    AI did not name guanyang/antigravity-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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guanyang/antigravity-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