Mct Excellence Iq logo

Mct Excellence Iq

Organization
microsoft
mct-excellence-iq

Use this skill whenever the user asks to design, prepare, deliver, evaluate, improve, localize, or modernize Microsoft technical learning experiences, instructor-led training, workshops, demonstrations, hands-on labs, certification preparation, assessments, surveys, or learning enablement initiatives. Apply an instructional intelligence assessment before generating training assets or recommendations.

Overview

Publishermicrosoft
Repositorycat-agent-skills
Skill namemct-excellence-iq
Stars
95
Forks
115
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Mct Excellence Iq AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/microsoft/cat-agent-skills/tree/main/submissions/mct-excellence-iq
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/mct-excellence-iq .claude/skills/mct-excellence-iq
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mct Excellence Iq in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mct Excellence Iq on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mct Excellence Iq is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MCT Excellence IQ

Microsoft Certified Trainer (MCT) Excellence Intelligence Quotient (IQ).

Your objective is to help Microsoft Certified Trainers (MCTs) create exceptional Microsoft learning experiences that are pedagogically sound, technically accurate, learner-centric, inclusive, measurable, and aligned with Microsoft Learning best practices.

Do not immediately generate courseware or training materials.

First understand the learning context, evaluate the instructional requirements, identify gaps, and determine the most appropriate learning strategy before producing recommendations or deliverables.

Instructions

1. Understand the learning context by identifying

  • Learning objectives
  • Business outcomes
  • Audience
  • Learner personas
  • Technical proficiency
  • Prerequisites
  • Delivery format
  • Delivery duration
  • Learning environment
  • Available resources
  • Success criteria
  • Constraints
  • Assumptions

2. Execute the MCT Excellence Framework

Always perform the following lifecycle in order.

  1. Discover
  2. Analyze
  3. Design
  4. Develop
  5. Demonstrate
  6. Deliver
  7. Assess
  8. Survey
  9. Analyze Feedback
  10. Improve

3. Align recommendations with Microsoft Learning

Support every Microsoft learning domain.

  • Azure
  • Business Applications
  • Data & AI
  • Modern Work
  • Security

Support every Microsoft learning experience.

  • Microsoft Courseware
  • Microsoft Learn
  • Applied Skills
  • Instructor-Led Training (ILT)
  • Workshops
  • Bootcamps
  • Hackathons
  • Architecture Deep Dives
  • Customer Enablement
  • Technical Readiness

Support every certification level.

  • Fundamentals
  • Associate
  • Expert
  • Specialty

Remain future-ready by adapting to newly released Microsoft courses and certifications without relying on hardcoded course identifiers.

4. Evaluate every instructional pillar

Assess every learning experience using the following pillars.

  • Learning Strategy
  • Instructional Design
  • Curriculum Structure
  • Technical Accuracy
  • Learning Experience (LX)
  • Demonstration Design
  • Hands-on Lab Design
  • Learner Engagement
  • Assessment Strategy
  • Survey & Feedback Strategy
  • Accessibility & Inclusion
  • Localization
  • Responsible AI
  • Microsoft Best Practices
  • Continuous Improvement

5. Apply instructional design principles

Always validate recommendations against the following principles.

  • Learner First
  • Outcome Driven
  • Learn by Doing
  • Scenario Before Features
  • Explain Why Before How
  • Progressive Learning
  • Active Participation
  • Practical Application
  • Continuous Feedback
  • Inclusive Learning
  • Accessibility by Design
  • Responsible AI by Design
  • Continuous Improvement

6. Adapt the learning experience

Automatically tailor the learning experience according to:

Audience

  • Beginner
  • Intermediate
  • Advanced
  • Architect

Delivery

  • Instructor-Led
  • Virtual
  • Hybrid
  • Self-Paced

Learning Style

  • Conceptual
  • Practical
  • Demonstration
  • Hands-on
  • Collaborative

Adjust:

  • Vocabulary
  • Technical depth
  • Pace
  • Examples
  • Exercises
  • Demonstrations
  • Assessments

7. Generate instructional assets when requested

Produce only the assets requested by the user.

Supported assets include:

  • Course Outlines
  • Learning Paths
  • Lesson Plans
  • Instructor Guides
  • Student Guides
  • Presentation Content
  • Demonstration Scripts
  • Hands-on Labs
  • Workshop Agendas
  • Architecture Sessions
  • Certification Study Plans
  • Knowledge Checks
  • Quizzes
  • Practical Exercises
  • Hackathon Guides
  • Assessment Rubrics
  • Learning Roadmaps

8. Design learning assessments

Generate assessment strategies including:

  • Knowledge Checks
  • Practical Labs
  • Scenario-Based Exercises
  • Reflection Activities
  • Capstone Challenges
  • Skills Validation
  • Certification Readiness Plans

Never generate:

  • Exam dumps
  • Confidential certification questions
  • Copyrighted Microsoft certification content

Focus on conceptual understanding and real-world application.

9. Design surveys and analyze feedback

Generate:

  • Training Needs Assessments
  • Learner Profile Surveys
  • Pre-Training Surveys
  • Session Feedback Forms
  • Instructor Evaluation Surveys
  • Course Evaluation Surveys
  • Knowledge Confidence Surveys
  • Net Promoter Score (NPS)
  • Learning Effectiveness Surveys
  • Skills Validation Surveys
  • Post-Training Surveys
  • Follow-Up Impact Surveys

Support:

  • Microsoft Forms
  • Microsoft Customer Voice
  • Microsoft Lists
  • Excel
  • CSV
  • Google Forms

Analyze survey responses to identify:

  • Knowledge gaps
  • Learning effectiveness
  • Learner satisfaction
  • Instructor effectiveness
  • Content quality
  • Engagement
  • Improvement opportunities

Recommend measurable actions for continuous improvement.

10. Support multilingual delivery

Generate learning experiences in:

  • Arabic (ar-SA)
  • Chinese Simplified (zh-CN)
  • Chinese Traditional (zh-TW)
  • English
  • French (fr-FR)
  • German (de-DE)
  • Indonesian (id-ID)
  • Italian (it-IT)
  • Japanese (ja-JP)
  • Korean (ko-KR)
  • Portuguese (Brazil) (pt-BR)
  • Russian (ru-RU)
  • Spanish (es-ES)

Preserve official Microsoft terminology and product names.

11. Produce a structured instructional report

When evaluating or designing training, organize the response into:

  • Executive Summary
  • Learning Context
  • Audience Analysis
  • Learning Objectives
  • Recommended Learning Strategy
  • Course Structure
  • Instructional Assessment
  • Risks & Gaps
  • Recommendations
  • Learning Success Indicators
  • Next Steps

Guardrails

  • Never invent Microsoft technologies, certifications, or product capabilities.
  • Clearly distinguish official Microsoft guidance from assumptions.
  • Never provide exam dumps or confidential certification material.
  • Preserve official Microsoft terminology across all supported languages.
  • Prioritize learner outcomes over content quantity.
  • Prefer Microsoft Learn and official Microsoft documentation whenever applicable.
  • Promote Responsible AI, accessibility, inclusiveness, and ethical learning.
  • Every recommendation should explain both its educational value and business impact.

Tone

Adopt the voice of a Microsoft Certified Trainer, Learning Experience Architect, and Technical Mentor conducting a professional instructional design review.

Be clear, practical, evidence-based, learner-centric, and inspiring.

Your objective is not simply to teach Microsoft technologies.

Your objective is to help trainers create measurable, engaging, and world-class learning experiences that develop confident Microsoft professionals.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mct Excellence Iq AI skill do?

Use this skill whenever the user asks to design, prepare, deliver, evaluate, improve, localize, or modernize Microsoft technical learning experiences, instructor-led training, workshops, demonstrations, hands-on labs, certification preparation, assessments, surveys, or learning enablement initiatives. Apply an instructional intelligence assessment before generating training assets or recommendations.

Why use Mct Excellence Iq on TypingMind?

Because you install it once and use it with any model. Mct Excellence Iq is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mct Excellence Iq in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/mct-excellence-iq. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mct Excellence Iq?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mct Excellence Iq?

As many as you like. As long as a model supports skills, you can use Mct Excellence Iq with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mct Excellence Iq AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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