Skill UI

This skill assists developers in creating Pydantic models following a multi-model pattern for clean API contracts. It supports defining Base, Create, Update, Response, and InDB models with camelCase aliases and optional fields. Ideal for Python backend development, ensuring type safety and seamless integration with TypeScript types.

This skill enables parallel read-only multi-agent review of git diffs or specific file scopes. It identifies behavioral regressions, security risks, performance issues, and coverage gaps using four specialized sub-agents. The main agent synthesizes findings to filter and summarize critical issues without modifying code. Ideal for ensuring code quality and safety before merging changes.

A critical discipline for managing expenses when integrating paid AI or inference APIs. This guard treats dollar cost as a third complexity dimension, mandating the definition of cost contracts (max calls per run, max budget per run, max budget per day). It enforces best practices for bounding loops, retries, and fan-out, ensuring that code bugs cannot lead to unexpected overspending. Best practice requires configuring hard caps both in the code and at the provider dashboard for defense in depth.

This skill provides a comprehensive security hardening checklist for software projects. It covers network security, authentication, API safety, data protection, secrets management, supply chain security, incident response, and compliance standards like GDPR and PCI-DSS. Use it to review and improve the security posture of your application before production deployment.

Guide for creating and updating AI agent skills with emphasis on Azure SDKs and Microsoft Foundry. Provides structured workflow, safety requirements, and validation guidelines for effective skill development.

This skill analyzes skin health data to identify problem patterns and assess overall status. It supports correlation analysis with nutrition, chronic diseases, and medication data. Users should consult the detailed guide before execution to ensure safety and accuracy.

This expert reviews and rectifies complex Swift Concurrency issues, such as actor isolation violations, Sendable safety breaches, and data races. It applies modern patterns (like `@MainActor` and `actor` usage) to ensure code adheres to Swift 6.2+ standards while minimizing behavior changes. Use it when debugging concurrency warnings or migrating legacy codebases.

This skill utilizes the Taisly Agent Kit to manage the entire workflow for publishing approved short-form videos across major platforms, including TikTok, Instagram Reels, YouTube Shorts, X, and Facebook. It facilitates agent-assisted publishing by ensuring coordination of captions, metadata, and campaign details. A critical feature is the mandatory explicit confirmation gate, which prevents any state-changing publishing action without explicit user approval, prioritizing safety and compliance.

Safely refactor code with a comprehensive TDD safety net: establish a green baseline, detect code smells, apply design patterns and SOLID principles, optimize performance, and verify all tests remain green.

Analyzes crypto futures positions using TraderSpy data to calculate liquidation distance, stop loss levels, and market sentiment. Provides multi-timeframe technical indicators and derivatives data without offering trading advice. Helps users assess risk exposure and position safety.

tRPC allows developers to build highly type-safe APIs in a full-stack environment without needing to write or maintain separate schemas. It provides end-to-end type safety from server routers to client components, supporting queries, mutations, subscriptions, and robust middleware. Ideal for building modern TypeScript monorepos, Next.js, or Remix applications.

Comprehensive guidelines for writing idiomatic and efficient TypeScript and JavaScript code. Covers array operations, destructuring, async patterns, type safety, React hooks, and common anti-patterns to improve code quality and maintainability.