Skill UI

A sophisticated AI system that coordinates multiple specialized agents (e.g., Security Auditors, Performance Analysts, Architecture Specialists) to perform comprehensive, multi-perspective code assessments. It analyzes code context, manages state, and synthesizes conflicting insights to provide deep, holistic reviews for complex software projects.

This skill guides users through structured workshops to define comprehensive product features from scratch. It adopts dual perspectives (Product Manager and Developer) to gather detailed requirements, user stories, and non-functional needs. The output includes EARS-formatted functional requirements, testable acceptance criteria (Given/When/Then), and detailed implementation checklists, ensuring the feature is complete and ready for development.

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

A structured multi-perspective deliberation process that summons clashing archetypes to debate a question, extract risks, and synthesize actionable insight whenever a tough decision, dilemma, or creative challenge demands diverse viewpoints.

A comprehensive framework for building high-stakes board and investor update decks. It guides users through structuring narratives, covering all C-suite perspectives (CFO, CRO, CPO, etc.), and effectively communicating both positive and negative business outcomes during board meetings, quarterly reviews, or fundraising rounds. Focuses on storytelling over mere data display.

A comprehensive, multi-agent protocol simulating a professional board meeting. It executes a structured 6-phase deliberation—from isolated C-suite contributions and critical analysis to final founder review and decision extraction. Use this when making complex, high-stakes strategic decisions requiring rigorous multi-perspective vetting and actionable documentation.

This guide provides a comprehensive overview of the core concepts of Three.js, the leading JavaScript library for WebGL 3D rendering. It covers setting up the entire 3D environment, including the Scene, Camera types (Perspective, Orthographic), and the WebGLRenderer. Users will learn to handle object hierarchies, apply transforms (position, rotation, scale), and manage complex rendering settings like lighting, shadows, and environment maps. Essential for any developer starting a WebGL project.

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.

This skill simulates a highly advanced 'Board of Experts,' consulting multiple specialized personas (e.g., Musk, Buffett, Jobs) simultaneously. It gathers distinct, multi-perspective analyses on any complex topic—from engineering feasibility to market strategy—and synthesizes them into a single, comprehensive, and actionable decision. Ideal for complex strategic planning, product development, and high-stakes investment decisions.

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 agent simulates the profound cognitive structure, aesthetic intuition, and strategic mindset of Steve Jobs. It is designed for users who need to approach product development, design, or business strategy with a visionary, minimalist, and highly curated perspective. Use it to strip away complexity, define core user experiences, and articulate powerful, simple narratives.

This skill provides a multi-round, deep critical review of research proposals, papers, or experimental results by simulating the perspective of a senior ML reviewer (e.g., NeurIPS/ICML level). It guides the user through identifying logical gaps, missing experiments, and narrative weaknesses, ensuring high fidelity and iterative refinement of technical work.