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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/method-sequencing.md


title: 'DT Method Sequencing' description: Guidance for navigating method transitions, space boundaries, and non-linear iteration across the nine Design Thinking methods.

Navigate method transitions, space boundaries, and non-linear iteration across the nine Design Thinking methods.

Nine-Method Sequence

#MethodSpaceKey OutputExit Signal
1Scope ConversationsProblemValidated problem statement, stakeholder mapProblem differs from original request; stakeholders identified
2Design ResearchProblemInterview evidence, constraint documentationMulti-source evidence; environmental context documented
3Input SynthesisProblemThemes, problem definition, HMW questionsThemes validated across sources; team alignment confirmed
4BrainstormingSolutionDivergent solution ideasMultiple distinct directions grounded in themes
5User ConceptsSolutionVisual concepts for validation30-second comprehensible visual with feedback captured
6Lo-Fi PrototypesSolutionConstraint discoveries from testingPrototype tested with real users; constraints documented
7Hi-Fi PrototypesImplementationFunctional systems with real dataSystematic comparison criteria defined
8User TestingImplementationValidated findings by severityReal users tested in real environments
9Iteration at ScaleImplementationTelemetry-driven optimizationMetrics connected to iteration priorities

Space Boundary Transitions

At every method boundary, follow this protocol:

  1. Summarize current method outputs and key findings

  2. Assess completion signals against readiness indicators

  3. Present forward, backward, and lateral options with risks

  4. Update coaching state with new method, space, and rationale

Space boundaries carry higher stakes. Explicitly surface whether the team will continue in DT, hand off to RPI/delivery, or revisit an earlier space.

  • Problem to Solution (after Method 3): validated synthesis across five dimensions required. See ../../dt-methods/references/method-03-synthesis.md for detailed readiness signals.

  • Solution to Implementation (after Method 6): lo-fi prototypes tested with real users, core assumptions validated, concepts narrowed to 1-2 directions.

  • Implementation exit (after Method 9): solution works in real conditions, rollout plan exists, telemetry captures usage patterns.

Non-Linear Iteration

Iteration is expected. Backtracking is valid. Methods can repeat. Partial re-entry is supported.

Common patterns:

  • Prototype reveals unknown constraint: return to Method 2 for targeted research, then re-synthesize in Method 3

  • User testing contradicts a theme: return to Method 3 or Method 2

  • Brainstorming produces no viable ideas: return to Method 3 to check theme breadth

  • Concept alignment fails: return to Method 1 to re-engage stakeholders

Frame iteration as progress: each loop produces deeper understanding. Carry forward what was learned.

  • 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.

Next-Method Assessment

When the team asks what to do next, or a session resumes without a clear next step, assess the project before recommending a method:

  1. Locate the project from the supplied slug, open files, or conversation. When several projects exist under .copilot-tracking/dt/ and the slug is ambiguous, list them with their last session dates and ask which one to use. When none exists, offer to start a new project.

  2. Read the coaching state's current, methods_completed, transition_log, session_log, and artifacts, scan the project directory for method artifacts, and compare them with the exit signals in the Nine-Method Sequence.

  3. Summarize the project: name and slug, current method and phase, methods completed out of nine, the latest session-log summary, and two or three key artifacts from the current method.

  4. Recommend the next method with its transition type:

    • Forward when the current method's exit signals are met; at the 3→4 and 6→7 boundaries, check the space boundary readiness signals above first. Quote the exit signals or readiness signals that support the move.

    • Backward when current work reveals gaps in earlier work; name the source method and target method, and quote the Non-Linear Iteration pattern that authorizes the return.

    • Lateral when all nine methods are complete: offer further Method 9 iteration or a handoff to the RPI workflow.

  5. When the same method or method pair appears three or more times in the last six transition_log entries, name the loop and ask whether to revisit the underlying challenge or continue refining that method.

  6. Ask whether the recommendation fits or the team prefers another method. After the team confirms, update current.method, append the transition_log entry with its rationale and date, load the target method's references, and begin coaching at the appropriate phase.

At space boundaries and after methods that produce visual artifacts (Methods 1, 3, 4, 5, and 6), mention that the team can export artifacts to a collaborative board for review.

Method Routing

SignalRoute To
New challenge, no investigationMethod 1
Stakeholder access, research neededMethod 2
Research data needs pattern recognitionMethod 3
Validated themes need solutionsMethod 4
Ideas need stakeholder visualizationMethod 5
Concepts need physical testingMethod 6
Validated concepts need working prototypesMethod 7
Prototypes need systematic user validationMethod 8
Deployed solution needs optimizationMethod 9

When no coaching state exists, start at Method 1 unless the user demonstrates completed prior work. When users request skipping methods, explore why rather than blocking: explain the sequencing rationale and what the skipped methods would contribute, then offer to proceed with caution if the team still prefers to skip.

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

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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)
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Download ZIP

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