Skill UI

Use Clarvia AEO (Agent Experience Optimization) to score any MCP server, API, or CLI tool for agent-readiness. It evaluates 15,400+ AI tools across four dimensions—API accessibility, data structuring, agent compatibility, and trust signals—ensuring the components are robust enough for advanced AI agent workflows and dynamic selection processes.

Adds x402 payment execution stack to AI agents, giving per-task/session budgets, allowed recipients, rate controls, and non-custodial wallets via MCP tools so agents can autonomously pay for APIs, services, or other agents with no custodial risk.

Automates staging/preview browser checkpoints using MCP tools (claude-in-chrome, Playwright, Puppeteer) for smoke, interaction, visual regression, and accessibility tests, ensuring UI, networking, and accessibility health before release.

A governance skill designed to secure AI agent tool calls using advanced authorization policies. It implements Cedar policies to control which tools agents can access and under what conditions. Key features include running in 'Shadow mode' for safe observation, 'Enforce mode' for strict blocking, and generating cryptographically signed Ed25519 receipts to provide an immutable, tamper-evident audit trail for every policy decision.

Use Chrome DevTools MCP to give the agent visibility into the real browser so you can inspect DOM, console logs, network traffic, screenshots, and performance data while building, debugging, or validating UI behavior that runs in a browser.

This toolset provides comprehensive automation for Cal.com scheduling operations through Rube MCP. It enables users to manage the entire booking lifecycle, including listing and creating bookings, checking real-time availability and finding open slots, configuring and managing webhooks for event triggers, and managing organizational teams. It is essential for integrating scheduling workflows into larger automation processes.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.

This generator provides a comprehensive, production-ready template for building a Model Context Protocol (MCP) server using Kotlin. It sets up the full Gradle structure, integrates essential dependencies (MCP SDK, Ktor, Coroutines), and includes robust placeholders for custom tools, error handling, and testing, accelerating the development of context-aware backend services.

A command-line interface (CLI) for accessing and interacting with Model Context Protocol (MCP) servers. It acts as a unified gateway, allowing users to discover, inspect, and execute tools and APIs from external sources like filesystems, databases, APIs, and specialized services. Essential for programmatic workflow automation and system integration.

A comprehensive expert guide for utilizing the n8n-mcp toolset. This resource covers essential workflows for node discovery, configuration validation, and complex workflow management. It provides detailed guidance on tool selection, parameter formats, and best practices to master advanced automation development within n8n.

This skill provides an interactive, guided onboarding tour for the Context-Matic MCP server. It addresses the challenge of general AI models relying on outdated or incorrect public code by acting as a live, version-aware grounding layer. The tour walks users through the server's core function, demonstrates key tools (like fetching APIs, searching models, and finding endpoints), and guides them through selecting and exploring available APIs for their specific project language.

A powerful toolset for automating core PostHog product analytics tasks via Rube MCP. It enables developers and analysts to capture user events, list and filter event data, manage feature flags (creation, retrieval, listing), and inspect user profiles. Ideal for integrating advanced product tracking and A/B testing workflows directly into development pipelines.