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Found 463 Skills
Cross-platform CLI tool for managing Claude Code, Codex, Gemini, OpenCode & OpenClaw providers, MCP servers, prompts, skills, and proxies.
Automate Figma designs with AI using MCP server - no API limits, full read/write via plugin bridge
VSCode extension for Browser DevTools MCP Server enabling AI-driven browser automation, debugging, and testing via Playwright and Model Context Protocol
MCP server for computer use & browser automation - screenshot, OCR, click, type, find_text, Chrome/Electron CDP, template matching on macOS, Windows & Android
MCP server for AI image & video generation with 9 models (GPT Image 2, Nanobanana 2, Flux 2, Midjourney V8.1, Veo 3.1, local ComfyUI), 1,446 curated prompts, and parallel batch orchestration
Execute Python code in isolated rootless containers with MCP server proxying for token-efficient agent workflows
Expert in using ktx, the executable context layer for data and analytics agents that enables accurate querying through MCP with skills, memory and a semantic layer
Comprehensive reference for the Mankey Anki CLI and MCP server. Use when working with Anki flashcards via the mankey command, creating notes, managing decks, reviewing cards, querying collection data, or building MCP tool integrations. Covers all 96 tools across 8 categories (deck, note, card, model, media, stats, gui, system) with full parameter details.
Build production-ready MCP servers using FastMCP v3. Guides research, scaffolding, tool/resource/prompt implementation, testing, and deployment. Targets FastMCP 3.0.0rc2 with Providers, Transforms, middleware, OAuth, and composition. Use when creating MCP servers, integrating APIs via MCP, converting OpenAPI specs or FastAPI apps, or troubleshooting FastMCP issues. NOT for building REST APIs, CLI tools, or non-MCP integrations.
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.
Monitor, analyze, and optimize AWS cloud costs. Tracks spending patterns, identifies optimization opportunities, and manages budgets with alerts and recommendations.