mcp-cli
A command-line interface for the Model Context Protocol (MCP) to discover, inspect, and execute tools from MCP servers directly in your terminal.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
265 skills found
A command-line interface for the Model Context Protocol (MCP) to discover, inspect, and execute tools from MCP servers directly in your terminal.
Develops reactive Livewire 4 components, handling wire directives, state management, real-time updates, component testing, and integration with Flux UI for high-performance Laravel applications.
A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.
Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.
An aggressive sprint coach that helps builders overcome procrastination and overplanning by generating 5-day actionable tasks, tracking progress, and managing project momentum.
Accessibility best practices and patterns for React applications to ensure WCAG compliance, semantic structure, and inclusive user experiences.
Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
Command-line toolkit for SQL database management: schema design, query optimization, migrations, and performance debugging for SQLite, PostgreSQL, and MySQL.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Trace Rspack Rust function calls using LLVM XRay for performance analysis, troubleshooting, and visualization of execution flow.