Skill UI

Provides CLI-driven access control for a Discord channel by reading/writing the shared JSON state. Use it to approve pairings, edit allowlists, set DM/group policies, and keep the channel server informed without touching Discord directly.

This guide details how to create 'MCP Apps,' which are standard MCP servers augmented with interactive UI resources. It allows developers to add widgets, forms, pickers, dashboards, and confirmation dialogs directly into the chat interface. Use this skill when your tool requires structured input, complex selections, or visual output that plain text or JSON cannot adequately convey. It enhances the user experience by embedding rich, functional components within the conversation flow.

MCPB is a specialized local server bundle that packages the entire runtime environment (Node.js or Python) alongside the server code. It allows developers to distribute and run complex MCP services directly on a user's machine without requiring the user to pre-install specific runtimes or toolchains. Use this when the server must interact with the local filesystem, desktop applications, or OS-level APIs.

Helps developers answer codebase questions by leveraging the `.understand-anything/knowledge-graph.json` graph; walks through project metadata, nodes, edges, and layers to explain dependencies and contexts.

Launches an interactive web dashboard designed to visualize the knowledge graph derived from a target codebase. This tool helps developers gain a high-level, structural understanding of complex projects by mapping out relationships, module dependencies, and the overall knowledge network of the code, making maintenance and onboarding significantly easier.

Use the understand-diff skill to analyze git changes against the stored knowledge graph so you can quickly summarize modified files, affected components, and risk areas before reviewing or merging.

Provide step-by-step explanations of specific files, functions, or modules, leveraging the understand-explain workflow to map graph context, layer placement, internal structure, and data flow for developers needing deep clarity.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

Register ICANN domains via a REST API with crypto payments so AI agents can autonomously check availability, pay in USDC/USDT/ETH/BTC, and retrieve DNS management credentials.

AegisOps-AI is a professional-grade 'Living Pipeline' that integrates advanced AI reasoning directly into the SDLC. It acts as an intelligent gatekeeper, automating high-stakes audits across three domains: identifying memory vulnerabilities in Linux Kernel patches, detecting massive cost drifts in Terraform plans, and translating natural language security intent into hardened Kubernetes manifests.

A systematic protocol for repairing broken features by scoping the module, tracing every dependency, diagnosing issues, fixing them, and verifying results—ideal when a feature needs end-to-end debugging rather than a quick patch.

This agent facilitates comprehensive debugging and testing of iOS applications running on a simulated environment. It leverages XcodeBuildMCP to manage the entire lifecycle, including building, running, interacting with the UI (tap, type, gesture), taking screenshots, and capturing detailed runtime logs. Use it whenever you need to simulate real-world app testing or diagnose issues on a booted simulator.