Skill UI

Automated assistant for frontend image optimization walks you through best practices, generates production-ready code and config, and validates results whenever you ask about image optimization patterns or helper workflows.

Guides frontend developers through keyboard navigation testing, offering best-practice advice, code snippets, and automated validation for accessibility, frameworks, and performance.

Automates frontend lazy-loading workflows by guiding best practices, generating React/Vue-ready code, and validating production configurations for accessible, high-performance web apps.

Automates Leadoku tasks through Composio’s Rube MCP by insisting on upfront schema discovery, connection validation, and schema-compliant RUBE_MULTI_EXECUTE_TOOL calls, making workflows reliable and repeatable.

Automatically generates robust, schema-compliant mock API servers directly from OpenAPI specifications. This tool supports advanced testing features, including stateful CRUD operations, Faker-driven dynamic data generation, configurable latency simulation, and detailed request recording for contract testing. Ideal for frontend parallel development and isolated integration testing.

A comprehensive guide for developers implementing robust data persistence and file handling within Obsidian plugins. It covers best practices for saving plugin configurations, reliable vault file I/O (read, write, append), safe manipulation of YAML frontmatter via metadata cache, and registering event listeners for file renames and deletions. Essential for building stable, data-intensive plugins.

This deep-dive tool automates the complex process of migrating notes and knowledge bases from various platforms (such as Notion, Evernote, Roam, etc.) into Obsidian. It handles critical conversions like stripping platform-specific UUIDs, converting internal links to optimized Obsidian wikilinks ([[...]]), and correctly formatting attachments and YAML frontmatter, ensuring a seamless transition and preserving the structural integrity of your knowledge base.

Automates Open Graph metadata guidance for frontend workflows, offering best practices, React/Vue/CSS tips, and ready-to-apply code.

Provides a structured workflow to analyze and improve application performance across frontend, backend, and database layers, including profiling, bottleneck identification, optimization tactics, and validation steps.

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.

Automates guidance for Performance Lighthouse Runner tasks in frontend projects, offering best practices, production-ready snippets, and validations whenever performance or accessibility topics arise.

Automates Pinia store setup with best practices, config generation, and validation for frontend projects spanning React, Vue, CSS, accessibility, and performance needs.