Guidelines for using TanStack Query (React Query) for server state management, data fetching, caching, and synchronization
Use when component does too many things. Use when mixing data fetching, logic, and presentation. Use when code is hard to test.
Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling
Use when same data is fetched repeatedly. Use when database queries are slow. Use when implementing caching without invalidation strategy.
Redis caching strategies, Pub/Sub and data structures (Streams, Lists, Hashes).
Expert in Python development with best practices across web, data science, and automation
Build and configure the GTM tech stack - tool selection, integrations, and data flows that power prospecting, outbound, and analytics
Refine.dev headless React framework for CRUD apps: data providers, resources, routing, authentication, hooks, and forms.
Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching
Access global news and real-time market data from Reuters news agency.
Track weight loss with Noom - view progress, lessons, and behavioral health data
Master state management - Redux Toolkit, Zustand, TanStack Query, and data persistence
Use when accessing nested object properties. Use when chaining method calls. Use when reaching through objects to get data.
Fill PDF forms programmatically with data from JSON, CSV, or dictionaries. Support for text fields, checkboxes, and dropdowns. Batch filling available.
Connect a new data source to AnomalyArmor. Handles "connect my database", "add snowflake", "setup postgres", "connect warehouse".
Use when asked to convert between KML and GeoJSON formats, or convert geo data for mapping applications.
Generate database migration scripts for Liquibase, Flyway, Alembic with rollback safety, data preservation, and zero-downtime patterns
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.