RRepoGEO

REPOGEO REPORT · LITE

elastic/agent-skills

Default branch main · commit e0d6b021 · scanned 6/13/2026, 9:36:47 AM

GitHub: 503 stars · 37 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 elastic/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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening sentence to clarify specific niche

    Why:

    CURRENT
    Elastic Agent Skills — built by the people who built Elastic — deliver native platform expertise directly to your AI coding agent. This is the official Agent Skills library, compatible with agentic IDEs such as Cursor, GitHub Copilot, Windsurf, Gemini CLI, and more. Skills follow the Agent Skills open standard.
    COPY-PASTE FIX
    Elastic Agent Skills deliver native Elastic platform expertise directly to your AI coding agent. This official library provides curated skills for working with Elasticsearch, Kibana, Observability, and Security, compatible with agentic IDEs such as Cursor, GitHub Copilot, Windsurf, and Gemini CLI. Skills follow the Agent Skills open standard.
  • highabout#2
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    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 elastic/agent-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Snowflake Connector for Python/Java/Node.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Snowflake Connector for Python/Java/Node.js · recommended 1×
  2. Databricks Connect · recommended 1×
  3. Unity Catalog APIs · recommended 1×
  4. Google BigQuery API Client Libraries · recommended 1×
  5. Amazon Redshift Data API · recommended 1×
  • CATEGORY QUERY
    How can I improve my AI coding assistant's accuracy when working with data platforms?
    you: not recommended
    AI recommended (in order):
    1. Snowflake Connector for Python/Java/Node.js
    2. Databricks Connect
    3. Unity Catalog APIs
    4. Google BigQuery API Client Libraries
    5. Amazon Redshift Data API
    6. SQLAlchemy
    7. Apache Atlas
    8. Amundsen
    9. DataHub
    10. Collibra
    11. Snowflake Documentation
    12. Databricks Documentation
    13. Google Cloud Documentation (BigQuery)
    14. Delta Lake
    15. Spark SQL
    16. Medallion Architecture
    17. Great Expectations
    18. Deequ
    19. Pandas Profiling
    20. Git
    21. GitHub
    22. GitLab
    23. Bitbucket
    24. dbt
    25. Atlan
    26. Alation
    27. dbt Semantic Layer
    28. Cube.js
    29. Looker Semantic Model

    AI recommended 29 alternatives but never named elastic/agent-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to add platform-specific expertise to my AI development agent.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions
    4. AutoGPT
    5. Hugging Face Transformers
    6. Apache Libcloud
    7. Paramiko

    AI recommended 7 alternatives but never named elastic/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 elastic/agent-skills?
    pass
    AI named elastic/agent-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 elastic/agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named elastic/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 elastic/agent-skills solve, and who is the primary audience?
    pass
    AI named elastic/agent-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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  • Brand-free category queries5 vs 2 in Lite
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