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AI avatar talking head videos with lipsync, TTS, and multi-character support via inference.sh CLI. \n \n Supports OmniHuman 1.5 for multi-character conversations and gestures, OmniHuman 1.0 for single characters, and PixVerse for quick lipsync on existing video \n Requires high-quality source portraits (min 512x512, ideally 1024x1024+) with frontal gaze, neutral expression, and head-and-shoulders framing for accurate animation \n Generates dialogue audio via Dia TTS with speaker tags and emotion

Generate production-ready Python code for Dataverse SDK with error handling and best practices. \n \n Implements comprehensive error handling using DataverseError hierarchy with retry logic and exponential backoff for transient failures \n Enforces singleton client pattern for connection management and includes structured logging for audit trails and debugging \n Applies OData optimization techniques: server-side filtering, column selection, and pagination to reduce data transfer \n Provides typ

Assemble course videos from individual lesson files with title slides and auto-generated timestamps for YouTube.

Autonomously analyze the entire codebase to understand its architecture, patterns, and purpose, then systematically transform it into production-grade, corporate-level professional code. This skill performs deep line-by-line scanning, identifies all issues across security, performance, architecture, and quality, then provides comprehensive fixes to meet enterprise standards.