RRepoGEO

REPOGEO REPORT · LITE

microsoft/skills

Default branch main · commit 68996f2a · scanned 6/30/2026, 1:02:14 AM

GitHub: 2,641 stars · 299 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 microsoft/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 and clarify the README's opening statement

    Why:

    CURRENT
    Skills, custom agents, AGENTS.md templates, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry.
    COPY-PASTE FIX
    This repository offers a curated collection of reusable skills, custom agent configurations, and SDK integration templates specifically designed for **AI coding agents** that interact with **Azure SDKs** and the **Microsoft AI Foundry**.
  • mediumtopics#2
    Expand repository topics to include framework and developer tool terms

    Why:

    CURRENT
    agent-skills, agents, azure, foundry, mcp, sdk, skills
    COPY-PASTE FIX
    agent-skills, agents, azure, foundry, mcp, sdk, skills, ai-agent-framework, coding-assistant, developer-tools, sdk-integration
  • lowcomparison#3
    Add a 'Comparison to other AI Agent Frameworks' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison to other AI Agent Frameworks

Unlike general-purpose LLM orchestration frameworks like LangChain or LlamaIndex, `microsoft/skills` focuses specifically on providing pre-built, tested skills and configurations for *AI coding agents* that interact with *Azure SDKs* and the *Microsoft AI Foundry*. While other frameworks offer broad tool integration, `microsoft/skills` provides deep, opinionated integration for developer-centric tasks within the Microsoft ecosystem, enabling rapid development of highly specialized coding assistants.

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
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. OpenAI GPTs / Custom GPTs · recommended 1×
  5. Rasa · recommended 1×
  • CATEGORY QUERY
    How can I develop and manage reusable skills for my AI-powered coding assistant?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPTs / Custom GPTs
    2. LangChain
    3. LlamaIndex
    4. Haystack
    5. Rasa
    6. Dify.AI
    7. Git
    8. GitHub
    9. GitLab

    AI recommended 9 alternatives but never named microsoft/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good frameworks for building custom AI agents that interact with development kits?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. AutoGPT
    6. Microsoft Semantic Kernel
    7. AgentVerse

    AI recommended 7 alternatives but never named microsoft/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
    pass

  • 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?
    pass
    AI named microsoft/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 microsoft/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/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/skills solve, and who is the primary audience?
    pass
    AI named microsoft/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/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/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