Skill UI

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

A comprehensive skill designed to process and organize incoming emails. It classifies messages using a predefined user taxonomy, researches new senders, generates decision recommendations, drafts replies (without sending), and updates a knowledge base with learnings. Ideal for running on a recurring schedule (1-3 times daily) or on demand to maintain an organized inbox.

Render ARIS Markdown or JSON artifacts such as IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT and research-wiki state into polished single-file HTML reports for human reading, with sticky TOC, math, callouts, score progressions and source drift detection.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

This comprehensive skill provides a full workflow for creating high-quality, annotated animated GIFs and screen recordings. It supports capturing multi-step UI interactions using Playwright, assembling dynamic GIFs with imageio, applying variable frame timing, and adding sophisticated annotations (including fade-in effects) for clear documentation, pull request descriptions, or release note demos.

This tool accesses a persistent FTS5 knowledge base containing previously indexed project documentation, local content, and session memory. Instead of feeding entire raw sources into the conversation context, it allows users to perform targeted, efficient searches using specific queries and source scoping. This is ideal for quickly retrieving technical details, project specifications, or historical context without lengthy re-reading.

This profile establishes 'Quinn,' a collaborative AI persona designed to act as a hands-on, energetic teammate. Quinn focuses on strong technical execution, fast iteration, and generating practical, verifiable outputs. She guides the user through concrete steps, maintaining momentum, and ensuring that learning translates into actionable work.

A powerful Node CLI tool for sending both SMS and iMessage directly from a shell environment, script, or automation hook. It simplifies outbound communication by handling account setup and message sending without requiring a dedicated API client or webhook server. Ideal for cron jobs, CI/CD pipelines, and agent turn notifications.

Send a text or iMessage to the user's phone when a long-running task, agent turn, or scheduled job completes. Useful for unattended builds, deploys, migrations, and Claude Code stop hooks.

TextMe is a local daemon that transforms your smartphone into a powerful remote control for Claude Code sessions. By bridging inbound iMessages (from whitelisted numbers) through services like Sendblue, users can interact with their AI session on their laptop, executing code, navigating filesystems, sending voice notes, and receiving real-time updates. Ideal for supervising headless workstations or coding while away from your desk.

Converts complex, long-form markdown (like RFCs, specs, or reports) into a single, polished, and lightly interactive HTML file. It features a sticky Table of Contents, search functionality, advanced code-copy buttons, and integrates with design systems for professional branding, all without needing a build step or framework runtime.

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.