Skill UI

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This end-to-end pipeline automates the conversion of a completed academic research paper into a full conference talk artifact. It generates a slide outline, Beamer source, editable PPTX, speaker notes, full script, and polished visuals. Critically, it includes rigorous assurance checks (citation, claim, anonymity) to ensure academic integrity, making the output suitable for top-tier conferences like NeurIPS or ICML. Use this when you need the complete, polished presentation package, not just a draft deck.

This skill provides expert-level, comprehensive guidelines for building a modern, minimal, and editorial design system. It covers foundational tokens (color, typography, spacing), accessibility standards (WCAG 2.2 AA), and detailed component rules, enabling engineers and designers to build polished, consistent digital products.

Generates a highly polished, self-contained single-page HTML landing page optimized for maximum conversion. It incorporates advanced features like 3D CSS animations, GSAP scroll effects, and mouse parallax depth. To ensure accuracy, the skill uses a structured intake process (product pitch, target audience, brand colors, and tone) to build a conversion-ready page that reflects the actual product, not generic boilerplate. Outputs a single, deployable HTML file.

This comprehensive skill serves as an entry point for all web UI design needs, covering components, pages, dashboards, and advanced layouts using React, Vue, or pure HTML/CSS. It addresses not only aesthetics and polish (color, typography, spacing) but also deep structural concerns like responsive design, UX auditing, and visual system implementation. Use it whenever a user asks to improve the look, feel, or function of a digital interface.

A comprehensive skill for building beautiful, accessible, and production-ready user interfaces. It combines the modularity of shadcn/ui components (built on Radix UI), the utility-first flexibility of Tailwind CSS, and the visual power of canvas-based design systems. Use this skill for implementing complete design systems, creating responsive layouts, managing themes (including dark mode), and generating polished visual assets across multiple applications.

Provides comprehensive architectural guidelines and code patterns for developing high-end, immersive 3D web experiences. This skill covers advanced topics such as custom WebGL shaders, post-processing effects (Bloom, Depth of Field), realistic physics interactions, and crucial performance optimization techniques, ensuring a premium, polished user experience across devices.

A constraint-based protocol designed to professionalize existing code by normalizing comments and performing safe, non-semantic cleanup. This skill converts informal, outdated, or missing documentation into clear, concise, and professional standards without altering the core logic or behavior. Ideal for preparing code for code review, open-sourcing, or formal documentation.

A comprehensive skill for preparing all metadata and visual assets required for App Store and Google Play listings. This guide covers strict character limits for copy (name, description, keywords) and exact pixel/format specifications for assets (icons, screenshots, feature graphics). It ensures the app listing is polished, compliant, and ready for submission across multiple platforms.

Provides a structured, multi-step workflow for addressing and fixing GitHub issues. This skill guides the user through the entire development lifecycle: understanding the bug, researching context, planning changes, implementing code, rigorous testing, and finally submitting a polished Pull Request using GitHub CLI commands.

A specialized tool for polishing pure mathematics manuscripts, designed to enhance the rigor and overall flow of academic writing. It guides authors to eliminate soft language (e.g., "clearly," "obviously"), ensure precise quantification, explicitly state constant dependencies, and structure hypotheses meticulously. Ideal for late-stage proof refinement before journal submission.

A comprehensive guide for transforming descriptive or mechanical drafts into highly disciplined, theory-driven, and continuous argumentative prose. It teaches authors how to adopt the 'AOS register'—anchoring every interpretive move to evidence—and master crucial elements like terminology management, self-contained abstracts, and rigorous anonymization for top-tier academic journal submissions.