Skill UI

A comprehensive toolkit designed to automate virtually all interactions with the Twitter/X platform via Rube MCP. It supports creating, managing, and deleting posts; performing advanced searches across recent or full archives; looking up user profiles by ID or username; managing bookmarks and lists; and interacting with content (liking/unliking). Essential for integrating social media management into automated workflows.

Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance. Use this router at the start of any n8n MCP task to load relevant skills, enforce non-negotiables like skill invocation before actions, validate and verify workflows, and keep secrets secure. Trust live tools and skills over training data.

This skill generates appropriate user feedback states for components and pages, including loading skeletons, empty states, error messages, and success toasts. It ensures consistent UI presentation by implementing specific design patterns for data-dependent areas, handling partial or full failures, and providing retry mechanisms. It follows design language references for animations and accessibility, suitable for React-based frontend development workflows.

Voice agents enable natural human-AI conversation through speech recognition and synthesis. This skill covers low-latency architectures like speech-to-speech pipelines and STT-LLM-TTS workflows. It includes optimization strategies for sub-800ms response times, voice activity detection, and integration with tools like Deepgram, ElevenLabs, and OpenAI. Ideal for building production-ready voice assistants with natural interaction flows.

Create and verify provenance manifests for weather-data inputs and derived artifacts, capturing object identity, selections, software versions, transformations, and checksums to support traceable, replayable, or reproducible workflows.

This skill diagnoses latency and throughput in weather data workflows by measuring stages like discovery, transfer, parsing, and rendering separately. It identifies bottlenecks before code changes, supporting profiling and validation of performance fixes. It ensures accurate optimization by isolating slow steps in the pipeline.

This comprehensive skill provides an index of official blueprints and implementation guides for building full-stack, AI-powered applications using Weaviate. It covers advanced patterns such as Retrieval-Augmented Generation (RAG), agentic workflows, data exploration, and multimodal document search, guiding users through best practices for setup, clients, and frontends.

This comprehensive toolkit automates critical Webflow operations, including managing CMS collections (create, update, delete), site publishing, page inspection, and asset uploads. By connecting via Rube MCP, it allows developers to programmatically interact with Webflow's backend, making it ideal for implementing automated content workflows, CI/CD pipelines, and large-scale content management systems.

Generate comprehensive onboarding documentation for software engineers ranging from newcomers to principals. This skill creates two complementary guides: a principal-level overview covering architecture, design principles, and decision logs, and a zero-to-hero contributor guide with setup instructions and workflows. It automatically detects programming languages and includes Mermaid diagrams for clarity.

This skill fetches the latest writing guidelines from a specified source URL and reviews provided files against those rules. It outputs findings in a terse format, ensuring content compliance with established standards. Useful for maintaining consistency in documentation or technical writing workflows within development environments.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

Automates YouTube workflows through the Rube MCP/Composio toolkit, covering uploads, playlist management, content search, analytics, subscriptions, and comments while respecting tool schemas and quota-aware practices.