Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling
Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.
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).
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.
Master of the Modern Utility Toolbelt, specialized in AI-enhanced CLI, structured data transformation, and advanced Unix forensics.
Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching
Generate segment-targeted content (LinkedIn posts, emails, case studies, sales decks) from ICP and messaging data
Progressive URL scraping. USE WHEN Bright Data, scrape URL, web scraping tiers. SkillSearch('brightdata') for docs.
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.
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.
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.