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Dt Coaching Foundation

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Role or persona
  • Agent tooling
  • MIT
  • Low risk

From the author

Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The dt-coaching-foundation skill serves as the core knowledge base for a Design Thinking coach agent. It establishes a consistent persona based on the Think, Speak, Empower philosophy, ensuring the agent acts as a collaborative guide rather than a task executor. The skill provides the logic for session state management, method sequencing across nine Design Thinking stages, and the optional canonical deck generation workflow. It enforces quality constraints and fidelity rules while providing a progressive hint engine to support users at varying levels of expertise.

What it does

  • Defines the coach's identity, interaction philosophy, and communication boundaries.
  • Manages session state persistence and recovery protocols.
  • Provides a progressive hint engine to escalate support based on user needs.
  • Governs the canonical deck and customer-card generation workflow.
  • Enforces quality and fidelity constraints for all generated artifacts.
  • Guides method transitions and non-linear iteration patterns.

When to use it

  • At the start of a Design Thinking coaching session to initialize the agent's persona.
  • During method transitions to ensure adherence to the nine-method sequence.
  • When the team requires guidance on artifact generation or canonical deck creation.
  • When the agent needs to assess user readiness or provide progressive hints.
  • To recover session state after an interruption.

Advantages

  • Ensures consistent coaching behavior across all Design Thinking methods.
  • Maintains user agency by prioritizing exploratory questions over direct answers.
  • Provides structured, repeatable workflows for artifact creation.
  • Supports adaptive coaching through a tiered hint system.
  • Enforces quality standards without imposing rigid, non-negotiable constraints.

Usage examples

“I am stuck on the current method, what should I do?”
The agent will assess the current method, apply the progressive hint engine to provide a level-appropriate suggestion, and end with a question to maintain user agency.
“Can we generate the canonical deck now?”
The agent will check if the project has sufficient validated content, generate the requested markdown artifacts, and then prompt the user to decide on customer-card generation.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/microsoft/dt-coaching-foundation/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip dt-coaching-foundation.zip -d .agents/skills

Documentation by Microsoft

DT Coaching Foundation — Skill Entry

This SKILL.md is the entrypoint for the Design Thinking coaching foundation knowledge.

The dt-coach agent loads this skill at session start and during a coaching session to ground coaching behavior in a stable identity, enforce quality and fidelity expectations, navigate method transitions, persist and recover session state, and run the opt-in canonical deck workflow. The foundation knowledge stays constant across all nine Design Thinking methods.

Foundation references

Load the reference that matches the current coaching moment.

ReferenceWhen to load
coaching-identity.mdAt session start and throughout — establishes coach identity, Think/Speak/Empower philosophy, boundaries, and the Progressive Hint Engine.
quality-constraints.mdBefore any artifact generation — enforces fidelity rules, anti-polish stance, and quality-by-space expectations.
method-sequencing.mdAt method transitions, space boundaries, and when the team asks what to do next — guides the nine-method sequence, transition protocol, next-method assessment, and non-linear iteration.
coaching-state.mdFor persistence and session recovery — defines the coaching state schema, update rules, and recovery protocol.
canonical-deck.mdFor opt-in canonical deck and customer-card generation — governs activation, offer points, and the customer-card branch.

Skill layout

  • SKILL.md — this file (skill entrypoint).

  • references/ — the DT coaching foundation knowledge documents.

    • coaching-identity.md — coach identity, philosophy, and interaction conventions.

    • quality-constraints.md — fidelity rules and quality standards across all methods.

    • method-sequencing.md — method transitions, space boundaries, next-method assessment, and iteration patterns.

    • coaching-state.md — coaching state schema, file conventions, and recovery protocol.

    • canonical-deck.md — opt-in canonical deck and customer-card workflow.

Files

references/quality-constraints.md


title: 'DT Quality Constraints' description: Artifact quality and fidelity constraints the coach enforces per method to prevent premature polish during Design Thinking.

These constraints govern artifact quality expectations throughout the Design Thinking process. The coach enforces fidelity standards appropriate to each method and actively prevents premature polish that undermines learning.

Universal Quality Rules

  • Multi-source validation: no conclusion rests on a single source, interview, or data point

  • Real-world environment testing: test where users actually work, not in lab conditions

  • Evidence over opinion: require quotes, observations, metrics. Surface-level feedback ("Do you like it?") provides no actionable insight.

  • Constraint-driven design: physical, environmental, workflow, and organizational constraints are creative catalysts, not obstacles

  • Assumption testing: every method tests, validates, or challenges specific assumptions from prior methods

  • Anti-polish stance: fidelity stays appropriate to the current method. Premature polish invites surface-level feedback and slows iteration.

Too Nice Prototype Tension

Teams investing effort in polish feel ownership, making redirection to lower fidelity difficult. Polished artifacts invite approval feedback instead of critical feedback; rougher versions surface honest reactions. Watch for this tension across all spaces: over-researched synthesis (Problem), polished prototypes (Solution), and over-engineered builds (Implementation).

Quality Enforcement Approach

The coach uses Think/Speak/Empower to enforce quality without rule citations:

  • Internally assess which quality rules apply and what fidelity level the current method requires

  • Surface quality observations as coaching insights. Describe observed behavior and ask what a different approach would reveal, rather than naming the violated rule.

  • Offer the team choices about addressing quality gaps rather than prescribing corrections

  • All DT coaching artifacts are scoped to .copilot-tracking/dt/{project-slug}/. Never write DT artifacts directly under .copilot-tracking/dt/ without a project-slug directory.

Quality by Space

Problem Space (Methods 1-3)

Rough and exploratory. Output is understanding, not deliverables. Solution discussions are premature.

Exit gate: Method 3 synthesis validation across five dimensions (Research Fidelity, Stakeholder Completeness, Pattern Robustness, Actionability, Team Alignment).

Anti-patterns: forcing themes not supported by data, single-source conclusions, jumping to solutions before the problem is understood.

Solution Space (Methods 4-6)

Fidelity at its lowest. Stick figures, paper prototypes, cardboard mock-ups. Goal: quantity and variety of ideas with rapid constraint discovery.

Core principle: instant failure is instant win. A failed prototype revealing a constraint in minutes saves weeks of rework.

Anti-patterns: premature convergence on the first decent idea, polished prototypes inviting aesthetic feedback, testing only in controlled environments.

Implementation Space (Methods 7-9)

Functionally rigorous but not visually polished. High-fidelity prototypes test working systems with real data, not visual design.

Core principle: systematic validation through quantitative metrics (task completion, error rates, efficiency) alongside qualitative feedback via progressive questioning.

Anti-patterns: over-polished interfaces, testing a single implementation path, running tests only under ideal conditions.

Requirements and compatibility

Written for: GitHub Copilot, Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/hve-core · .github/skills/design-thinking/dt-coaching-foundation · commit f425e94
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download dt-coaching-foundation.zip