RRepoGEO

REPOGEO REPORT · LITE

dbt-labs/dbt-agent-skills

Default branch main · commit 2e412857 · scanned 5/30/2026, 10:58:25 PM

GitHub: 523 stars · 39 forks

AI VISIBILITY SCORE
28 /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
2 / 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 dbt-labs/dbt-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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    dbt, ai-agents, generative-ai, data-modeling, analytics-engineering, semantic-layer, data-pipelines, automation
  • highreadme#2
    Reposition the README opening to emphasize AI agent empowerment

    Why:

    CURRENT
    # dbt Agent Skills

A curated collection of Agent Skills for working with dbt. These skills help AI agents understand and execute dbt workflows more effectively.
    COPY-PASTE FIX
    # dbt Agent Skills

Empower your AI agents to seamlessly understand and execute dbt workflows. This repository provides a curated collection of specialized skills, enabling AI to automate data modeling, analytics engineering, and semantic layer tasks within dbt projects.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.dbt.com/

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 dbt-labs/dbt-agent-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
dbt-labs/dbt-core
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. dbt-labs/dbt-core · recommended 2×
  2. Atlan · recommended 2×
  3. Datafold · recommended 1×
  4. Monte Carlo · recommended 1×
  5. Lightup · recommended 1×
  • CATEGORY QUERY
    How can AI agents automate data modeling and analytics engineering tasks?
    you: not recommended
    AI recommended (in order):
    1. dbt (dbt-labs/dbt-core)
    2. Datafold
    3. Monte Carlo
    4. Atlan
    5. Lightup
    6. Databricks
    7. Prophecy.io

    AI recommended 7 alternatives but never named dbt-labs/dbt-agent-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for AI to manage data pipeline operations and semantic layer definitions?
    you: not recommended
    AI recommended (in order):
    1. dbt (dbt-labs/dbt-core)
    2. Looker
    3. Dataform
    4. Cube.js (cube-js/cube)
    5. Atlan
    6. Apache Airflow (apache/airflow)
    7. Metriql (metriql/metriql)

    AI recommended 7 alternatives but never named dbt-labs/dbt-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 dbt-labs/dbt-agent-skills?
    pass
    AI named dbt-labs/dbt-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 dbt-labs/dbt-agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dbt-labs/dbt-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 dbt-labs/dbt-agent-skills solve, and who is the primary audience?
    pass
    AI did not name dbt-labs/dbt-agent-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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dbt-labs/dbt-agent-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