RRepoGEO

REPOGEO REPORT · LITE

microsoft/skills-for-fabric

Default branch main · commit 4ef99a57 · scanned 6/17/2026, 5:51:23 AM

GitHub: 521 stars · 130 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 microsoft/skills-for-fabric, 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
    Reposition README H1 and first sentence to clarify scope as an AI assistant extension

    Why:

    CURRENT
    # Microsoft Fabric Skills

Microsoft Fabric Skills are reusable AI assistant instructions for working with Microsoft Fabric. They help GitHub Copilot CLI and compatible AI coding tools understand Fabric workloads, APIs, query patterns, and operational best practices.
    COPY-PASTE FIX
    # Microsoft Fabric Skills: AI Assistant Extensions

This repository offers a collection of reusable AI assistant skills and instructions, designed as an extension to tools like GitHub Copilot CLI, to enhance their ability to operate over Microsoft Fabric. These skills help AI coding tools understand Fabric workloads, APIs, query patterns, and operational best practices.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://learn.microsoft.com/fabric/ (or a more specific landing page for these 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 microsoft/skills-for-fabric
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Databricks Lakehouse Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Databricks Lakehouse Platform · recommended 1×
  2. Snowflake Data Cloud · recommended 1×
  3. apache/airflow · recommended 1×
  4. AWS Glue · recommended 1×
  5. Azure Data Factory · recommended 1×
  • CATEGORY QUERY
    How can I enhance my AI assistant's understanding of data analytics platform operations?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Snowflake Data Cloud
    3. Apache Airflow (apache/airflow)
    4. AWS Glue
    5. Azure Data Factory
    6. Google Cloud Dataflow
    7. Grafana (grafana/grafana)
    8. Prometheus (prometheus/prometheus)
    9. dbt (dbt-labs/dbt-core)
    10. Confluent Platform
    11. Apache Kafka (apache/kafka)

    AI recommended 11 alternatives but never named microsoft/skills-for-fabric. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking AI assistant guidance for data platform development, querying, and operational best practices.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Enterprise
    2. GitHub Copilot Enterprise
    3. Google Gemini Advanced
    4. Microsoft Copilot for Microsoft 365
    5. Amazon Q
    6. Claude 3 Opus
    7. Perplexity AI Pro

    AI recommended 7 alternatives but never named microsoft/skills-for-fabric. 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 microsoft/skills-for-fabric?
    pass
    AI did not name microsoft/skills-for-fabric — 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?

  • If a team adopts microsoft/skills-for-fabric in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/skills-for-fabric 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 microsoft/skills-for-fabric solve, and who is the primary audience?
    pass
    AI named microsoft/skills-for-fabric explicitly

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

Embed your GEO score

Drop this badge into the README of microsoft/skills-for-fabric. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/microsoft/skills-for-fabric.svg)](https://repogeo.com/en/r/microsoft/skills-for-fabric)
HTML
<a href="https://repogeo.com/en/r/microsoft/skills-for-fabric"><img src="https://repogeo.com/badge/microsoft/skills-for-fabric.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

microsoft/skills-for-fabric — 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