Skill UI

LWC is a durable memory system for coding agents that preserves project decisions, code structure, and verified context across sessions. It utilizes a physical Wiki document graph and a CodeGraph index to enable source-grounded recall. This tool helps agents search, update, and maintain knowledge without losing critical information during future coding-agent interactions.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

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.

A comprehensive guide for auditing web content against WCAG 2.2 guidelines. This skill assists users in conducting thorough accessibility audits by combining automated scans (Axe, Lighthouse) with critical manual checks, such as keyboard navigation and screen reader flow. It provides actionable remediation strategies to ensure compliance with standards like ADA and Section 508.

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.

This comprehensive toolkit automates critical Webflow operations, including managing CMS collections (create, update, delete), site publishing, page inspection, and asset uploads. By connecting via Rube MCP, it allows developers to programmatically interact with Webflow's backend, making it ideal for implementing automated content workflows, CI/CD pipelines, and large-scale content management systems.

A comprehensive guide detailing best practices for executing commands on Windows using PowerShell and CMD. It addresses critical pitfalls such as handling spaces in file paths, ensuring correct character encoding (UTF-8), using native cmdlets, and managing long path limits. Essential for developers building robust, cross-platform Windows automation scripts.

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 skill analyzes raw WordPress Site Health reports (text, screenshots, or debug info). It converts diagnostic data into a prioritized, risk-tiered fix plan, identifying critical issues and recommended improvements. It provides exact, safe commands (WP-CLI/PHP snippets) necessary to address the site and strictly enforces safety protocols like backups, lint checks, and dry-runs.

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.

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 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.