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Found 4 Skills
Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming. Prevents 11 documented errors. Use when: building agents with tools, voice agents with WebRTC, multi-agent workflows, or troubleshooting MaxTurnsExceededError, tool call failures, reasoning defaults, JSON output leaks.
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.
Use this skill when building AI applications with OpenAI Agents SDK for JavaScript/TypeScript. The skill covers both text-based agents and realtime voice agents, including multi-agent workflows (handoffs), tools with Zod schemas, input/output guardrails, structured outputs, streaming, human-in-the-loop patterns, and framework integrations for Cloudflare Workers, Next.js, and React. It prevents 9+ common errors including Zod schema type errors, MCP tracing failures, infinite loops, tool call failures, and schema mismatches. The skill includes comprehensive templates for all agent types, error handling patterns, and debugging strategies. Keywords: OpenAI Agents SDK, @openai/agents, @openai/agents-realtime, openai agents javascript, openai agents typescript, text agents, voice agents, realtime agents, multi-agent workflows, agent handoffs, agent tools, zod schemas agents, structured outputs agents, agent streaming, agent guardrails, input guardrails, output guardrails, human-in-the-loop, cloudflare workers agents, nextjs openai agents, react openai agents, hono agents, agent debugging, Zod schema type error, MCP tracing failure, agent infinite loop, tool call failures, schema mismatch agents
Build realtime voice / live audio agents with AG2's `ag2.live` module. Wrap a prompt + provider config in `LiveAgent` and open a bidirectional voice session with `agent.run()`, pumping mic audio in and playing synthesized speech out. Covers the two realtime providers — Gemini Live (`GeminiRealTimeConfig`) and OpenAI Realtime (`OpenAIRealTimeConfig`) with audio/text output modalities, voices, and user-speech transcription; audio I/O over the local sound card (`SoundDeviceRecorder` / `SoundDevicePlayer`, both sounddevice-backed); one-shot speech-to-text (`OpenAITranscriber`, `OpenAITranslationTranscriber`) and its `.pipe(agent)` voice pipeline; text-to-speech (`OpenAITTSConfig`); and `TTSObserver`, which speaks a regular text `Agent`'s streamed tokens aloud. Use when the user wants a talking agent, a phone/voice assistant, live transcription, or to add TTS playback to a text agent.