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Home/Skills/captjay98

captjay98

91 verified skills546 total stars

github.com/captjay98

Multi-Currency

Currency settings and formatting for global users in LivestockAI

Better Auth

Authentication and session management with Better Auth in LivestockAI

Financial Calculations

Decimal precision and financial math patterns in LivestockAI

Livestock - Ruminants

Cattle, goats, and sheep farming domain knowledge in LivestockAI

Observability Patterns

Debugging and monitoring patterns for the distributed offline-first architecture

Three-Layer Architecture

Server → Service → Repository pattern for feature organization

Batch-Centric Design

The batch is the atomic unit - UI patterns centered around batch management

Cloudflare Workers

Edge deployment patterns and Cloudflare-specific considerations for LivestockAI

Feature Structure

How to organize features in LivestockAI

Kysely ORM

Type-safe SQL query building with Kysely in LivestockAI

Livestock - Poultry

Poultry farming domain knowledge for broilers and layers in LivestockAI

Offline-First

PWA patterns and offline functionality in LivestockAI

TanStack Query

Client-side data fetching, caching, and mutations in LivestockAI

Vitest Patterns

Unit testing patterns with Vitest in LivestockAI

i18n Patterns

Internationalization and translation patterns in LivestockAI

testing-patterns

Testing patterns for LivestockAI. Use when writing unit tests, property-based tests with fast-check, or integration tests with the test database.

Livestock - Apiculture

Beekeeping domain knowledge for honey production in LivestockAI

Integration Testing

Database integration testing patterns in LivestockAI

Neon Database

Serverless PostgreSQL database patterns for LivestockAI using Neon and Kysely ORM

Financial Integrity

Patterns for provable financial accuracy and invariant testing

Error Handling

Structured error handling with AppError in LivestockAI

Agentic Feature Design

Designing features for the "Action Era" that are AI-accessible by default

Batch-Centric Design

The batch is the atomic unit - UI patterns centered around batch management

Livestock - Apiculture

Beekeeping domain knowledge for honey production in LivestockAI

Kysely ORM

Type-safe SQL query building with Kysely in LivestockAI

TanStack Start

Server-side rendering and server functions with TanStack Start in LivestockAI

Livestock - Aquaculture

Fish farming domain knowledge for catfish and tilapia in LivestockAI

Property Testing

Property-based testing with fast-check for business logic validation

Offline Sync Strategies

Advanced conflict resolution and data consistency patterns for offline-first architecture

TanStack Router

File-based routing, loaders, and navigation patterns in LivestockAI

i18n Patterns

Internationalization and translation patterns in LivestockAI

Feature Structure

How to organize features in LivestockAI

Dynamic Imports

Why and how to use dynamic imports in LivestockAI server functions for Cloudflare Workers compatibility

Offline-First

PWA patterns and offline functionality in LivestockAI

Agentic Feature Design

Designing features for the "Action Era" that are AI-accessible by default

Better Auth

Authentication and session management with Better Auth in LivestockAI

Cloudflare Workers

Edge deployment patterns and Cloudflare-specific considerations for LivestockAI

Error Handling

Structured error handling with AppError in LivestockAI

Dynamic Imports

Why and how to use dynamic imports in LivestockAI server functions for Cloudflare Workers compatibility

Feature Structure

How to organize features in LivestockAI

i18n Patterns

Internationalization and translation patterns in LivestockAI

Livestock - Apiculture

Beekeeping domain knowledge for honey production in LivestockAI

Livestock - Ruminants

Cattle, goats, and sheep farming domain knowledge in LivestockAI

Livestock - Ruminants

Cattle, goats, and sheep farming domain knowledge in LivestockAI

Observability Patterns

Debugging and monitoring patterns for the distributed offline-first architecture

Observability Patterns

Debugging and monitoring patterns for the distributed offline-first architecture

Property Testing

Property-based testing with fast-check for business logic validation

Property Testing

Property-based testing with fast-check for business logic validation

Rugged Utility

LivestockAI's design philosophy for field-ready, farmer-friendly UI

Offline-First

PWA patterns and offline functionality in LivestockAI

TanStack Query

Client-side data fetching, caching, and mutations in LivestockAI

TanStack Start

Server-side rendering and server functions with TanStack Start in LivestockAI

Vitest Patterns

Unit testing patterns with Vitest in LivestockAI

Zod Validation

Input validation patterns with Zod in LivestockAI server functions

Cloudflare Workers

Edge deployment patterns and Cloudflare-specific considerations for LivestockAI

Vitest Patterns

Unit testing patterns with Vitest in LivestockAI

Dynamic Imports

Why and how to use dynamic imports in LivestockAI server functions for Cloudflare Workers compatibility

Agentic Feature Design

Designing features for the "Action Era" that are AI-accessible by default

backend-patterns

Backend development patterns for LivestockAI. Use when implementing server functions, database operations, Kysely queries, or working with the three-layer architecture (server → service → repository).

Batch-Centric Design

The batch is the atomic unit - UI patterns centered around batch management

Better Auth

Authentication and session management with Better Auth in LivestockAI

Financial Integrity

Patterns for provable financial accuracy and invariant testing

frontend-patterns

Frontend development patterns for LivestockAI. Use when implementing React components, TanStack Router routes, UI components, or working with the offline-first PWA architecture.

Zod Validation

Input validation patterns with Zod in LivestockAI server functions

Zod Validation

Input validation patterns with Zod in LivestockAI server functions

Livestock - Aquaculture

Fish farming domain knowledge for catfish and tilapia in LivestockAI

livestock-domain

Domain expertise for livestock farming operations. Use when the user asks about poultry, fish, cattle, goats, sheep, bees, feed conversion ratios (FCR), mortality rates, growth curves, vaccination schedules, or farming best practices.

Multi-Currency

Currency settings and formatting for global users in LivestockAI

Error Handling

Structured error handling with AppError in LivestockAI

Financial Calculations

Decimal precision and financial math patterns in LivestockAI

Financial Calculations

Decimal precision and financial math patterns in LivestockAI

Financial Integrity

Patterns for provable financial accuracy and invariant testing

Integration Testing

Database integration testing patterns in LivestockAI

Integration Testing

Database integration testing patterns in LivestockAI

Kysely ORM

Type-safe SQL query building with Kysely in LivestockAI

Livestock - Poultry

Poultry farming domain knowledge for broilers and layers in LivestockAI

Livestock - Aquaculture

Fish farming domain knowledge for catfish and tilapia in LivestockAI

Livestock - Poultry

Poultry farming domain knowledge for broilers and layers in LivestockAI

Multi-Currency

Currency settings and formatting for global users in LivestockAI

Offline Sync Strategies

Advanced conflict resolution and data consistency patterns for offline-first architecture

Rugged Utility

LivestockAI's design philosophy for field-ready, farmer-friendly UI

Rugged Utility

LivestockAI's design philosophy for field-ready, farmer-friendly UI

Neon Database

Serverless PostgreSQL database patterns for LivestockAI using Neon and Kysely ORM

Neon Database

Serverless PostgreSQL database patterns for LivestockAI using Neon and Kysely ORM

Offline Sync Strategies

Advanced conflict resolution and data consistency patterns for offline-first architecture

TanStack Router

File-based routing, loaders, and navigation patterns in LivestockAI

TanStack Query

Client-side data fetching, caching, and mutations in LivestockAI

TanStack Router

File-based routing, loaders, and navigation patterns in LivestockAI

TanStack Start

Server-side rendering and server functions with TanStack Start in LivestockAI

Three-Layer Architecture

Server → Service → Repository pattern for feature organization

Three-Layer Architecture

Server → Service → Repository pattern for feature organization