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Found 275 Skills
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.
Set up documentation websites using Docusaurus, MkDocs, VitePress, GitBook, or static site generators. Use when creating docs sites, setting up documentation portals, or building static documentation.
Design meaningful interactions and microinteractions. Create delightful user experiences through thoughtful animation, feedback, and responsive interface design.
Build production-ready Express.js servers with middleware, authentication, routing, and database integration. Use when creating REST APIs, managing requests/responses, implementing middleware chains, and handling server logic.
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
Master markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting. Use when writing markdown docs, READMEs, or formatting documentation.
Develop native Android apps with Kotlin. Covers MVVM with Jetpack, Compose for modern UI, Retrofit for API calls, Room for local storage, and navigation architecture.
Create system architecture diagrams using Mermaid, PlantUML, C4 model, flowcharts, and sequence diagrams. Use when documenting architecture, system design, data flows, or technical workflows.
Organize CSS using BEM, SMACSS, and CSS-in-JS patterns. Use when building scalable, maintainable styling systems with proper naming conventions.
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
Design RESTful APIs following best practices for resource modeling, HTTP methods, status codes, versioning, and documentation. Use when creating new APIs, designing endpoints, or improving existing API architecture.