Coaching identity, quality constraints, and methodology instructions for AI-enhanced design thinking across nine methods. The collection supports the HVE Design Thinking pyramid structure spanning Problem, Solution, and Implementation spaces.

> **Preview** — Core features are complete and functional. Suitable for adoption with the understanding that refinements may follow.

This collection includes agents, prompts, and instructions for:

- **DT Start Project** — Initializes a new Design Thinking coaching project with state file creation, frozen/fluid classification, and first Method 1 coaching interaction
- **DT Resume Coaching** — Resumes an existing coaching session from saved state, restoring context from the project's coaching state file
- **DT Method Next** — Assesses current coaching state and recommends the next method with sequencing validation, handling edge cases for no project, all methods complete, and iteration loops
- **DT Handoff Implementation Space** — Implementation Space exit handoff that compiles DT Methods 7-9 outputs into an RPI-ready artifact with tiered routing to task-planner or task-implementor, handoff lineage from all nine methods, content sanitization, and a completion ceremony
- **DT Handoff Problem Space** — Problem Space exit handoff that compiles DT Methods 1-3 outputs into an RPI-ready artifact targeting task-researcher, with readiness assessment and quality markers
- **DT Method 4: Ideation** — Divergent idea generation with constraint-informed creativity for Method 4b brainstorming
- **DT Method 4: Convergence** — Theme discovery through philosophy-based clustering for Method 4c brainstorming
- **DT Method 5: Concepts** — Concept articulation from brainstorming themes for Method 5b user concepts
- **DT Method 5: Evaluation** — Stakeholder alignment and three-lens evaluation for Method 5c user concepts
- **DT Method 6: Planning** — Concept analysis and prototype approach design for Method 6a lo-fi prototyping
- **DT Method 6: Building** — Scrappy prototype building with fidelity enforcement for Method 6b
- **DT Method 6: Testing** — Hypothesis-driven testing and constraint validation for Method 6c
- **DT Canonical Deck** — Unified opt-in workflow for canonical deck offers, snapshot refresh decisions, and customer-card PowerPoint build orchestration from canonical artifacts
- **DT Coaching Identity** — Defines the coach's interaction philosophy (Think, Speak, Empower), progressive hint engine, psychological safety patterns, and hat-switching framework for consistent behavior across all nine methods
- **DT Figma Export** — Export Design Thinking artifacts to collaborative FigJam boards or Figma Design files using the official Figma MCP server
- **DT Coach**: Conversational coaching agent that guides teams through all 9 methods with Think/Speak/Empower philosophy
- **DT Coaching State** — Session persistence schema, method progress tracking, canonical deck render state, and session recovery protocol enabling the coach to resume seamlessly across conversations
- **DT Method Sequencing** — Governs the nine-method sequence across three spaces, space boundary transition protocols with readiness signals, non-linear iteration patterns, method routing logic, and coaching state tracking
- **DT Quality Constraints** — Quality constraints, fidelity rules, and output standards for Design Thinking coaching across all nine methods
- **DT Method 01: Scope Conversations** — Frozen vs fluid assessment, stakeholder discovery, constraint patterns, and conversation navigation for transforming initial customer requests into genuine understanding of business challenges
- **DT Method 01 Deep** — Advanced stakeholder analysis, power dynamics, and scope negotiation expertise loaded on-demand for complex Method 1 coaching scenarios
- **DT Method 02: Design Research** — Interview techniques, research planning, environmental observation, and insight extraction patterns for systematic discovery of end-user needs through direct engagement across three phases: planning, execution, and documentation
- **DT Method 02 Deep: Advanced Design Research** — On-demand deep reference covering advanced interview techniques, ethnographic observation methods, evidence triangulation, and manufacturing research patterns; loaded by the coach for complex research scenarios requiring specialist guidance
- **DT Method 03: Input Synthesis** — Pattern recognition, theme development, synthesis validation, and Problem-to-Solution Space transition readiness for transforming fragmented research data into unified problem understanding
- **DT Method 03 Deep** — Advanced affinity analysis with multi-pass clustering, insight frameworks with observation-inference-insight formula, HMW question scaffolding, problem statement articulation, and manufacturing synthesis patterns
- **DT Method 04 Deep: Advanced Brainstorming Techniques** — Advanced facilitation techniques (brainwriting, morphological analysis, provocation), creative block recovery, convergence frameworks (impact/effort matrix, weighted D/F/V scoring), and cross-pollination from analogous industries loaded on-demand for complex Method 4 coaching scenarios
- **DT Industry: Healthcare** — Healthcare-specific vocabulary mapping, constraints (HIPAA, patient safety, clinical workflow), empathy tools (patient journey mapping, clinician shadow), and an ED wait-time reference scenario for on-demand industry context loading
- **DT→RPI Handoff Contract** — Exit-point definitions, artifact schemas, per-agent input contracts, graduation awareness behavior, and quality markers for lateral transitions from Design Thinking coaching into the RPI workflow
- **DT RPI Implementation Context** — DT-aware task-implementor augmentation that enforces space-appropriate fidelity constraints, stakeholder validation against handoff maps, confidence-marker handling, and return path triggers when operating on DT artifacts
- **DT RPI Planning Context** — DT-aware task-planner augmentation that shapes implementation planning around fidelity constraints, iteration support, confidence-informed risk assessment, and stakeholder-segmented success criteria when operating on DT artifacts
- **DT RPI Research Context** — DT-aware task-researcher augmentation that frames research around stakeholder needs, quality-marked findings, assumption validation, and return path triggers when operating on DT artifacts
- **DT RPI Review Context** — DT-aware task-reviewer augmentation that defines quality criteria per artifact type (coaching, method, deep, industry, handoff, agent, output), review checklist additions for coaching tone and fidelity enforcement, anti-patterns to flag, and severity mapping for Design Thinking artifacts
- **DT Method 07: High-Fidelity Prototypes** — Technical translation, functional prototypes, and specifications for Implementation Space entry with three-hat architecture and progressive fidelity modeling
- **DT Method 07: Deep Expertise** — On-demand fidelity translation, architecture trade-off analysis, specification writing patterns, and manufacturing-specific prototyping guidance for complex Method 7 coaching scenarios
- **DT Method 08: User Testing** — Evidence-based evaluation, test protocols, and non-linear iteration support for structured user testing of hi-fi prototypes with leap-enabling questioning and loop decision coaching
- **DT Method 08 Deep** — Advanced test design, small-sample analysis, iteration triggers, and bias mitigation expertise loaded on-demand for complex Method 8 coaching scenarios
- **DT Method 09: Iteration at Scale** — Continuous optimization through telemetry-driven enhancement, systematic refinement cycles, and organizational deployment planning covering change management, training, and adoption metrics
- **DT Method 09 Deep** — Advanced organizational change management (ADKAR framework), scaling patterns, adoption measurement systems, scaling anti-patterns, and manufacturing deployment strategies loaded on-demand for complex Method 9 coaching scenarios
- **DT Industry: Manufacturing** — On-demand industry context providing manufacturing vocabulary mapping, operational constraints (safety culture, shift patterns, union dynamics), empathy tools (gemba walk, shift-handoff observation, operator shadow), and a reference scenario for contextualizing Design Thinking coaching in manufacturing environments
- **DT Industry: Energy** — On-demand energy-sector context providing vocabulary mapping (NERC/FERC/SCADA terminology), critical infrastructure constraints (regulatory weight, long asset lifecycles, security classification), empathy tools (control room observation, field ride-along, regulatory timeline mapping), and a renewable integration reference scenario
- **DT Curriculum Module 1: Scope Conversations** — Key concepts (frozen vs fluid requests, stakeholder mapping, constraint discovery), progressive questioning techniques, comprehension checks, and manufacturing practice exercises for teaching Method 1
- **DT Curriculum Module 2: Design Research** — Key concepts (genuine need discovery, environmental context, universal discovery sequence), contextual inquiry techniques, comprehension checks, and manufacturing practice exercises for teaching Method 2
- **DT Curriculum Module 3: Synthesis** — Key concepts (multi-source pattern recognition, theme development, context preservation), affinity clustering techniques, comprehension checks, and manufacturing practice exercises for teaching Method 3
- **DT Curriculum Module 4: Brainstorming** — Key concepts (divergent vs convergent phases, constraint-driven creativity, philosophy-based clustering), AI spring-boarding techniques, comprehension checks, and manufacturing practice exercises for teaching Method 4
- **DT Curriculum Module 5: User Concepts** — Key concepts (minimum viable visuals, understanding speed, interaction vs value concepts), stick figure approach and silent review techniques, comprehension checks, and manufacturing practice exercises for teaching Method 5
- **DT Curriculum Module 6: Low-Fidelity Prototypes** — Key concepts (scrappy principle, instant failure as instant win, single-assumption testing), simple material prototyping techniques, comprehension checks, and manufacturing practice exercises for teaching Method 6
- **DT Curriculum Module 7: High-Fidelity Prototypes** — Key concepts (technical feasibility validation, stripped-down functional focus, multiple implementation comparison), hardware and integration testing techniques, comprehension checks, and manufacturing practice exercises for teaching Method 7
- **DT Curriculum Module 8: User Testing** — Key concepts (leap-enabling vs leap-killing questions, non-linear iteration loops, behavior over opinions), task-based testing techniques, comprehension checks, and manufacturing practice exercises for teaching Method 8
- **DT Curriculum Module 9: Iteration at Scale** — Key concepts (telemetry-driven enhancement, high-frequency pattern focus, incremental enhancement), production telemetry techniques, comprehension checks, and manufacturing practice exercises for teaching Method 9
- **DT Curriculum Scenario: Manufacturing** — Factory floor improvement reference scenario (Meridian Components) with interview excerpts, observation data points, and test results used across all 9 curriculum modules for progressive learning exercises
