Skill UI

Enforces mobile-first, touch-first decisions by requiring feasibility checks, mandatory readings, and anti-pattern bans before any UI work to prevent desktop or AI-default assumptions.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

This skill guides users through a comprehensive, structured process for calculating and analyzing market opportunities for startups. It provides detailed methodologies, including bottom-up and top-down market sizing, to determine the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM). Use this when developing business plans, conducting feasibility studies, or assessing market potential for a new product or service.

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.

A specialized module containing Yann LeCun's comprehensive arguments on the limitations of Large Language Models (LLMs). It critically examines the concept of 'emergent reasoning,' contrasts LLMs' statistical prediction with genuine world models, and addresses deep technical rivalries (e.g., LeCun vs. Hinton). Ideal for advanced discussions on AI causality, common sense, and AGI feasibility.

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.

This skill analyzes the cryptographic algorithms, key management systems, and file encryption routines employed by various ransomware families. It covers hybrid schemes like AES-RSA and modern ciphers such as ChaCha20. Use this when assessing data recovery feasibility, reverse engineering ransomware binaries, identifying implementation weaknesses (e.g., IV reuse, key derivation flaws), or developing custom decryptor tools.

This advanced skill guides users from a broad robotic concept (e.g., 'humanoid grasping') to a highly defined, research-ready hypothesis. It automates a robust four-stage pipeline: literature survey, idea creation, novelty verification, and critical review. The process rigorously enforces academic constraints, prioritizing simulation-first approaches, grounding ideas in established benchmarks (like ManiSkill or Habitat), and ensuring feasibility for real-world robotics development.

A specialized tool for formalizing and verifying complex mathematical proofs, particularly in Machine Learning and AI theory. It guides users through structuring theorems, identifying explicit assumptions, performing feasibility triage, and ensuring every logical step is rigorously justified, preventing the fabrication of proofs.

Guides frontend designer-engineers to deliver memorable, production-ready interfaces by defining an aesthetic stance, scoring feasibility with DFII, and translating every intentional decision into code, typography, motion, and texture.

Assesses organizational readiness for migrating cryptographic systems to post-quantum standards (PQC), aligning with NIST guidelines. The tool performs comprehensive cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA) and evaluates the feasibility of implementing hybrid TLS configurations using standards like ML-KEM and ML-DSA. Essential for implementing crypto-agility across enterprise infrastructure.

This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.