vudovn

Web application testing principles. E2E, Playwright, deep audit strategies.

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.

Prove code works by running it, not just checking it exists. Verification through execution rather than inspection. Use after writing or modifying code to ensure it actually functions correctly.

Testing patterns and principles. Unit, integration, mocking strategies.

Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle.

Tailwind CSS v4 principles. CSS-first configuration, container queries, modern patterns, design token architecture.

4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.

Auto-create new skills from repetitive workflows. When you notice yourself doing the same multi-step process repeatedly, extract it into a reusable SKILL.md that any agent can use.

Reduce complexity of over-engineered code. Identify unnecessary abstractions, remove dead code, flatten deep nesting, and simplify logic while preserving behavior.

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.

Master modern Rust (2024 edition) with async patterns, advanced type system features, and production-ready systems programming. Expert in the current Rust ecosystem including Tokio, axum, and modern crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.

Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.

MCP (Model Context Protocol) server and client engineering. Protocol design, schemas, transports, extensions, security, and migration.

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers on keywords: lint, format, check, validate, types, static analysis.

Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Game development orchestrator. Routes to platform-specific skills based on project needs.

Anti-slop frontend design for web UI — landing pages, portfolios, marketing/product sites, and redesigns. Reads the brief, infers the right direction, and ships interfaces that don't look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. NOT for mobile apps.

How to organize frontend code — separation of concerns (UI / logic / data / type), file responsibility, state tiers, API services, schema validation, and framework conventions for React/Next and Vue. Structural rules, not visual design.

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

How to author a DESIGN.md file — the machine-readable design-token + human-rationale format that must exist before any UI is built. YAML front-matter token schema (colors, typography, spacing, rounded, components), type system, token references, and canonical section order.

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Advanced multi-agent orchestration with parallel workers, synthesis protocols, and coordinator lifecycle. Use when complex tasks require multiple agents working in parallel with intelligent result synthesis.

Manage and compress conversation context in long sessions. Detect when context is growing large, summarize completed work phases, archive old findings while preserving key decisions. Prevents context degradation.

Token-efficient code review using Tree-sitter AST graphs and MCP. Cuts AI token usage on large codebases by computing the blast radius of changes instead of reading entire codebases. Uses a SQLite graph database for structural analysis.

Code review guidelines covering code quality, security, and best practices.

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.