Agent Skills Hub

orchestrate

Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.

design-references

Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.

test-generation

Intelligent unit and integration test generation powered by Minion framework, featuring business logic validation, boundary testing, and Vitest integration.

typescript-testing

Standardizes Vitest unit and integration testing workflows for TypeScript, enforcing 70% coverage, proper mocking, and CI/CD-ready verification patterns.

skill-architect

Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.

plantuml-manipulator

Structured batch manipulation, validation, and reporting for PlantUML sequence diagrams across multiple files.

microsim-screen-capture

Automate high-quality screenshot generation for MicroSim visualizations using Chrome headless mode. Ideal for documentation, social media previews, and quality assessment.

skyll

A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.

mcp-add

Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.

veil

Privacy-preserving transactions on Base using Veil Cash. Deposit into shielded pools, perform ZK-based withdrawals/transfers, and manage private balances. Supports ETH/USDC via local ZK proofs and Bankr-signed deposits.

hegelion

Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.