Skill UI

Provides Twilio-based communication patterns covering SMS, voice, WhatsApp, and Verify flows; includes error handling, compliance reminders, rate limits, segmentation warnings, and OTP 2FA guidance for notifications, confirmations, and security workflows.

Provides production-ready TypeScript and Python patterns for TwinMind AI memory and meeting intelligence REST APIs, covering authenticated clients, memory storage/retrieval, meeting context creation, batching, and rate-limit aware retries to standardize integrations.

Presents advanced TypeScript techniques—generics, conditional types, mapped types, discriminated unions, and utility combinations—to help developers build safer, more expressive type systems and runtime guards for complex apps.

Guides automating U301 operations via Composio’s Rube MCP workflows, covering tool discovery, connection checks, schema compliance, and execution patterns for reliable automation.

This skill provides production-grade patterns for Unity's Data-Oriented Technology Stack (DOTS). It covers essential components like Entity Component System (ECS), the Job System, and the Burst Compiler, enabling developers to build high-performance, scalable games. Use this when optimizing CPU-bound logic, managing thousands of entities, or migrating traditional OOP game code to a data-oriented design.

This expert guide provides comprehensive best practices for developing robust, high-performance C++ code within Unreal Engine 5.x. It covers critical topics such as UObject lifecycle management, adhering to Epic Games' strict coding conventions, optimizing performance-critical sections (e.g., avoiding unnecessary Ticking), and correctly using soft references for asset loading. Use this skill for professional game development tasks requiring deep knowledge of the Unreal reflection system and advanced C++ patterns.

Automated User Story Generator delivers stepwise guidance, industry best practices, and production-ready artifacts for enterprise workflow projects. Use it when you need compliance-ready governance, integration, or project management patterns triggered by mentioning “user story generator.”

Provides a minimal working Vast.ai example with client initialization and the first API call to confirm connectivity; use when starting an integration, testing your setup, or exploring basic Vast.ai API patterns.

Outlines a Vast.ai reference architecture that combines instance selection, training job automation, Docker image prep, data transfer handling, and runtime error patterns so teams can standardize GPU ML pipelines.

Production-ready guidance on adopting Http.ai SDK design patterns for TypeScript and Python, covering singleton clients, safe wrappers, retries, and validation to standardize Vast.ai integrations and improve API reliability.

Guides teams to enforce PII handling, data retention policies, and GDPR/CCPA patterns when integrating Vercel, covering classification, detection, configuration, validation, and documentation of privacy controls for sensitive payloads.

Guide reviewers and onboarding engineers through identifying Vercel anti-patterns, prioritizing security and performance fixes, and adding lint/CI prevention to keep integrations aligned with best practices.