RRepoGEO

REPOGEO REPORT · LITE

microsoft/azure-skills

Default branch main · commit c752fe85 · scanned 6/29/2026, 2:46:39 AM

GitHub: 1,243 stars · 195 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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/azure-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 H1 and opening paragraph to clarify AI agent plugin purpose

    Why:

    CURRENT
    # Azure Skills Plugin
    
    Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter. The Azure Skills Plugin packages Azure expertise and MCP-backed execution together so compatible coding agents can do real Azure work instead of giving generic cloud advice.
    COPY-PASTE FIX
    # Azure Skills Plugin: Operational Expertise for AI Agents in Azure
    
    This official plugin equips AI agents with the practical Azure expertise and Microsoft Certified Professional (MCP)-backed execution capabilities needed to perform real-world Azure operations, from deployment and validation to troubleshooting and cost optimization. It transforms generic cloud advice into actionable, scenario-specific workflows for compatible coding agents.
  • hightopics#2
    Add specific topics to improve category visibility

    Why:

    CURRENT
    agent-skills
    COPY-PASTE FIX
    azure-skills, ai-agent, azure-ai, cloud-management, cloud-deployment, cost-optimization, azure-plugin, generative-ai, copilot-extension, semantic-kernel
  • mediumhomepage#3
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    [Insert official landing page URL here, e.g., https://microsoft.github.io/azure-skills/ or the repo URL if no external site]

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/azure-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. GPT-3.5 Turbo · recommended 1×
  3. LangChain · recommended 1×
  4. AWS CloudFormation · recommended 1×
  5. Azure Resource Manager (ARM) Templates · recommended 1×
  • CATEGORY QUERY
    How can I equip an AI agent with expertise for managing enterprise cloud infrastructure?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5 Turbo
    3. LangChain
    4. AWS CloudFormation
    5. Azure Resource Manager (ARM) Templates
    6. Google Cloud Deployment Manager
    7. Prometheus
    8. Grafana
    9. Splunk
    10. Elasticsearch
    11. Logstash
    12. Kibana
    13. Terraform
    14. ServiceNow
    15. Jira Service Management

    AI recommended 15 alternatives but never named microsoft/azure-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI assistants follow best practices for cloud application deployment and cost optimization?
    you: not recommended
    AI recommended (in order):
    1. Terraform (hashicorp/terraform)
    2. Kubernetes (kubernetes/kubernetes)
    3. Datadog
    4. AWS Cost Explorer
    5. Azure Cost Management
    6. Google Cloud Billing Reports
    7. CloudHealth by VMware
    8. Spot by NetApp
    9. Snyk

    AI recommended 9 alternatives but never named microsoft/azure-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 microsoft/azure-skills?
    pass
    AI did not name microsoft/azure-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?

  • If a team adopts microsoft/azure-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/azure-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 microsoft/azure-skills solve, and who is the primary audience?
    pass
    AI named microsoft/azure-skills 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/azure-skills. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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microsoft/azure-skills — RepoGEO report