Skill UI

Parallel Web Research skill orchestrates Parallel Chat and Extract APIs to search the internet, perform deep intelligence work, and craft cited summaries, with model controls, JSON outputs, and citation verification for market, news, technical, and general queries.

Analyzes test coverage gaps by cataloging routes, components, APIs, and existing specs, then builds a coverage matrix, prioritizes missing areas, and recommends follow-up plans or auto-generation for missing tests.

A comprehensive guide detailing how to use API routes in Expo Router with EAS Hosting. Learn best practices for handling server-side secrets, proxying third-party APIs (e.g., OpenAI, Stripe), performing database operations, and implementing robust backend logic using standard HTTP methods (GET, POST, etc.). Ideal for building secure, scalable mobile application backends.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

This skill provides expert guidance on Makepad's cross-platform development lifecycle. It helps users understand platform-specific APIs, manage conditional compilation (e.g., macOS, Windows, WebGL2), and handle OS-specific behaviors across desktop, mobile, and web environments. Use it when targeting diverse deployment targets or integrating platform-level features.

This skill provides a comprehensive guide and implementation methods for building a robust synchronization bridge between Odoo (ERP system) and WooCommerce (e-commerce store). It covers the automatic synchronization of products, real-time inventory updates, customer records, and the import/mapping of sales orders, ensuring data consistency across both platforms using their respective REST and external APIs.

This comprehensive tool analyzes rehabilitation data to track progress, assess recovery, and generate detailed reports. It tracks metrics like range of motion, pain levels, and strength improvements, providing actionable insights for patients and therapists to optimize therapy plans.

Full Instagram Graph API integration for Business/Creator accounts, handling publishing, analytics, comments, DMs, hashtags, scheduling, templates, dashboards, and governance; suited for automating multi-format campaigns via scripts and APIs.

Xquik unlocks Twitter data via REST APIs, MCP tools, and webhooks, covering tweet/user lookups, follower extraction, giveaway draws, trending topics, and accurate account monitoring for real-time automation.

A powerful code review utility designed for SwiftUI projects. It comprehensively analyzes code quality, ensuring adherence to modern Swift APIs, optimal performance, robust data flow management, and compliance with Apple's Human Interface Guidelines and accessibility standards (like VoiceOver and Dynamic Type). Use this tool when writing, refactoring, or reviewing complex SwiftUI implementations to maintain high code hygiene and maintainability.

This comprehensive guide assists in planning and auditing SEO pages generated at scale from structured data sources (CSV, JSON, APIs). It covers data quality checks, template design to ensure unique content, optimal URL structure, internal linking strategies, and critical safeguards against thin content penalties and index bloat, adhering to modern search engine guidelines.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.