ui-ux-design
Standard Operating Procedure for design workflow. Phase 1: Variations (diverge), Phase 2: Functional (converge), Phase 3: Polish (systemize).
Discover Data & AI skills, compare source repositories and read the instructions for each workflow.
Standard Operating Procedure for design workflow. Phase 1: Variations (diverge), Phase 2: Functional (converge), Phase 3: Polish (systemize).
Standard Operating Procedure for /plan phase. Covers research depth, code reuse detection, design pattern selection, and architecture planning.
Standard Operating Procedure for /roadmap usage. Manage product roadmap via GitHub Issues (brainstorm, prioritize, track). Auto-validates features against project vision (from overview.md) before adding to road...
Standard Operating Procedure for /tasks phase. Covers task sizing, acceptance criteria definition, and TDD-first task sequencing.
Standard Operating Procedure for /init-project phase. Guide one-time project setup with interactive questionnaire, brownfield codebase scanning, 8-document generation (overview, architecture, tech-stack, data,...
Standard Operating Procedure for /implement phase. TDD workflow, anti-duplication checks, task execution, and continuous testing.
Standard Operating Procedure for /analyze phase. Covers cross-artifact consistency validation and breaking change detection.
Standard Operating Procedure for /specify phase. Covers classification, research depth, clarification strategy, and roadmap integration.
Record and transcribe voice input when user wants to speak instead of type, describe complex issues verbally, provide audio input, or dictate text. Use this when user says "record my voice", "let me speak", "vo...
Multi-language code formatting and style enforcement with automatic linting fixes
Raise PR quality with templates, checklists, and security reviews
AI-powered code generation for boilerplate, tests, data, and scaffolding
CPU/memory profiling, database query optimization, and performance analysis
Generates OpenAPI/Swagger/GraphQL documentation and SDKs from code
End-to-end release automation with semantic versioning, changelog generation, and multi-environment deployment
Detects code/documentation drift, validates examples, generates diagrams, auto-updates documentation
Cloud cost optimization and FinOps analysis across AWS, Azure, and GCP
Faster on-call handoffs and better postmortems with triage SOPs
Dockerfile best practices, Kubernetes manifest validation, container security
Reduce regressions by discovering tests, running them, then editing code
Maintains memory cleanliness with deduplication, validation, and expiration
Automated dependency management with security scanning, update orchestration, and compatibility validation
Fast repository comprehension and safer edits through structured exploration
Natural language code search, pattern detection, semantic code analysis
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