Skill UI

Guides installing the Supabase SDK or CLI, configuring API keys as environment variables or in .env files, and verifying the connection when bootstrapping a new integration.

Spot and remediate Supabase anti-patterns by reviewing integrations for async, security, and performance issues, then enforce fixes with linting and CI to keep the codebase aligned with best practices.

Sets up a Supabase local development loop with hot reload, structured testing, and environment variable management so teams can iterate rapidly on Supabase-backed features.

Implements Supabase rate limiting, backoff, and idempotency patterns to keep API calls reliable when hitting 429s. Use this guidance to inspect headers, apply controlled retries, and document safeguards for async workflows.

Guides Supabase engineers through adding reliability patterns such as circuit breakers, idempotency keys, bulkheads, and dead letter queues to keep integrations resilient in production.

Enable Supabase webhook handling by validating signatures, responding to event notifications, and adding idempotent safeguards for secure endpoints and replay protection in production integrations.

Covers Swift 6.2's proximity concurrency, where code runs on a single thread by default, @concurrent explicitly offloads hotspots, MainActor default inference manages protocol conformance, and compiler settings prevent implicit background execution.

Provides expert guidance on building robust iOS/macOS applications using modern Swift standards. Covers Protocol-Oriented Programming (POP), SwiftUI state management, structured concurrency with async/await, and ensuring thread safety using Actors. Ideal for complex, multi-platform projects requiring high performance and clean architecture.

Guides building testable Swift code by abstracting filesystem, network, and API dependencies into focused protocols, using default production implementations while injecting mocks via Swift Testing for deterministic, actor-safe scenarios.

A disciplined debugging ritual that forces you to investigate errors, reproduce issues, and analyze patterns before proposing fixes, ensuring root causes are understood across multi-component systems and minimizing risky guesswork under pressure.

This expert specializes in guiding systematic bug investigation, feature implementation, and collaborative development workflows using GitHub. It covers the entire lifecycle, from initial issue triage and root cause analysis to professional Pull Request creation. Use it to ensure fixes are thoroughly tested, proper branching is maintained, and modern CI/CD best practices are followed, transforming vague reports into production-ready code.

Automates Telegram workflows via Rube MCP's Composio toolkit, letting bots send messages, media, manage chats, and handle commands after fetching live tool schemas.