Skill UI

Automates daily planning by integrating with your calendar (e.g., Outlook via WorkIQ). It pulls your schedule, cross-references open tasks, analyzes workspace context, and classifies every meeting (Customer, Deep Work, Learning, etc.). The tool detects scheduling conflicts, identifies time zone issues, and generates a structured HTML prep file with proactive recommendations to maximize focus and productivity for the next day.

Generates HTML5 Canvas-based breadboard mockups and diagrams for retro computing builds, showing component placement, wiring, and labeled 6502/555 timer layouts as visual references or teaching aids.

A comprehensive meta-skill template designed for developers to scaffold, structure, and define specialized Agent Skills for AI platforms like GitHub Copilot. It guides users through mandatory requirements, including folder naming conventions, YAML frontmatter best practices (name, description), and structuring the skill body with detailed workflows and documentation sections. Use this when building complex, specialized AI capabilities.

Converts markdown documents to HTML via marked.js-style workflows, pandoc/gomarkdown knowledge, and templating systems like Jekyll or Hugo for both single-file and batch pipelines, enabling static site previews, documentation, and CLI/Node toolchains.

Generates professional conference presentation slides from a compiled research paper. This skill produces dual outputs: a polished Beamer LaTeX PDF for high-quality typesetting, and an editable PPTX for flexible adjustments. It supports multiple talk types (Poster, Spotlight, Oral, Invited) and includes detailed guidelines for speaker notes and talk scripting, making it essential for academic researchers preparing for major ML and systems conferences.

Installs npm packages inside virtiofs-mounted Docker workspaces by copying package files to a container-local ext4 directory, running npm ci there, and symlinking node_modules back so native binaries avoid virtiofs crashes.

This skill automates the entire process of creating and integrating a DingTalk application and binding a QwenPaw bot. It utilizes a headed browser mode and manages complex user flows, including pausing for manual login confirmation and ensuring all configuration changes are properly published. It supports customizing app details, uploading required images, and setting up the bot capability, making the setup process seamless and robust.

Himalaya is a terminal-based email client that handles IMAP/SMTP accounts, letting you list, read, search, compose, and organize mail with templates, MML, and scripted attachment flows from one CLI.

This guide maps user questions and topics (e.g., configuration, memory, skills, CLI) to specific, relevant documentation paths and source code entry points within the QwenPaw ecosystem. It is designed for built-in QA Agents to eliminate aimless searching, ensuring the agent reads the most accurate files to provide comprehensive and precise answers about the system's features.

A comprehensive tool for managing website SEO sitemaps. It can validate existing XML sitemaps against Google's latest best practices, checking for broken URLs, outdated dates, and structural issues. Alternatively, it can guide the user through generating a new, optimized sitemap structure and XML file, ensuring all critical pages are indexed correctly for search engines.

Analyzes and generates a self-contained, explorable HTML report detailing usage metrics for Claude Code sessions. It tracks token consumption (input/output), subagent usage, skill calls, and cache efficiency across specified time ranges. This tool helps developers visualize resource waste and pinpoint areas for workflow optimization, ensuring cost-effective and efficient AI development cycles.

This coach guides users through a progressive mastery of AI, structured across three layers: AI User (prompting), AI-Enhanced Worker (workflow integration), and AI Builder (ML foundations). It uses Socratic questioning, layered scaffolding, and spaced repetition to build genuine, transferable AI literacy, moving beyond simple copy-pasting prompts to deep conceptual understanding of models, transformers, and RAG.