Skill UI

This guide provides a systematic, safe workflow for refactoring rapidly developed or AI-generated fullstack applications. It focuses on identifying and removing dead code, fixing broken imports, and consolidating repetitive logic while strictly maintaining existing API contracts, routes, and core functionality. Use this before launch to ensure a stable, maintainable production baseline, following a 'surgery, not demolition' philosophy.

Vibers provides a human-in-the-loop code review workflow for AI-generated GitHub projects. Users push code, and the service reviews it against a specification, checks for security issues, and submits a pull request with suggested fixes. It supports various languages and requires adding a collaborator and configuring a GitHub Action to trigger the review process.

Master advanced vulnerability analysis principles aligned with OWASP 2025 standards. Learn to think like an attacker and defend like an expert. Covers supply chain security, attack surface mapping, risk prioritization using CVSS and EPSS, and exceptional condition handling. Includes methodologies for scanning, code pattern analysis, and cloud security considerations to identify and mitigate critical security risks effectively.

This skill provides a framework for auditing Web3 smart contracts for security vulnerabilities. It includes pre-audit risk assessment strategies, critical bug class identification (like accounting desynchronization and access control), and Solidity code analysis techniques. Designed for authorized security assessments and educational purposes, it helps identify high-value targets and common exploit patterns in blockchain protocols.

WGM is a robust, agentic methodology designed to transform vague or rough requirements into working, validated software. It enforces a disciplined workflow across six stages: deep alignment (Grill), structured planning, deterministic iterative building (Loop), mandatory holdout-scenario judging, and final documentation audits. It ensures that the resulting code converges against rigorously tested acceptance criteria rather than relying on single-pass generation.

This guide details the principles and technical implementation of widget-based user interfaces, mimicking the aesthetic of modern mobile operating systems (like iOS Home Screen). It covers core design principles such as strict aspect ratios, glanceability, and corner radius matching. Practical code examples are provided for Web (CSS Grid), iOS (SwiftUI), and Cross-platform (Flutter) development, enabling designers to create modular, highly functional mini-apps.

Generate comprehensive onboarding documentation for software engineers ranging from newcomers to principals. This skill creates two complementary guides: a principal-level overview covering architecture, design principles, and decision logs, and a zero-to-hero contributor guide with setup instructions and workflows. It automatically detects programming languages and includes Mermaid diagrams for clarity.

Generates comprehensive technical documentation pages with evidence-based depth, including Mermaid diagrams, citations, and VitePress frontmatter. Ideal for documenting components, systems, or features with traceable code paths.

A critical skill for reviewing WooCommerce extensions, payment integrations, and checkout logic before deployment. Ensures code follows security standards, HPOS compatibility, proper data handling, and runtime discipline to prevent systematic AI failures.

This technical skill covers Yann LeCun's methodologies including CNNs, LeNet, backpropagation, JEPA, AMI, Self-Supervised Learning, and Energy-Based Models. It provides complete PyTorch code implementation. Use this for specialized AI tasks requiring deep learning expertise.

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.

Delegate bounded coding tasks to the Z.AI ZCode CLI as an implementer while the orchestrator keeps review and landing responsibility. Covers brief writing, dispatch, autonomy modes, and CLI authentication.