Skill UI

Comprehensive expertise in designing and implementing low-latency, production-ready voice AI applications and conversational agents. Covers the full stack from real-time audio streaming (WebRTC, LiveKit) to advanced NLU and speech synthesis (OpenAI, ElevenLabs, Deepgram). Ideal for building next-generation voice assistants, virtual call centers, and voice-enabled mobile experiences while optimizing for perceived responsiveness and latency budgets.

A comprehensive workflow suite for professional audio manipulation using ElevenLabs API. This module supports multiple advanced AI features, including Speech-to-Speech voice cloning, generating realistic sound effects from text prompts, isolating and removing background noise, and accurate Speech-to-Text transcription with diarization. Ideal for content creators, podcast producers, and audio engineers.

This comprehensive guide details how to install and properly configure the ElevenLabs SDK for both Node.js and Python environments. It covers setting up the required API keys using environment variables, initializing the client connection, and verifying the setup by listing available voices. Use this skill when starting a new project that requires advanced text-to-speech (TTS) or voice synthesis capabilities.

Provides comprehensive guides for upgrading the ElevenLabs SDK (JS and Python) and migrating between model generations. This guide covers necessary steps for package renaming, model ID changes (e.g., v1 to v3), API endpoint stability, and best practices for maintaining compatibility during major platform updates. Essential for developers working with advanced voice synthesis.

This router guides the entire lifecycle of writing a comprehensive, integrative review article for the Academy of Management Annals. It is designed to help users sequence their work—from initial topic selection and creating a formal proposal (the gate) to systematic literature synthesis, building an organizing framework, and final revision. It emphasizes the critical, authoritative 'Annals voice' required for field-advancing academic reviews.

This tool helps refine academic survey articles to adopt the authoritative and accessible "JEL voice." It focuses on improving prose structure, ensuring the narrative flows for non-specialist economists, and structuring the introduction and abstract according to academic conventions. It transforms summary writing into synthesis dialogue, making complex topics engaging for a broad audience.

A comprehensive guide for authors transitioning from summarizing individual studies to synthesizing knowledge across a field. It teaches the critical, integrative voice required for publishing high-impact reviews, covering structure (Introduction Arc), methodology (APA 7), and critical argumentation (Synthesis vs. Summary). Essential for systematic literature reviews.

Voice agents enable natural human-AI conversation through speech recognition and synthesis. This skill covers low-latency architectures like speech-to-speech pipelines and STT-LLM-TTS workflows. It includes optimization strategies for sub-800ms response times, voice activity detection, and integration with tools like Deepgram, ElevenLabs, and OpenAI. Ideal for building production-ready voice assistants with natural interaction flows.

Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support. Ideal for creating voice assistants, customer service agents, and voice-enabled applications that process streaming audio and integrate multiple AI providers effectively.

Transform articles or scripts into professional podcast episodes featuring consistent AI voice, natural pacing, and downloadable MP3 files. This skill utilizes the paid Beatra service for hosted synthesis and requires explicit user approval before processing.