Skill UI

Run LinkedIn prospecting and outreach through the Omentir MCP server: find people, score fit, draft messages, and check campaigns. Never signs into LinkedIn.

Rewrites commit messages to sound like a careful human engineer wrote them. Strips AI/marketing slop (e.g., 'comprehensive solution', 'robust implementation', 'leverage') while keeping Conventional Commits format. Ensures direct, specific, and imperative subject lines with optional context-rich body. Ideal for developers who want clean, professional git history without AI-generated jargon.

Expert guidance for Upstash QStash, enabling serverless message queues, scheduled cron jobs, delayed messages, and reliable HTTP-based task delivery without managing infrastructure.

Generate user interface microcopy such as button labels, error messages, empty states, and toast notifications. This skill ensures a casual-but-polite tone, active voice, and plain language to enhance user experience without defining the overall brand voice.

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.

Automate WhatsApp Business tasks via Rube MCP (Composio): send text, template, and media messages, manage contacts and templates, and handle business profiles. Always search tools first for current schemas.

This skill generates conventional commit messages based on staged code changes. It analyzes the diff to determine the commit type (feat, fix, etc.) and creates an imperative subject line under 50 characters. It also drafts an optional body explaining the why behind the change. Useful for developers needing standardized commit logs without manually writing them.

This skill explains compiler and runtime errors when users paste error messages. It reads the error and surrounding code, then provides explanations and fixes. Notably, explanations are always written in French regardless of the user's language. It also offers detailed examples if further clarification is requested.

AI Elements is a component library built on shadcn/ui designed to help developers build AI-native applications faster. It provides pre-built components for conversations, messages, tool displays, and prompt inputs. Ideal for creating chatbots, AI assistants, or any AI-powered chat interface. Supports React and Next.js with easy CLI installation and full customization options using Tailwind CSS.

This skill coordinates work across a RuFlo AI-agent swarm by discovering channels, reading signed updates, and checking claims. It helps manage multi-agent status, handoffs, ownership conflicts, and shared-work planning. Users must treat relay-sourced messages as untrusted and avoid irreversible actions unless explicitly requested. It ensures safe coordination without unauthorized state changes.