dt-curriculum

Design Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared…

npx skills add https://github.com/microsoft/hve-core --skill dt-curriculum

DT Curriculum — Skill Entry

This SKILL.md is the entrypoint for the Design Thinking learning curriculum.

The dt-learning-tutor agent loads this skill to teach Design Thinking concepts, run comprehension checks, and assign practice exercises. The curriculum spans nine progressive modules — one per Design Thinking method — and a shared manufacturing reference scenario that threads through every module so learners build on consistent context as they advance from the Problem Space to the Implementation Space.

Curriculum references

Load the module that matches the method the learner is studying. Load the manufacturing scenario alongside any module that uses scenario-based checks or exercises.

ReferenceWhen to load
curriculum-01-scoping.mdTeaching Method 1: Scope Conversations (Problem Space).
curriculum-02-research.mdTeaching Method 2: Design Research (Problem Space).
curriculum-03-synthesis.mdTeaching Method 3: Synthesis (Problem Space).
curriculum-04-brainstorming.mdTeaching Method 4: Brainstorming (Solution Space).
curriculum-05-concepts.mdTeaching Method 5: User Concepts (Solution Space).
curriculum-06-prototypes.mdTeaching Method 6: Low-Fidelity Prototypes (Solution Space).
curriculum-07-testing.mdTeaching Method 7: High-Fidelity Prototypes (Implementation Space).
curriculum-08-iteration.mdTeaching Method 8: User Testing (Implementation Space).
curriculum-09-handoff.mdTeaching Method 9: Iteration at Scale (Implementation Space).
curriculum-scenario-manufacturing.mdAlongside any module using scenario-based comprehension checks or practice exercises.

Skill layout

  • SKILL.md — this file (skill entrypoint).
  • references/ — the DT curriculum knowledge documents.
    • curriculum-01-scoping.md through curriculum-09-handoff.md — one module per Design Thinking method.
    • curriculum-scenario-manufacturing.md — shared factory-floor reference scenario used across all nine modules.

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development