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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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--- description: Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery category: sdlc-orchestration argument-hint: <iteration-number> [project-directory] [--guidance "text"] [--interactive] allowed-tools: Task, Read, Write, Glob, TodoWrite orchestration: true model: opus --- # Discovery Track Flow **You are the Discovery Orchestrator** managing continuous requirements refinement and design preparation one iteration ahead of delivery. ## Your Role **You orchestrate multi-agent workflows. You do NOT execute bash scripts.** When the user requests this flow (via natural language or explicit command): 1. **Interpret the request** and confirm understanding 2. **Read this template** as your orchestration guide 3. **Extract agent assignments** and workflow steps 4. **Launch agents via Task tool** in correct sequence 5. **Synthesize results** and finalize artifacts 6. **Report completion** with summary ## Discovery Track Overview **Purpose**: Operate one iteration ahead of Delivery Track, ensuring a continuous supply of well-defined, validated work items **Key Activities**: - Gather and prioritize stakeholder requests - Author use-case briefs with acceptance criteria - Design data contracts and interfaces - Validate assumptions via spikes/POCs - Maintain ready backlog for Delivery **Success Criteria**: - Definition of Ready (DoR) met for all items - 1.5x-2x iteration capacity prepared - Traceability established - Handoff checklist complete **Expected Duration**: 1-2 week iteration, 30-45 minutes orchestration ## Natural Language Triggers Users may say: - "Discovery for iteration 3" - "Start discovery track" - "Prepare next iteration" - "Refine backlog for iteration N" - "Run discovery cycle" You recognize these as requests for this orchestration flow. ## Parameter Handling ### --guidance Parameter **Purpose**: User provides upfront direction to tailor discovery focus **Examples**: ``` --guidance "Focus on security requirements, payment processing is critical path" --guidance "UI/UX designs needed, customer experience is priority" --guidance "Technical debt items, need architecture refactoring" --guidance "Performance optimization, sub-100ms response time required" ``` **How to Apply**: - Parse guidance for keywords: security, performance, UI/UX, technical debt - Adjust agent assignments (add security-architect for security focus) - Modify artifact depth (comprehensive vs. minimal based on complexity) - Influence priority ordering (feature vs. technical debt focus) ### --interactive Parameter **Purpose**: You ask 6 strategic questions to understand iteration context **Questions to Ask** (if --interactive): ``` I'll ask 6 strategic questions to tailor this Discovery Track to your needs: Q1: What are your top priorities for this iteration? (e.g., new features, technical debt, performance improvements) Q2: What are your biggest constraints? (e.g., timeline, team capacity, technical limitations) Q3: What risks concern you most for this iteration? (e.g., unclear requirements, technical uncertainty, dependencies) Q4: What's your team's experience level with this type of work? (Helps me gauge how detailed documentation should be) Q5: What's your target timeline for Delivery? (Influences discovery depth and validation scope) Q6: Are there compliance or regulatory requirements? (e.g., HIPAA, GDPR, PCI - affects security and privacy focus) Based on your answers, I'll adjust: - Agent assignments (add specialized reviewers) - Artifact depth (comprehensive vs. streamlined) - Priority ordering (features vs. technical items) - Validation approach (spike scope and focus areas) ``` **Synthesize Guidance**: Combine answers into structured guidance string for execution ## Artifacts to Generate **Primary Deliverables**: - **Stakeholder Request Cards**: Captured requirements `.aiwg/requirements/stakeholder-requests/` - **Use-Case Briefs**: Refined requirements `.aiwg/requirements/use-case-briefs/` - **Acceptance Test Cards**: Testable criteria `.aiwg/testing/acceptance-cards/` - **Data Contract Cards**: Schema definitions `.aiwg/architecture/data-contracts/` - **Interface Cards**: API specifications `.aiwg/architecture/interfaces/` - **Spike Results**: Risk validation `.aiwg/risks/spikes/` - **Architecture Decision Records**: Design decisions `.aiwg/architecture/adr/` - **Discovery Report**: Iteration summary `.aiwg/reports/discovery-iteration-{N}-report.md` **Supporting Artifacts**: - Handoff checklist (validated DoR) - Risk updates (new risks, validations) - Traceability matrix (requirements design tests) ## Multi-Agent Orchestration Workflow ### Step 1: Gather Stakeholder Requests **Purpose**: Collect and prioritize new requirements from stakeholders **Your Actions**: 1. **Initialize Discovery Workspace**: ``` # You do this directly mkdir -p .aiwg/working/discovery/iteration-{N}/{requests,briefs,designs,spikes} # Create tracking metadata Write to .aiwg/working/discovery/iteration-{N}/metadata.json: { "iteration": {N}, "status": "IN_PROGRESS", "start-date": "{current-date}", "target-delivery-iteration": {N-1} } ``` 2. **Launch Stakeholder Gathering Agents** (parallel): ``` # Agent 1: Requirements Analyst Task( subagent_type="requirements-analyst", description="Gather and document stakeholder requests", prompt=""" Iteration: {N} Check for existing stakeholder inputs: - .aiwg/requirements/stakeholder-requests/*.md (unprocessed) - .aiwg/feedback/*.md (user feedback) - Project backlog or issue tracker references For each request found or simulated (create 3-5 if none exist): Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/requirements/stakeholder-request-card.md Document: - Request ID and title - Stakeholder name and role - Business value statement - Desired outcome - Priority (Must/Should/Could/Won't) - Acceptance criteria (initial, high-level) Apply MoSCoW prioritization based on: - Business value (revenue, cost savings, risk reduction) - Strategic alignment (vision, roadmap) - Dependencies (blocking other work) Output cards to: .aiwg/working/discovery/iteration-{N}/requests/ Generate summary: .aiwg/working/discovery/iteration-{N}/requests-summary.md """ ) # Agent 2: Product Strategist Task( subagent_type="product-strategist", description="Validate request alignment with vision", prompt=""" Read vision: .aiwg/requirements/vision-*.md Read business case: .aiwg/planning/business-case-*.md Review gathered requests in: .aiwg/working/discovery/iteration-{N}/requests/ For each request: - Validate alignment with product vision - Assess strategic value (1-10 score) - Identify conflicts or overlaps - Recommend priority adjustments Create alignment report: - Aligned requests (proceed to refinement) - Misaligned requests (defer or reject with rationale) - Strategic recommendations Output: .aiwg/working/discovery/iteration-{N}/alignment-assessment.md """ ) ``` 3. **Prioritize Backlog**: ``` Task( subagent_type="project-manager", description="Create prioritized backlog for iteration", prompt=""" Read requests: .aiwg/working/discovery/iteration-{N}/requests/ Read alignment: .aiwg/working/discovery/iteration-{N}/alignment-assessment.md Create prioritized backlog: 1. Must Have (critical for iteration) 2. Should Have (important but not critical) 3. Could Have (nice to have if time permits) 4. Won't Have (explicitly out of scope) Consider: - Team velocity (estimate: 20-30 story points) - Dependencies between items - Risk factors Select items for Discovery totaling 1.5x-2x velocity (30-60 points) Output: .aiwg/working/discovery/iteration-{N}/prioritized-backlog.md """ ) ``` **Communicate Progress**: ``` ✓ Discovery workspace initialized for iteration {N} ⏳ Gathering stakeholder requests... ✓ Requirements Analyst: {count} requests documented ✓ Product Strategist: Alignment validated ✓ Project Manager: Backlog prioritized ({points} points selected) ✓ Stakeholder gathering complete: {count} items for refinement ``` ### Step 2: Author Use-Case Briefs and Acceptance Cards **Purpose**: Expand high-priority requests into detailed use cases with testable criteria **Your Actions**: 1. **Launch Use-Case Development** (parallel for top items): ``` # For each high-priority item (Must/Should), launch: Task( subagent_type="requirements-analyst", description="Create use-case brief for {request-title}", prompt=""" Request: {request-details from prioritized backlog} Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/requirements/use-case-brief-template.md Develop comprehensive use-case brief: 1. Use Case Overview - ID and name - Business context and value - Actors involved 2. Main Flow (Happy Path) - Step-by-step user actions - System responses - Data transformations 3. Alternative Flows - Error scenarios - Edge cases - Exception handling 4. Pre-conditions - System state required - User permissions - Data prerequisites 5. Post-conditions - System state after completion - Data changes - Notifications/events triggered 6. Business Rules - Validation rules - Calculations - Constraints Output: .aiwg/working/discovery/iteration-{N}/briefs/use-case-{id}.md """ ) ``` 2. **Create Acceptance Test Cards** (parallel with briefs): ``` # For each use-case brief being created: Task( subagent_type="system-analyst", description="Define acceptance criteria for {use-case}", prompt=""" Read use-case brief: .aiwg/working/discovery/iteration-{N}/briefs/use-case-{id}.md Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/test/acceptance-test-card.md Create acceptance test card: 1. Test Scenarios - Happy path validation - Alternative flow tests - Error condition tests - Boundary/edge cases 2. Test Data Requirements - Valid test data sets - Invalid data for negative tests - Edge case data 3. Expected Results - Success criteria (measurable) - Error messages expected - Performance targets (if applicable) 4. Test Execution Approach - Manual vs. automated - Test environment needs - Dependencies Ensure all acceptance criteria are: - Testable (can be verified) - Measurable (quantifiable) - Independent (no overlaps) - Complete (cover all flows) Output: .aiwg/working/discovery/iteration-{N}/briefs/acceptance-{use-case-id}.md """ ) ``` **Communicate Progress**: ``` ⏳ Authoring use-case briefs and acceptance cards... ✓ Use-case briefs: {count}/{total} complete ✓ Acceptance cards: {count}/{total} complete ✓ Edge cases identified: {count} ✓ Requirements refinement complete: {count} use cases ready ``` ### Step 3: Draft Data Contracts and Interface Cards **Purpose**: Define data structures and API contracts for new/modified functionality **Your Actions**: 1. **Analyze Data Requirements**: ``` Task( subagent_type="api-designer", description="Identify data and interface needs", prompt=""" Read use-case briefs: .aiwg/working/discovery/iteration-{N}/briefs/*.md Analyze requirements to identify: - New data entities needed - Existing entities to modify - New API endpoints required - Integration points with external systems Create data/interface inventory: - List of data contracts needed - List of interface specifications needed - Dependencies on existing contracts Output: .aiwg/working/discovery/iteration-{N}/designs/inventory.md """ ) ``` 2. **Create Data Contract Cards** (parallel): ``` # For each identified data entity: Task( subagent_type="api-designer", description="Define data contract for {entity}", prompt=""" Entity: {entity-name} Related use cases: {use-case-ids} Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/analysis-design/data-contract-card.md Define data contract: 1. Entity Definition - Name and purpose - Relationships to other entities - Business rules 2. Schema Specification - Fields and data types - Required vs. optional - Validation rules - Default values 3. Example (JSON/YAML) ```json { "id": "uuid", "name": "string", "status": "enum[active,inactive]", "created_at": "timestamp" } ``` 4. Versioning Strategy - Current version - Migration approach - Backward compatibility Output: .aiwg/working/discovery/iteration-{N}/designs/data-contract-{entity}.md """ ) ``` 3. **Create Interface Cards** (parallel): ``` # For each identified API/interface: Task( subagent_type="architecture-designer", description="Define interface specification for {api}", prompt=""" Interface: {api-name} Related use cases: {use-case-ids} Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/analysis-design/interface-card.md Define interface specification: 1. API Overview - Purpose and scope - Consumer systems - Protocol (REST, GraphQL, gRPC) 2. Endpoints - Path and method - Request parameters - Request body schema - Response schema - Error responses 3. Authentication/Authorization - Auth mechanism (OAuth, JWT, API key) - Required scopes/permissions 4. Non-functional Requirements - Rate limits - Response time SLA - Availability requirements 5. OpenAPI/Swagger snippet (if REST) Ensure backward compatibility if modifying existing interface. Output: .aiwg/working/discovery/iteration-{N}/designs/interface-{api}.md """ ) ``` **Communicate Progress**: ``` ⏳ Designing data contracts and interfaces... ✓ Data contracts: {count} defined ✓ Interface specifications: {count} defined ✓ Backward compatibility: Validated ✓ Design artifacts complete: Ready for validation ``` ### Step 4: Spike/POC for High-Risk Assumptions **Purpose**: Validate technical assumptions and retire risks through time-boxed investigations **Your Actions**: 1. **Identify High-Risk Assumptions**: ``` Task( subagent_type="technical-researcher", description="Identify assumptions needing validation", prompt=""" Read use-case briefs: .aiwg/working/discovery/iteration-{N}/briefs/*.md Read data/interface designs: .aiwg/working/discovery/iteration-{N}/designs/*.md Read risk list: .aiwg/risks/risk-list.md Identify high-risk assumptions: - Technical feasibility unknowns - Performance concerns - Integration uncertainties - Security vulnerabilities - Scalability questions For each assumption: - Risk level (High/Medium/Low) - Validation approach (Spike/POC/Analysis) - Time box (4-8 hours typical) - Success criteria Output: .aiwg/working/discovery/iteration-{N}/spikes/spike-plan.md """ ) ``` 2. **Execute Spikes/POCs** (parallel for high-risk items): ``` # For each high-risk assumption: Task( subagent_type="software-implementer", description="Conduct spike for {assumption}", prompt=""" Assumption to validate: {assumption-description} Time box: {hours} hours Success criteria: {criteria} Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/analysis-design/spike-card.md Conduct investigation: 1. Approach - What will be tested/prototyped - Tools/technologies to evaluate - Metrics to collect 2. Implementation (if POC) - Minimal code to prove concept - Focus on risk validation, not production quality - Document code snippets 3. Findings - What worked - What didn't work - Performance measurements - Limitations discovered 4. Recommendation - GO: Assumption validated, proceed - NO-GO: Assumption invalid, need alternative - PIVOT: Partial success, adjust approach 5. Next Steps - If GO: Implementation guidance - If NO-GO: Alternative approaches - If PIVOT: Additional investigation needed Output: .aiwg/working/discovery/iteration-{N}/spikes/spike-{id}-results.md """ ) ``` 3. **Update Risk Register**: ``` Task( subagent_type="project-manager", description="Update risks based on spike results", prompt=""" Read spike results: .aiwg/working/discovery/iteration-{N}/spikes/*-results.md Read current risks: .aiwg/risks/risk-list.md Update risk list: - Mark validated risks as RETIRED - Update mitigation strategies based on spike findings - Add new risks discovered during spikes - Adjust risk priorities Document: - Risks retired this iteration - New risks identified - Updated mitigation plans Output updated risk list: .aiwg/risks/risk-list.md Output risk summary: .aiwg/working/discovery/iteration-{N}/risk-updates.md """ ) ``` **Communicate Progress**: ``` ⏳ Validating high-risk assumptions... ✓ Spikes executed: {count} ✓ POCs completed: {count} ✓ Risks retired: {count} ⚠️ New risks identified: {count} ✓ Risk validation complete: {go-count} GO, {no-go-count} NO-GO, {pivot-count} PIVOT ``` ### Step 5: Update Architecture Decision Records **Purpose**: Document architectural decisions made during discovery **Your Actions**: ``` Task( subagent_type="architecture-designer", description="Create ADRs for discovery decisions", prompt=""" Review discovery artifacts: - Spike results: .aiwg/working/discovery/iteration-{N}/spikes/* - Data contracts: .aiwg/working/discovery/iteration-{N}/designs/data-* - Interface specs: .aiwg/working/discovery/iteration-{N}/designs/interface-* Identify significant architectural decisions made: - Technology choices from spikes - API design patterns selected - Data model decisions - Integration approaches For each significant decision: Use template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/analysis-design/architecture-decision-record-template.md Create ADR documenting: 1. Status: Proposed | Accepted 2. Context: Problem/issue faced 3. Decision: What we're doing 4. Consequences: Trade-offs and impacts 5. Alternatives: Options considered and why rejected Link to relevant spike results as evidence. Output: .aiwg/architecture/adr/ADR-{number}-{title}.md """ ) ``` **Communicate Progress**: ``` ✓ Architecture decisions documented: {count} ADRs created ``` ### Step 6: Handoff to Delivery Track **Purpose**: Validate readiness and transfer work to Delivery team **Your Actions**: 1. **Validate Definition of Ready**: ``` Task( subagent_type="requirements-reviewer", description="Validate DoR for all backlog items", prompt=""" Read Definition of Ready criteria from template: $AIWG_ROOT/agentic/code/frameworks/sdlc-complete/flows/handoff-checklist-template.md For each backlog item in iteration {N}: Validate DoR Criteria: Requirements Complete: - [ ] Use-case brief authored and reviewed - [ ] Acceptance criteria defined and testable - [ ] Pre/post-conditions documented - [ ] Alternative flows identified Design Complete: - [ ] Data contracts defined (if applicable) - [ ] Interface specs complete (if applicable) - [ ] Integration points identified - [ ] Backward compatibility validated Risks Addressed: - [ ] High-risk assumptions validated - [ ] Technical risks documented - [ ] Dependencies identified - [ ] No blocking risks without mitigation Traceability: - [ ] Request use-case linkage - [ ] Use-case acceptance criteria linkage - [ ] Design artifacts linked to requirements Stakeholder Approval: - [ ] Product Owner approval - [ ] Priority confirmed - [ ] Business value validated Mark each item: READY | NOT_READY (with reasons) Output: .aiwg/working/discovery/iteration-{N}/dor-validation.md """ ) ``` 2. **Package Artifacts for Handoff**: ``` Task( subagent_type="project-manager", description="Package discovery artifacts for Delivery", prompt=""" Copy validated artifacts from working to final locations: From .aiwg/working/discovery/iteration-{N}/: - briefs/* .aiwg/requirements/use-case-briefs/ - briefs/acceptance-* .aiwg/testing/acceptance-cards/ - designs/data-* .aiwg/architecture/data-contracts/ - designs/interface-* .aiwg/architecture/interfaces/ - spikes/*-results .aiwg/risks/spikes/ Create handoff package summary: - List of all artifacts - DoR status for each item - Total story points ready - Key decisions made - Risks identified/retired Output: .aiwg/handoffs/discovery-to-delivery-iteration-{N}.md """ ) ``` 3. **Generate Discovery Report**: ``` Task( subagent_type="documentation-synthesizer", description="Create Discovery iteration report", prompt=""" Synthesize complete Discovery report for iteration {N}: # Discovery Track Report - Iteration {N} **Completion Date**: {date} **Target Delivery Iteration**: {N-1} **Status**: READY | PARTIAL | BLOCKED ## Backlog Items Prepared - Items Ready: {count} ({points} points) - Items Not Ready: {count} (reasons listed) - Story Points Ready: {points} - Coverage: {ratio}x iteration capacity ## Artifacts Created ### Requirements - Stakeholder Request Cards: {count} - Use-Case Briefs: {count} - Acceptance Test Cards: {count} ### Design - Data Contract Cards: {count} - Interface Cards: {count} - Architecture Decision Records: {count} ### Risk Management - Spikes Executed: {count} - Risks Retired: {count} - New Risks Identified: {count} ## Definition of Ready Compliance - DoR Pass Rate: {percentage}% - Items failing DoR: {list with reasons} ## Key Decisions {list architectural decisions with ADR references} ## Handoff Status - Checklist Complete: YES | NO - Artifacts Packaged: YES | NO - Delivery Team Notified: YES | NO ## Discovery Health Metrics ### Lead Time - Discovery ahead of Delivery: {iterations} - Status: ON-TRACK | AT-RISK ### Backlog Health - Coverage Ratio: {ratio}x - Status: HEALTHY | MARGINAL | STARVED ### Quality - DoR Pass Rate: {percentage}% - Rework Rate: {percentage}% ## Next Steps - Handoff meeting: {date} - Delivery kickoff: {date} - Next Discovery iteration: {N+1} Output: .aiwg/reports/discovery-iteration-{N}-report.md """ ) ``` **Communicate Progress**: ``` ⏳ Completing handoff to Delivery... ✓ DoR validation: {percentage}% pass rate ✓ Artifacts packaged: {count} items ✓ Handoff checklist: Complete ✓ Discovery iteration {N} complete: READY FOR DELIVERY ``` ## Quality Gates Before marking workflow complete, verify: - [ ] All high-priority requests refined into use cases - [ ] Acceptance criteria testable and complete - [ ] Data contracts and interfaces defined - [ ] High-risk assumptions validated - [ ] ADRs document key decisions - [ ] DoR met for ≥90% of items - [ ] 1.5x-2x iteration capacity prepared - [ ] Handoff checklist complete - [ ] Discovery report generated ## User Communication **At start**: Confirm understanding and scope ``` Understood. I'll orchestrate the Discovery Track for iteration {N}. This will prepare: - Use-case briefs with acceptance criteria - Data contracts and interface specifications - Risk validations via spikes/POCs - Architecture decision records - Complete handoff package for Delivery Target: 1.5x-2x iteration capacity ({points} story points) Expected duration: 30-45 minutes Starting orchestration... ``` **During**: Update progress with clear indicators ``` ✓ = Complete ⏳ = In progress ❌ = Error/blocked ⚠️ = Warning/attention needed ``` **At end**: Summary report with metrics ``` ───────────────────────────────────────────── Discovery Track - Iteration {N} Complete ───────────────────────────────────────────── **Status**: READY FOR DELIVERY **Items Prepared**: {count} ({points} story points) **DoR Compliance**: {percentage}% **Coverage Ratio**: {ratio}x iteration capacity **Artifacts Generated**: - Use-case briefs: {count} - Acceptance cards: {count} - Data contracts: {count} - Interface specs: {count} - ADRs: {count} - Spike results: {count} **Risk Status**: - Retired: {count} - New: {count} - Outstanding: {count} **Key Decisions**: {list top 3-5 architectural decisions} **Handoff Package**: .aiwg/handoffs/discovery-to-delivery-iteration-{N}.md **Full Report**: .aiwg/reports/discovery-iteration-{N}-report.md **Next Steps**: - Review generated artifacts - Schedule handoff meeting with Delivery team - Begin Discovery for iteration {N+1} ───────────────────────────────────────────── ``` ## Error Handling **If No Stakeholder Requests**: ``` ⚠️ No stakeholder requests found Creating simulated requests based on: - Vision document priorities - Outstanding technical debt - Risk mitigation needs Recommendation: Engage stakeholders for input ``` **If DoR Not Met**: ``` ❌ Items not meeting Definition of Ready {item}: {missing-criteria} Actions required: - Complete missing artifacts - Obtain stakeholder approval - Validate acceptance criteria These items cannot be handed to Delivery until DoR met. ``` **If Spike Failed**: ``` ❌ Spike validation failed Risk: {description} Result: NO-GO - {reason} Recommendations: 1. Alternative technical approach 2. Adjust requirements 3. Accept risk with mitigation Escalating to Architecture Designer for decision... ``` **If Capacity Insufficient**: ``` ⚠️ Insufficient work prepared Ready: {points} points Target: {target} points (1.5x capacity) Gap: {gap} points Actions: - Add more items from backlog - Reduce scope of complex items - Carry over to next iteration ``` ## Success Criteria This orchestration succeeds when: - [ ] Stakeholder requests gathered and prioritized - [ ] Use-case briefs complete with acceptance criteria - [ ] Data contracts and interfaces defined - [ ] High-risk assumptions validated via spikes - [ ] Architecture decisions documented - [ ] Definition of Ready met for ≥90% of items - [ ] 1.5x-2x iteration capacity prepared - [ ] Traceability established (requirements → design → tests) - [ ] Handoff to Delivery complete ## Metrics to Track **During orchestration, track**: - Requirements clarity: % with complete acceptance criteria - Design coverage: % of use cases with data/interface specs - Risk validation: % of high-risk items validated - DoR compliance: % meeting all criteria - Cycle time: Discovery duration (target: 1-2 weeks, orchestration: 30-45 min) ## References **Templates** (via $AIWG_ROOT): - Stakeholder Request: `templates/requirements/stakeholder-request-card.md` - Use-Case Brief: `templates/requirements/use-case-brief-template.md` - Acceptance Test: `templates/test/acceptance-test-card.md` - Data Contract: `templates/analysis-design/data-contract-card.md` - Interface Card: `templates/analysis-design/interface-card.md` - Spike Card: `templates/analysis-design/spike-card.md` - ADR: `templates/analysis-design/architecture-decision-record-template.md` **Flows**: - Handoff Checklist: `flows/handoff-checklist-template.md` - Dual-Track Synchronization: `flows/iteration-dual-track-template.md` **Definition of Ready**: - `flows/handoff-checklist-template.md` (DoR section) **Discovery Best Practices**: - `docs/discovery-track-best-practices.md`