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Found 1,485 Skills
Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK. Use when creating ChatGPT apps, building MCP servers with widgets, defining React widgets, working with Apps SDK, or when user mentions ChatGPT widgets, mcp-use widgets, or Apps SDK development.
Make and receive calls, transfer, bridge, and manage call lifecycle with Call Control. Includes application management and call events. This skill provides Python SDK examples.
Work with spoint - a multiplayer physics game server SDK. Scaffolds apps locally, runs engine from npm package.
Use Light Token client SDKs (TypeScript and Rust) to create mints, associated token accounts, transfer, approve, burn, wrap, and more. Cookbook for @lightprotocol/compressed-token and light_token_client.
Stripe payment integration with Node.js SDK. Covers Checkout Sessions, Payment Intents, Subscriptions, Customer Portal, webhooks, and Stripe Elements. Use when implementing checkout flows, payment processing, subscription billing, webhook handlers, or payment forms with Stripe Elements. Use for stripe, payments, checkout, subscriptions, billing, webhooks, payment intents, stripe elements.
Manage port-out requests when numbers are being ported away from Telnyx. List, view, and update port-out status. This skill provides Go SDK examples.
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
Implement or modify Ruby code that uses the claude-agent-sdk gem, including query() one-shot calls, Client-based interactive sessions, streaming input, option configuration, tools/permissions, hooks, SDK MCP servers, structured output, budgets, sandboxing, session resumption, Rails integration, and error handling.
Android root: SDK, activity/fragment lifecycle, permissions model, Material Design, Play Store
Install Orderly SDK packages and related dependencies (hooks, UI, features, wallet connectors) using the preferred package manager.
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.
Collect DTMF input and speech from callers using standard gather or AI-powered gather. Build interactive voice menus and AI voice assistants. This skill provides Python SDK examples.