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Found 1,948 Skills
Generates consistent UI components, layouts, and design tokens following a design system. Enforces spacing, color, typography, and accessibility standards across React/TypeScript projects. Use when creating new UI components, building page layouts, choosing colors or typography, setting up design tokens, or reviewing UI code for design consistency. Covers 8pt spacing grid, Tailwind CSS token usage, shadcn/ui primitives, WCAG 2.1 AA compliance, responsive breakpoints, semantic HTML structure, and TypeScript component interfaces. Does NOT cover backend implementation (use python-backend-expert), testing (use react-testing-patterns), or deployment (use deployment-pipeline).
FastAPI framework mechanics and advanced patterns. Use when configuring middleware, creating dependency injection chains, implementing WebSocket endpoints, customizing OpenAPI documentation, setting up CORS, building authentication dependencies (JWT validation, role-based access), implementing background tasks, or managing application lifespan (startup/shutdown). Does NOT cover basic endpoint CRUD or repository/service patterns (use python-backend-expert) or testing (use pytest-patterns).
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.
Guides developers through testing Tauri applications including unit testing with mock runtime, mocking Tauri APIs, WebDriver end-to-end testing with Selenium and WebdriverIO, and CI integration with GitHub Actions.
Guides users through setting up Tauri GitHub Actions CI/CD pipelines and workflows for automated building, testing, and releasing cross-platform desktop applications.
Execute complete user flow testing with Playwright MCP, testing end-to-end journeys through the application
Go testing patterns from Google and Uber style guides including test naming, table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions. Use when writing or reviewing Go test code, creating test helpers, or setting up table-driven tests.
Expert in building blazing-fast reactive dashboards with comprehensive testing. Masters React performance patterns, testing strategies for async components, and real-world patterns from Linear, Vercel, Notion.
Comprehensive BDD testing with Cucumber and Gherkin syntax. Use when writing feature files (.feature), step definitions, hooks, or implementing Behaviour-Driven Development. Covers Gherkin keywords (Feature, Scenario, Given/When/Then, Background, Scenario Outline, Rule), step definition patterns for Ruby/JavaScript/Java/Python, hooks (Before/After/BeforeAll/AfterAll), tags, data tables, doc strings, and best practices. Triggers on cucumber, gherkin, BDD, feature files, step definitions, acceptance testing, executable specifications.
Create comprehensive test suites for Frappe Framework v15 applications. Triggers: "create tests", "add tests", "frappe test", "write tests", "test coverage", "/frappe-test". Generates unit tests, integration tests, fixtures, and factory patterns following testing best practices.
Story-level quality orchestrator with 4-level Gate (PASS/CONCERNS/FAIL/WAIVED) and Quality Score. Pass 1: code quality -> regression -> manual testing. Pass 2: verify tests/coverage -> calculate NFR scores -> mark Story Done. Use when user requests quality gate for Story or when ln-400 delegates quality check.