Skill UI

This skill enables the creation and registration of reusable cloned voices from local audio samples for subsequent Text-to-Speech (TTS) applications. It implements a strict 'Consent-first' workflow, requiring explicit user consent, detailed metadata (speaker, permitted use), and adherence to copyright laws before any voice cloning can occur. It ensures the resulting voice ID is safe, traceable, and legally compliant for professional content creation.

A comprehensive studio for professional voice conversion. This tool allows users to transform local audio recordings into specific, authorized target voices. It manages complex workflows, requiring rigorous checks on source rights, target voice licensing, and detailed parameters like emotion, accent, pace, and language locale, ensuring compliance and high-quality output.

Use Voiceover Studio to convert written scripts into high-quality, professional audio narration. This tool supports diverse applications including product demos, IVR prompts, podcast episodes, and short-video voiceovers. It manages complex requirements such as specific accents, emotions, speaking pace, and precise language/locale preservation, ensuring the resulting audio is ready for immediate use.

A powerful command-line tool for recording the macOS screen and capturing system audio simultaneously. Unlike QuickTime or standard `screencapture`, this tool captures raw display and system audio directly via ScreenCaptureKit, eliminating the need for complex virtual audio drivers (like BlackHole) or elevated permissions. It is designed for scripted content creation, automated demos, and complex recording scenarios where system audio is required via the CLI.

A powerful utility that queries multiple free APIs (Pexels, Pixabay, Internet Archive, etc.) in a single query. It retrieves normalized, license-tagged results for real-world, historical, or archival images, videos, and GIFs, making it a peer to local semantic search and generative media tools. Includes specialized scripts for fetching and judging audio.

This skill automates the NotebookLM AI research tool using browser automation via the Claude Chrome extension. It allows users to programmatically create new notebooks, add multiple sources (URLs, documents, text), and trigger complex output generations, such as mindmaps, audio overviews, and briefing documents, without manual clicking. Ideal for researchers and builders managing high volumes of source material.

A comprehensive skill for generating multimodal media content using fal.ai models. It supports text-to-image (Nano Banana), text/image-to-video (Veo, Kling, Seedance), and text/video-to-audio (CSM-1B, ThinkSound). Use this tool for any creative project requiring high-quality generated images, videos, or sound effects.

A comprehensive guide covering best practices for creating videos using Remotion and React. Learn how to incorporate advanced features such as 3D rendering (Three.js), complex animations, audio synchronization, data charting, subtitles, and sophisticated scene transitions. This skill covers 29 domain-specific rules for professional video pipelines.

RouterBase acts as a unified, OpenAI-compatible API gateway, allowing applications to route requests across diverse large language models (LLMs) like GPT, Claude, and Gemini. It helps developers migrate existing OpenAI SDK calls, implement sophisticated primary/fallback model selection based on cost, latency, and quality, and manage multimodal payloads (image, audio, video) from a single, standardized endpoint.

A comprehensive skill for ingesting, analyzing, and manipulating multi-modal video and audio content. Supports real-time desktop capture, live stream monitoring (RTSP), and file uploads (URL/local). Capabilities include advanced indexing (visual, semantic, temporal), precise moment searching, professional timeline editing (subtitles, overlays, dubbing), transcoding, and generating actionable alerts. Ideal for content creators, monitoring systems, and complex media workflows.

Tool to embed C2PA (Content Provenance) manifests into AI-generated multimedia assets (image, video, audio, PDF). This mechanism adds a machine-readable provenance trail detailing the generator, prompt, and review history. Essential for complying with global regulations like the EU AI Act Article 50, ensuring verifiable digital authenticity, and building brand trust.

A comprehensive guide for authors writing the Related Work section of ACM Multimedia papers. It teaches how to position cross-modal contributions by covering diverse single-modality shelves (Vision, Audio, Language, HCI), tracing the cross-modal lineage, defining the specific cross-disciplinary novelty (delta), and adhering to academic hygiene standards like double-blinding and venue verification.