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dt-coaching-foundation

Grounds Design Thinking coaching behavior in identity, quality, sequencing, and state references.

1.4k|284|Updated Nov 2, 2025
Search Tags:#design thinking#user research#prototyping#powerpoint#coaching#facilitation#session state
One-click install
npx skills add https://github.com/microsoft/hve-core --skill dt-coaching-foundation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-coaching-foundation
Source: https://github.com/microsoft/hve-core/tree/main/.github/skills/design-thinking/dt-coaching-foundation
Command: npx skills add https://github.com/microsoft/hve-core --skill dt-coaching-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Design Thinking coaching sessions can drift in tone, skip quality gates, lose track of method progress, or mishandle artifact generation. This Skill gives the dt-coach agent a stable foundation of coaching identity, fidelity constraints, method sequencing rules, and session state management so coaching stays consistent across all nine Design Thinking methods.

Core Features & Use Cases

  • Coaching Identity & Philosophy: Defines the Think/Speak/Empower response model, coaching boundaries, the four-level Progressive Hint Engine, and psychological safety conventions.
  • Quality & Fidelity Constraints: Enforces anti-polish rules and per-space quality expectations (Problem, Solution, Implementation) before any artifact is generated.
  • Method Sequencing & State Recovery: Provides the nine-method transition protocol, non-linear iteration guidance, and a YAML coaching-state schema for persisting and resuming sessions.
  • Canonical Deck Workflow: Governs the opt-in canonical markdown artifacts and customer-card PowerPoint generation, including offer points and runtime-specific build paths.
  • Use Case: A product team running a Design Thinking engagement resumes a session after a week; the coach reads the coaching-state file, restores the current method and phase, and continues coaching with consistent identity and quality enforcement.

Quick Start

Ask the dt-coach agent to start a Design Thinking coaching session for your project and it will load this foundation to guide method transitions and artifact quality.

Frequently Asked Questions about dt-coaching-foundation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a Design Thinking coaching session with an AI agent?▼

Start a session with the dt-coach agent, which loads this foundation skill to establish coaching identity, quality rules, and method sequencing. It tracks progress in a coaching-state file under .copilot-tracking/dt/{project-slug}/ and guides you through the nine methods.

What are the nine Design Thinking methods in this coaching workflow?▼

The nine methods span three spaces: Scope Conversations, Design Research, and Input Synthesis (Problem); Brainstorming, User Concepts, and Lo-Fi Prototypes (Solution); Hi-Fi Prototypes, User Testing, and Iteration at Scale (Implementation). Each has defined outputs and exit signals.

How does the coach resume a Design Thinking session after a break?▼

The coach reads the coaching-state.md YAML file in the project directory, restores the current method, space, and phase, reviews transition and session logs, then announces the resumed state. If the file is missing or corrupted, it offers to reinitialize or reconstruct from artifacts.

Can the coach generate a PowerPoint deck from Design Thinking artifacts?▼

Yes, through the opt-in canonical deck workflow. Canonical markdown artifacts are created or refreshed at eligible method exits, and a customer-card PowerPoint can be built via the customer-card-render and powerpoint skills using runtime-appropriate scripts.

Why does the coach prevent polished prototypes early in the process?▼

The quality constraints enforce an anti-polish stance because polished artifacts invite approval feedback instead of critical insight. Fidelity stays matched to the current method so teams surface honest reactions and discover constraints quickly.

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