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Found 9,653 Skills
Search GitHub and automatically install and configure MCP (Model Context Protocol) server tools into Claude configuration files. This skill is triggered when users need to install MCP tools. Workflow: Search for MCP projects on GitHub -> Extract npx configuration -> Add to ~/.claude.json -> Handle API keys (if any).
This skill provides production-ready AI chat UI components built on shadcn/ui for conversational AI interfaces. Use when building ChatGPT-style chat interfaces with streaming responses, tool/function call displays, reasoning visualization, or source citations. Provides 30+ components including Message, Conversation, Response, CodeBlock, Reasoning, Tool, Actions, Sources optimized for Vercel AI SDK v5. Prevents common setup errors with Next.js App Router, Tailwind v4, shadcn/ui integration, AI SDK v5 migration, component composition patterns, voice input browser compatibility, responsive design issues, and streaming optimization. Keywords: ai-elements, vercel-ai-sdk, shadcn, chatbot, conversational-ai, streaming-ui, chat-interface, ai-chat, message-components, conversation-ui, tool-calling, reasoning-display, source-citations, markdown-streaming, function-calling, ai-responses, prompt-input, code-highlighting, web-preview, branch-navigation, thinking-display, perplexity-style, claude-artifacts
Automates Chrome browser workflows for testing web apps, debugging with console/network logs, extracting data, filling forms, and interacting with authenticated web applications (Google Docs, Gmail, Notion). Use when testing local web apps, debugging frontend issues, automating data entry, scraping web content, or working with authenticated services. Triggers on "test my web app", "check the console", "fill this form", "extract data from [URL]", "automate [browser task]", "open [authenticated app]", or debugging web application issues. Works with Chrome via Claude in Chrome extension (MCP tools: navigate, click, form_input, read_console_messages, read_network_requests, tabs_context_mcp, gif_creator).
Creates, modifies, and manages Claude Code subagents by writing agent files with YAML frontmatter, system prompts, and tool configurations. Use when you need to "create an agent", "modify an agent", "set up a specialist", "I need an agent for [task]", "agent to handle [domain]", or "configure agent tools". Covers agent file format, YAML frontmatter, system prompts, tool restrictions, MCP integration, model selection, and testing.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
Agent harness performance system for Claude Code and other AI coding agents — skills, instincts, memory, hooks, commands, and security scanning
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Final retrospective and self-assessment for participants of Claude Code Lab. Runs four sequential interactive parts — progress audit, best prompt, monthly plan, and feedback — using AskUserQuestion. Triggers on "/lab-retro", "lab retrospective", "claude code lab final", or after completing the 6-week Claude Code Lab cohort.
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
Claude Code Advanced Development Guide - A comprehensive tutorial covering tool usage, REPL environment, development workflows, MCP integration, advanced patterns, and best practices. Ideal for learning Claude Code's advanced features and development techniques.
Reviews and improves Claude Code skills against official best practices. Supports three modes - self-review (validate your own skills), external review (evaluate others' skills), and auto-PR (fork, improve, submit). Use when checking skill quality, reviewing skill repositories, or contributing improvements to open-source skills.