senior-frontend-engineer-react
Enterprise-grade React CRUD development skill for React 16.14 and DVA 2.x, featuring automated page generation, form management, and service layer integration.
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121 skills found
Enterprise-grade React CRUD development skill for React 16.14 and DVA 2.x, featuring automated page generation, form management, and service layer integration.
Designs and implements professional, interactive filtering UX for data tables based on column data types.
Build read models and projections from event streams for CQRS, materialized views, and optimized query performance in event-sourced systems.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
Configure and manage Snowflake connections for CLI, Streamlit, and Snowpark environments, including authentication methods like SSO, key pair, OAuth, and profile management.
Build responsive React dashboards using TypeScript, shadcn/ui, TanStack Query, and Supabase. Ideal for creating KPI cards, data tables, charts with Recharts, and admin interfaces for event-studio.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.
Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.
The final execution agent for the vibe-coding workflow. Builds your MVP incrementally by following the AGENTS.md master plan, managing session continuity, and verifying each feature via testing.
Create, alter, and validate Snowflake semantic views via the CLI. Automate the generation, documentation, and testing of semantic layer definitions to ensure model accuracy and star schema compliance.