RRepoGEO

REPOGEO REPORT · LITE

google/skills

Default branch main · commit f65ad288 · scanned 5/10/2026, 11:12:29 PM

GitHub: 6,913 stars · 544 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 google/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 the README's opening to clarify the repo's purpose

    Why:

    CURRENT
    # Agent Skills

This repository contains Agent Skills for Google products and technologies, including Google Cloud.
    COPY-PASTE FIX
    # Agent Skills: Pre-built Capabilities for AI Agents

This repository provides a collection of pre-built, modular "Agent Skills" designed to enable AI agents to interact with and manage Google products and technologies, including Google Cloud services.
  • mediumtopics#2
    Add more specific topics to reflect AI agent capabilities

    Why:

    CURRENT
    google, googlecloud, skills
    COPY-PASTE FIX
    google, googlecloud, skills, ai-agents, agent-capabilities, agent-modules, generative-ai
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://skills.sh/google/skills

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 google/skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Assistants API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Assistants API · recommended 1×
  2. LangChain · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Google Cloud Vertex AI Agent Builder · recommended 1×
  5. AWS Bedrock Agents · recommended 1×
  • CATEGORY QUERY
    How can I integrate pre-built agent capabilities for cloud services into my AI assistant?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. LangChain
    3. Microsoft Semantic Kernel
    4. Google Cloud Vertex AI Agent Builder
    5. AWS Bedrock Agents
    6. LlamaIndex
    7. Custom Python/Node.js/Go/Java Microservices with LLM Orchestration

    AI recommended 7 alternatives but never named google/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help an AI agent manage and interact with various cloud infrastructure services?
    you: not recommended
    AI recommended (in order):
    1. Terraform (hashicorp/terraform)
    2. Pulumi (pulumi/pulumi)
    3. AWS CloudFormation
    4. Azure Resource Manager (ARM) Templates
    5. Google Cloud Deployment Manager
    6. Ansible (ansible/ansible)
    7. Kubernetes (kubernetes/kubernetes)

    AI recommended 7 alternatives but never named google/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 google/skills?
    pass
    AI named google/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 google/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/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 google/skills solve, and who is the primary audience?
    pass
    AI named google/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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google/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