Design e Frontend

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Designs calibrated interview loops, competency-based question banks, and hiring calibration systems. Use when designing interview processes, creating hiring pipelines, generating scoring rubrics, analyzing interviewer bias, or building question banks for engineering, product, or design roles.

Expert design systems leadership covering component libraries, design tokens, documentation, and design-development collaboration. Use when architecting a design token system, building a component library, defining governance and contribution processes, measuring design system adoption, or generating cross-platform tokens (CSS, SCSS, iOS, Android).

AI leadership advisor for Chief AI Officers on AI strategy, governance, risk management, investment planning, organizational design, and the AI/ML talent stack. Use when defining an AI strategy, building an AI governance program, evaluating build-vs-buy for AI capability, scoring AI maturity, drafting an AI risk register, or planning AI investment across the portfolio.

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

Multi-agent DAG orchestration framework. Design, execute, and manage workflows where multiple AI agents collaborate on complex tasks with dependency graphs. Covers agent spawning, output merging, quality evaluation, and real-time status boards. Use when a task requires multiple specialized agents working in concert, or when you need to parallelize AI work across sub-tasks.

Expert customer success covering onboarding, adoption, retention, expansion, health scoring, and customer advocacy. Use when designing onboarding playbooks, calculating health scores, building QBR decks, planning renewal strategies, or identifying expansion opportunities.

Use when auditing UI/UX designs for quality, detecting AI-generated slop patterns, validating WCAG accessibility compliance, checking design system token adherence, or reviewing responsive design across breakpoints. Produces three independent grades (Design, AI Slop, Accessibility) with prioritized fix recommendations.

Form optimization for lead capture, contact, demo request, application, and checkout forms. Covers field-cost analysis, multi-step form design, validation UX, mobile optimization, and A/B testing frameworks.

Patterns for building AI agents that learn from their own execution, detect failure modes, and improve autonomously. Covers feedback loops, performance regression detection, memory curation, skill extraction, and meta-learning architectures. Use when building agents that need to get better over time, managing auto-memory, or designing self-correcting systems.

This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.

Expert sales engineering covering technical demos, solution design, RFP responses, POC management, and technical objection handling. Use when preparing product demos, responding to RFPs/RFIs, scoping proof-of-concept projects, building competitive battle cards, or handling technical objections during sales cycles.