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Found 550 Skills
Payhip platform help — digital downloads, courses, memberships, coaching, store builder, marketing tools, API. Use when setting up a Payhip store or product, choosing between Payhip Free vs Plus vs Pro plan, configuring Payhip coupons or affiliate program, connecting Payhip to an email service provider, embedding Payhip on an existing website, troubleshooting Payhip checkout or payment issues, or managing Payhip webhooks and license keys. Do NOT use for general digital product strategy without a Payhip context (use /sales-digital-products).
PHPUnit testing framework conventions and practices. Invoke whenever task involves any interaction with PHPUnit — writing tests, configuring PHPUnit, data providers, mocking, assertions, debugging test failures, or coverage.
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
Auth.js v5 setup for Next.js authentication including Google OAuth, credentials provider, environment configuration, and core API integration
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
Build voice-enabled AI applications with speech recognition, text-to-speech, and voice-based interactions. Supports multiple voice providers and real-time processing. Use when creating voice assistants, voice-controlled applications, audio interfaces, or hands-free AI systems.
Calendar management and scheduling. Create events, manage meetings, and sync across calendar providers.
Execute AdCP Signals Protocol operations with signal agents - discover audience signals using natural language and activate them on DSPs or sales agents. Use when users want to find targeting data, activate audience segments, or work with signal providers.
Build, debug, and maintain GNOME Shell extensions using GJS (GNOME JavaScript). Covers extension anatomy (metadata.json, extension.js, prefs.js, stylesheet.css), ESModule imports, GSettings preferences, popup menus, quick settings, panel indicators, dialogs, notifications, search providers, translations, and session modes. Use when the user wants to: (1) Create a new GNOME Shell extension, (2) Add UI elements like panel buttons, popup menus, quick settings toggles/sliders, or modal dialogs, (3) Implement extension preferences with GTK4/Adwaita, (4) Debug or test an extension, (5) Port an extension to a newer GNOME Shell version (45-49+), (6) Prepare an extension for submission to extensions.gnome.org, (7) Work with GNOME Shell internal APIs (Clutter, St, Meta, Shell, Main).
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Use this skill when building Model Context Protocol (MCP) servers on Cloudflare Workers. This skill should be used when deploying remote MCP servers with TypeScript, implementing OAuth authentication (GitHub, Google, Azure, etc.), using Durable Objects for stateful MCP servers, implementing WebSocket hibernation for cost optimization, or configuring dual transport methods (SSE + Streamable HTTP). The skill prevents 15+ common errors including McpAgent class export issues, OAuth redirect URI mismatches, WebSocket state loss, Durable Objects binding errors, and CORS configuration mistakes. Includes production-tested templates for basic MCP servers, OAuth proxy integration, stateful servers with Durable Objects, and complete wrangler.jsonc configurations. Covers all 4 authentication patterns: token validation, remote OAuth with DCR, OAuth proxy (workers-oauth-provider), and full OAuth provider implementation. Self-contained with Worker and Durable Objects basics. Token efficiency: ~87% savings (40k → 5k tokens). Production tested on Cloudflare's official MCP servers. Keywords: MCP server, Model Context Protocol, cloudflare mcp, mcp workers, remote mcp server, mcp typescript, @modelcontextprotocol/sdk, mcp oauth, mcp authentication, github oauth mcp, durable objects mcp, websocket hibernation, mcp sse, streamable http, McpAgent class, mcp tools, mcp resources, mcp prompts, oauth proxy, workers-oauth-provider, mcp deployment, McpAgent export error, OAuth redirect URI, WebSocket state loss, mcp cors, mcp dcr