skills

Implementation recipes for jambonz voice app features. Use when writing code to build conversational voice AI agents (s2s, agent verb, vendor shortcuts, tool calling), collect input via IVR menus and gather, bridge or transfer calls (dial, SIP, queue, conference, recording, SIPREC), or configure applications via env_vars. Contains @jambonz/sdk JavaScript/TypeScript patterns (preferred) and raw-JSON examples for Python. Pair with the jambonz skill (decision-making) and the jambonz MCP server (schema lookups).

Set up the jambonz MCP server in AI coding tools. Use when the user wants to connect Claude Code, Cursor, Codex, Windsurf, or VS Code Copilot to the jambonz MCP server at https://mcp-server.jambonz.app/mcp, or run the server locally via stdio. Covers HTTP and stdio transport, per-IDE configuration, verification, and troubleshooting.

Build voice applications on jambonz, a voice AI orchestration platform and CPaaS. Use when planning or reasoning about jambonz call flows — selecting verbs (say/gather/dial/agent/transcribe/s2s), choosing between webhook and WebSocket transport, understanding session lifecycle, or avoiding common pitfalls. Works with @jambonz/sdk (JavaScript or TypeScript, preferred) or raw JSON from Python. Pair with jambonz-recipes for implementation patterns, jambonz-starters for runnable scaffolds, and the jambonz MCP server for schema lookups.

Ready-to-run jambonz starter applications. Use when the user wants to clone or scaffold a complete working voice app rather than assemble one from recipes — voice AI agents (OpenAI Realtime, Deepgram, ElevenLabs, Ultravox, Retell, Bedrock, AssemblyAI), IVR menus, dialers, recording, queuing, real-time translation, and more. Points at the @jambonz/sdk examples directory with one-line clone commands.