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Coaches all nine design thinking methods with industry-aware guidance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "dt-methods" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/hve-core/main/.github/skills/design-thinking/dt-methods/SKILL.md 2. Save it as ~/.claude/skills/dt-methods/SKILL.md 3. Reload skills and tell me it's ready
We are in the Design Research stage of the design thinking process. Based on the core reference for this method, give coaching priorities, common pitfalls, and next actions.
Practical guidance, checkpoints, and next actions for the active method.
When the team gets stuck during brainstorming, switch to the deep reference for Brainstorming and provide advanced facilitation, recovery techniques, and expert frameworks.
Advanced facilitation methods and unblock techniques.
The team is in healthcare. Adapt the User Testing guidance using that industry's vocabulary, constraints, and empathy tools.
Design thinking guidance adapted to the industry context.
Product, design, or research teams can get guidance for the current stage and switch to deep references when needed. This keeps coaching aligned with the process.
When a team identifies an industry context such as energy, finance, healthcare, or manufacturing, the skill weaves in relevant language, constraints, and empathy tools to improve practicality.
When research, brainstorming, prototyping, or testing gets stuck, deeper references provide recovery flows, facilitation techniques, and expert frameworks.
This document explains how the Design Thinking Methods Skill works in coaching workflows. It loads the core reference for the active method, the deep reference when advanced facilitation or recovery is needed, and an industry reference when a team has a specific context. It also lists the nine design thinking methods and mentions telemetry guidance for observable DT session artifacts.
Entrypoint for Design Thinking method coaching knowledge. The dt-coach agent loads the method reference matching the active method in coaching state, the matching deep reference when advanced technique is needed, and the industry reference when an industry context applies.
telemetry-foundations.| Method | Name | Core reference | Deep reference |
|---|---|---|---|
| 1 | Scope Conversations | method-01-scope.md | method-01-deep.md |
| 2 | Design Research | method-02-research.md | method-02-deep.md |
| 3 | Input Synthesis | method-03-synthesis.md | method-03-deep.md |
| 4 | Brainstorming | method-04-brainstorming.md | method-04-deep.md |
| 5 | User Concepts | method-05-concepts.md | method-05-deep.md |
| 6 | Low-Fidelity Prototypes | method-06-lofi-prototypes.md | method-06-deep.md |
| 7 | High-Fidelity Prototypes | method-07-hifi-prototypes.md | method-07-deep.md |
| 8 | User Testing | method-08-testing.md | method-08-deep.md |
| 9 | Iteration at Scale | method-09-iteration.md | method-09-deep.md |
Load the matching reference when the team identifies its industry context.
| Reference | When to load |
|---|---|
| industry-energy.md | Energy-sector vocabulary, constraints, empathy tools, and reference scenario. |
| industry-financial-services.md | Financial services vocabulary, constraints, empathy tools, and reference scenario. |
| industry-healthcare.md | Healthcare vocabulary, constraints, empathy tools, and reference scenario. |
…
It provides coaching knowledge for nine design thinking methods, including core references, deep references, and industry context references. It is used to guide work by stage.
Use the deep reference when the conversation needs advanced facilitation, recovery techniques, or expert frameworks beyond the core method guidance.
Yes. The documentation lists nine industry contexts. When a team identifies its industry, the guidance should incorporate that industry's vocabulary, constraints, and empathy tools.
Provides the foundational rules and workflow for Design Thinking coaching.
Helps you write cleaner, safer, more maintainable Python code.
Turns Design Thinking outputs into RPI-ready handoff context.
Compress replies to terse, accurate output with selectable intensity levels.
Use a Python CLI to automate reading and writing Mural content.
Review code changes across perspectives and produce structured findings.
Teaches Design Thinking through nine progressive learning modules.
Structure system design discussions across architecture, tradeoffs, risks, and migration planning.
Generate innovative ideas with structured creative thinking and perspective-shifting methods.
Review system designs with a seven-step method to surface risks and improvements.
Turn Design Thinking artifacts into customer-card PowerPoint decks.