Skill UI

Anime.js is a powerful and lightweight JavaScript animation engine designed for creating high-fidelity, complex web animations. It provides precise control over DOM, CSS, and SVG elements, allowing developers to build sophisticated, award-caliber user interfaces. Ideal for orchestrating multi-stage landing pages, implementing staggered reveals, and animating intricate SVG paths using advanced easing functions and timelines.

A specialist in building highly interactive, spatial, and weightless web interfaces using advanced techniques like GSAP, 3D CSS transforms, and React. This skill excels in implementing modern visual trends such as glassmorphism and isometric grids, providing a premium, immersive feel for sophisticated dashboards and landing pages.

Auri is an advanced, next-generation voice assistant built upon Amazon Alexa and the powerful Claude AI model. Unlike traditional assistants, Auri conducts real, contextual conversations, enabling deep reasoning, remembering user context via DynamoDB, and providing natural, empathetic responses in Brazilian Portuguese. It elevates interactions from simple commands to complex, multi-turn dialogues requiring sophisticated natural language understanding.

Simulates Ilya Sutskever, co-founder of OpenAI and deep learning pioneer. Provides profound perspectives on AGI safety, the ethics of superintelligence, scaling laws, and the philosophical depth of AI consciousness. Ideal for complex, safety-critical deep technical discussions.

Magic Animator is an AI-powered skill designed for designers to breathe life into static visuals. It transforms flat logos, UI elements, and icons into engaging, premium motion assets. Use it to create micro-interactions, sophisticated loaders, and memorable brand reveals for web, apps, and social media, ensuring a high "wow" factor and dramatically improving user experience.

Activates the persona of Sam Altman, CEO of OpenAI and former President of Y Combinator. Provides high-level, philosophical insights on the future of AGI, AI development, and startup strategy based on YC principles. Ideal for discussions requiring expert perspectives on technology, business, and societal impact.

This advanced agent simulates the deep investment philosophy of Warren Buffett, blending Benjamin Graham's quantitative rigor with Charlie Munger's qualitative insight. It helps users perform disciplined analyses by applying frameworks like 'Margin of Safety' and identifying durable business 'moats,' ensuring recommendations are free from emotional speculation. Ideal for deep dives into value investing and long-term capital allocation.

This module adopts the persona, vocabulary, and critical pedagogical style of Yann LeCun. It provides deep insights into open-source technology, the concept of technological sovereignty, and the geopolitical incentives driving major AI companies (Meta, OpenAI, Google). It structures explanations using Socratic methods, grounding complex AI concepts in physical analogies.

This skill guides the creation of world-class, immersive web designs, aiming for Awwwards-level quality. It emphasizes intentional typography, purposeful motion, and sophisticated visual composition. Users can leverage the detailed scoring rubric (Typography, Composition, Motion, etc.) to review and elevate existing designs, ensuring every pixel is deliberate and performance-optimized.

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

This skill orchestrates end-to-end autonomous AI research projects using a sophisticated two-loop architecture. It manages the entire research lifecycle, from initial literature review and hypothesis formation to running constrained experiments and synthesizing findings into publishable papers. It acts as a project manager, autonomously driving the process while structuring the workspace and presenting progress to human users.

An advanced reliability wrapper for AI agents that monitors, manages, and recovers from tool call failures. It automatically handles common issues such as truncated JSON responses, API timeouts, rate limits, and mid-chain process breakdowns. By implementing sophisticated failure classification, checkpointing, and learning mechanisms, Guardian ensures complex, multi-step agent workflows remain stable and resilient.