Skill UI

This expert skill specializes in generating comprehensive daily standup notes for modern remote-first teams. It analyzes multiple data sources—including Jira tickets, Git commit history, Obsidian notes, and calendar events—to automatically extract accomplishments and track progress. It supports asynchronous communication patterns, ensuring continuous team visibility and efficient coordination without mandatory synchronous meetings.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

Create step-by-step technical tutorials, quickstarts, and code walkthroughs. Covers prerequisite handling, progressive complexity, troubleshooting sections, and creating satisfying 'it works!' moments. Includes templates for prerequisites tables, environment setup, and verification steps.

This skill monitors the progress, blockers, and task ownership of an AI team. It summarizes completed, active, and blocked work while distinguishing assertions from verified evidence. It surfaces decisions for the user and ensures budget reporting accuracy without claiming unverified execution.

Manage tasks on an OpenViking kanban board using markdown files. Supports task handoffs between agents, progress tracking, and evidence archiving. Use the `ov` CLI to read, write, and grep task states. Ideal for collaborative workflows where work needs to be paused and resumed by different agents without losing context.

This skill facilitates loading 3D assets within Three.js environments, supporting formats like GLTF, textures, and HDR images. It manages async loading patterns and progress tracking for models and external resources. Ideal for scene asset orchestration rather than direct geometry or shader authoring.

This skill acts as a specialized tutorial engineering specialist, transforming raw, complex technical concepts or codebases into structured, progressive, and engaging educational content. It applies pedagogical design principles, such as progressive disclosure, spaced repetition, and hands-on exercises, to create documentation, courses, and onboarding materials that teach users how to build, debug, and optimize, rather than just referencing information.

Analyze weight loss data, calculate BMR/TDEE, track energy deficits, and manage weight loss stages. Ideal for BMI, body fat, waist-to-hip ratio, metabolic rate, plateau detection, and personalized weight management progress reports.

Automates Wrike project management via Rube MCP’s Composio toolkit, covering secure connection setup, task/folder creation, blueprint launches, progress tracking, and workspace/member control while always fetching schema info first.

This document provides a comprehensive guide to the principles and vocabulary needed to write high-quality, predictable, and effective skills. It covers advanced concepts like model-invoked vs. user-invoked skills, managing context load, structuring information hierarchies (steps vs. reference), and implementing progressive disclosure to improve agent predictability.