Skill UI

Provides guidance on writing strictly POSIX-compliant shell scripts, covering argument parsing, defensive file handling, structured logging, and cross-platform testing so scripts stay portable across Unix-like systems.

Sets up a reproducible PostHog local development loop with environment templating, npm-based hot reload, and Vitest-powered testing so you can iterate quickly on analytics features.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

Guides developers through when and how to apply property-based testing across serializers, validators, normalizers, and smart contracts, highlighting properties, priorities, and workflow steps that complement existing unit testing efforts.

A comprehensive guide for building modern, production-ready Python 3.11+ applications. This skill enforces strict type hinting, asynchronous patterns (async/await), robust unit testing (pytest), and rigorous code validation using mypy, black, and ruff. Use it for developing complex, high-performance, and highly maintainable Python services.

Provides a comprehensive pytest-focused testing strategy for Python applications, covering TDD cycles, fixtures, parametrization, coverage tools, and test infrastructure setup for reliable suites.

This skill provides a comprehensive guide for implementing robust testing strategies in Python. It covers essential practices such as unit testing, integration testing, mocking external dependencies, and adopting Test-Driven Development (TDD). Use this when writing complex Python test suites, setting up CI/CD testing infrastructure, or mastering advanced techniques like property-based testing and async code verification.

Guides quantitative analysts through building financial models, backtesting strategies with realistic assumptions, analyzing risk metrics, optimizing portfolios, and supporting statistical arbitrage using pandas, numpy, and scipy.

A specialist guide for building and optimizing modern Rails 7+ web applications. Expertise covers implementing Hotwire (Turbo Frames/Streams) for partial page updates, optimizing Active Record queries (N+1 prevention), configuring real-time communication via Action Cable, managing background tasks with Sidekiq, and ensuring code quality through comprehensive RSpec testing. Ideal for complex, high-performance backend development.

Builds and optimizes production-ready React Native and Expo mobile apps, covering navigation hierarchies, native module setup, FlatList performance tuning, SafeArea/keyboard handling, and multi-platform testing to ensure smooth iOS and Android releases.

Guidelines for responding to code review feedback with technical rigor: read every comment, restate requirements, verify against the codebase, ask clarifying questions, push back when technically needed, and implement fixes one at a time with testing.

Guides setting up Replit CI/CD pipelines via GitHub Actions, covering workflow definitions, secrets configuration, integration tests, and release automation for automated testing and PR checks.