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Found 7 Skills
Create distinctive, production-grade mobile interfaces with high design quality using Flutter. Use this skill when the user asks to build mobile apps, screens, widgets, animations, or UI components. Generates creative, polished Flutter code that avoids generic standard widget aesthetics.
Create unique, production-grade high-quality frontend interfaces. Use this skill when users request to build web components, pages, works, posters, or applications (e.g., websites, landing pages, dashboards, React components, HTML/CSS layouts, or styling any web UI). Generate creative, polished code and UI designs that avoid generic AI aesthetics.
Python best practices for writing production-grade code. This skill should be used when writing, reviewing, or refactoring Python code. Triggers on tasks involving Python development, error handling patterns, dictionary operations, and code quality improvements.
Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context. Call with 'craft' for shape-then-build, 'teach' for design context setup, or 'extract' to pull reusable components and tokens into the design system.
创建具有高设计质量的独特生产级前端接口。当用户要求构建Web组件、页面、工件、海报或应用程序时（例如，包括网站、登录页面、仪表板、React组件、HTML/CSS布局，或在样式化/美化任何Web UI时） ，请使用此技能。生成创意、精美的代码和UI设计，避免通用的AI美学。
Principle-engineering posture for production-grade code: reads the repo first, plans before code, matches conventions, pulls latest docs over training recall, and ships the simplest correct change that holds the bar — proper algorithms and data structures, idempotent writes, schema+queries+indexes as one artefact, typed errors, tests in the same diff. Substrate-agnostic; defers to peer skills on their lanes. Use for non-trivial planning, design, implementation, review, or refactoring; RCA and debugging; performance and optimization work; changes touching a database schema, security, infrastructure, or a public API; hardening inherited, vibe-coded, or LLM-generated code (dependency/CVE and migration audits); and over-engineering cleanup ("simplest solution," "YAGNI," "what can we delete").
Expert backend architecture and project structure for scalable, secure, maintainable applications. Inspects the existing stack before writing code, prefers feature-based modules, and adapts to Express, NestJS, Fastify, Django, Rails, Go, and other backends. Use when designing backend structure, reviewing architecture, refactoring modules, or building production-grade backend features.