mao-sdd

SDD Phase 0 — Define governance principles, coding standards, quality gates, and TDD policy. Enhanced: validates context.json, updates pipeline state, suggests workspace creation.

SDD Phase 1 — User Specs from natural language. FR-NNN, SC-NNN, acceptance scenarios. Enhanced: bug-fix intent detection, semantic diff on re-run, workspace RAG capture.

SDD Phase 2 — Technical Specs: architecture, data model, API contracts, technology decisions. Enhanced: Tessl tile discovery, context validation, schema enforcement.

SDD Phase 3 — BDD Analysis quality checklists. [GATE G1] Enhanced: mandatory gate enforcement, FR→plan alignment check.

SDD Phase 4 — Gherkin BDD test specs with cryptographic assertion hashing. Enhanced: SHA-256 hash generation, traceability tag validation, assertion integrity.

SDD Phase 5 — Dependency-ordered task breakdown with parallel markers and story labels.

SDD Phase 6 — Cross-artifact consistency validation, traceability FR→TS→Tasks. Enhanced: knowledge graph rebuild, orphan detection, health scoring.

SDD Phase 7 — Iterative TDD implementation with BDD verification chain. [GATE G2] Enhanced: mandatory gate, step coverage verification, assertion integrity, feature immutability.

SDD Phase 8 — Export tasks to GitHub Issues with labels and dependencies. [GATE G3] Enhanced: mandatory gate, issue-map tracking, cross-check verification.

SDD Bug report + fix tasks. Enhanced: Quick Flow triage, GitHub issue inbound (#number), scope guard against AP-06 (consecutive quick flows).

This skill should be used when the user asks to "capture input", "save to RAG memory", "index a file", "store reference material", "capture document for context", or "add to knowledge base". It captures session inputs as RAG memory files with frontmatter, abstract, key takeaways, and full content. Workspace-aware routing sends captures to the active workspace's rag/ folder. Use this skill whenever the user mentions capture, RAG, memory indexing, or knowledge base storage.

SDD Utility — Resolve ambiguities in any artifact at any phase. Enhanced: auto-detect artifact, structured questions per ambiguity taxonomy, RAG capture.

SDD project initialization, status, feature selection, and help. Enhanced fork of iikit-core with workspace sessions, heartbeat init, ALM deployment, and SDD branding.

This skill should be used when the user asks to "generate dashboard", "refresh dashboard", "build command center", "update ALM views", "regenerate pipeline visualization", or "open dashboard". It generates both the single-file dashboard and the multi-page ALM Command Center with all views (pipeline, specs, quality, intelligence, workspace, governance, logs, backlog, search). Use this skill whenever the user mentions dashboard, command center, ALM, or pipeline visualization.

This skill should be used when the user asks to "run a demo", "show me how SDD works", "generate a demo project", "create a sample project", "demonstrate the pipeline", or "try SDD with example data". It generates a complete demo project with realistic features, specs, tests, tasks, and opens the dashboard for exploration. Use this skill whenever the user mentions demo, demonstration, sample project, or try SDD.

This skill should be used when the user asks to "create a feature", "select a feature", "list features", "switch feature", "add new feature to project", or "manage features". It creates, selects, and lists features in the specs/ directory with proper numbering and directory structure. Use this skill whenever the user mentions feature creation, feature selection, or feature management.

This skill should be used when the user asks to "build knowledge graph", "trace requirements", "show traceability", "map dependencies between artifacts", "visualize requirement flow", or "detect orphan nodes". It builds a knowledge graph tracing Constitution principles to requirements, tests, and tasks with edge types (governs, verified_by, implemented_by, validates). Use this skill whenever the user mentions knowledge graph, traceability, orphan detection, or requirement mapping.

This skill should be used when the user asks to "install hooks", "set up git hooks", "enable assertion integrity", "install pre-commit hooks", "configure commit validation", or "protect test hashes". It installs git pre-commit and post-commit hooks that enforce assertion integrity by validating .feature file SHA-256 hashes on every commit. Use this skill whenever the user mentions hooks, assertion integrity, or commit validation.

This skill should be used when the user asks to "show insights", "analyze health trends", "view risk indicators", "get smart recommendations", "show traceability analysis", or "review pipeline intelligence". It runs the insights engine to produce health scores, traceability analysis, risk indicators, and AI-powered recommendations. Use this skill whenever the user mentions insights, trends, risk analysis, or recommendations.

This skill should be used when the user asks to "browse RAG memory", "search captures", "list memory files", "find past inputs", "show knowledge base", or "review stored context". It browses and searches the RAG memory archive indexed in rag-index.json. Use this skill whenever the user mentions memory browsing, RAG search, captured files, or knowledge base exploration.