Agent Skills Hub

pentest-osint-recon

Automated OSINT reconnaissance agent for mapping external attack surfaces, identifying assets, and uncovering security vulnerabilities.

github-release-management

Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.

ui-mockup

Orchestrator for audio plugin WebView UI design, handling iterative mockup generation and production-ready scaffolding for JUCE-based instruments and effects.

repo-analyzer

Analyze GitHub repository structure, documentation, dependencies, and contributor patterns for codebase health and development insights.

review-and-qa

Perform comprehensive code reviews and generate QA test plans for Storyblok projects, ensuring quality, security, and adherence to best practices.

vvm

VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.

visual-design-foundations

Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.

vercel-react-native-skills

React Native and Expo best practices for performant mobile apps. Covers list virtualization, animations with Reanimated, UI patterns, and native platform API optimizations.

design-excellence

A design system and anti-pattern guide to make AI-generated UI look human-crafted. Ensures professional aesthetics by managing color, typography, spacing, and animations for the Toh Framework.

qveris

Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.

project-guidelines-example

A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.