Pre-Production validation — build a production-quality end-to-end build to confirm the full game loop is achievable before committing to…
Vertical Slice Architecture (VSA) for .NET applications — one of several supported architectures in dotnet-claude-kit.
Deep expertise in VHDL language constructs, IEEE 1076 standard compliance, and synthesis coding guidelines.
Use after a brand direction and source of truth are confirmed to produce or maintain VI manuals, logo packages, brand assets, landscape…
Use when making CTO decisions — tech debt, team scaling, architecture, and DORA metrics.
Use when building or auditing frontend UI — components, design systems, or avoiding generic AI aesthetics.
Use when making any code change — trunk-based development, atomic commits, change sizing (~100 lines), and the commit-as-save-point pattern.
Use when you have a rough concept that needs divergent and convergent exploration.
Use when optimizing for SEO — technical, on-page, structured data, and mobile-friendliness.
Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.
Developer personality portrait generator.
Vibecode brand design system with colors, typography, spacing, and component guidelines.
API design, versioning, testing, schema validation, and contract testing patterns for REST and GraphQL APIs.
AI art direction system. Claude directs image generation models (Gemini, DALL-E, Flux) via structured prompts. Generate banners, diagrams…
Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API…
AI browser automation - navigate, interact, extract, verify via browser-use MCP
Git history'den otomatik changelog, semantic versioning, release notes, conventional commits
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Debug issues by investigating logs, database state, and git history
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.