This is a monorepo of six AI agent skills (SKILL.md format) for creative content generation, targeting Claude Code, Cursor, Codex CLI, and other compatible agents. Each skill is a self-contained package with agent instructions, reference libraries, scaffold scripts, and optional companion websites. The skills enable agents to: generate beautiful single-file HTML articles (beautiful-article), create and edit images via GPT-4o (gpt-image-2), retrieve knowledge from local files (kb-retriever), produce deterministic motion-graphics videos with audio (motion-showreel), design polished web pages with anti-AI-cliché rules (web-design-engineer), and build click-driven video presentations with TTS (web-video-presentation). The repository also includes release automation (zero-dependency Node scripts, GitHub Actions), a Claude Code plugin marketplace entry, and two showcase websites (Vite+React+TypeScript). While primarily an application toolkit, it contains structured prompt template libraries and design reference catalogs that resemble curated data assets. The codebase demonstrates high engineering craftsmanship with deterministic rendering pipelines, a session-based audio synthesizer, design token systems, and comprehensive test coverage for the motion-showreel pipeline.
aspeak is a text-to-speech client for Azure TTS API, written in Rust. It provides a CLI, a Rust library, and Python bindings. The core functionality synthesizes speech from plain text or SSML using either the REST or WebSocket API. The architecture is modular: the library defines two synthesizer types (`RestSynthesizer` and `WebsocketSynthesizer`) with a unified trait, and a CLI wraps these for command-line use. The Python binding exposes a `SpeechService` class. The codebase demonstrates solid Rust engineering with builder patterns, comprehensive error handling, and support for proxies, custom audio formats, and rich SSML options. It is well-tested with unit and integration tests, has CI/CD pipelines, and is actively maintained.
UZDoom is a modern, feature-rich source port for Doom-engine games, forked from GZDoom. It is a monolithic game engine application that provides software and hardware-accelerated rendering (OpenGL, Vulkan, GLES), a full audio subsystem (ZMusic) supporting MIDI, tracker modules, and chip emulation, a custom GUI toolkit (ZWidget) for the launcher and in-game menus, a scripting engine (ZScript/ACS) with a Debug Adapter Protocol (DAP) server, and a resource filesystem. The codebase is large and complex, with extensive third-party library vendoring (FreeType, HarfBuzz, Abseil, asmjit, etc.) and multiple rendering backends. It is actively maintained with recent commits and CI pipelines. While the architecture is well-structured with clear subsystem boundaries, the sheer volume of vendored code and platform-specific implementations introduces medium technical drift. Several components (ZMusic, ZVulkan, ZWidget, DAP debug server) are self-contained and could be extracted for reuse in other projects.
Amphion is a comprehensive open-source research toolkit for audio, music, and speech generation, developed by OpenMMLab. It covers multiple generative tasks including text-to-speech (TTS), singing voice conversion (SVC), voice conversion (VC), text-to-audio (TTA), neural audio codecs, and vocoders. The codebase is organized around config-driven experiments (JSON + shell scripts) with modular base classes for trainers, datasets, and inference. It ingests a wide variety of public datasets (LJSpeech, LibriTTS, VCTK, M4Singer, Emilia, etc.) and provides extensive preprocessing pipelines for feature extraction (mel-spectrograms, F0, energy, phonetic alignments, self-supervised features from HuBERT/Whisper). The primary research focus is on high-quality, zero-shot, and controllable generation using architectures like diffusion models, flow matching, GANs, autoregressive transformers, and vector-quantized codecs. The repository also includes evaluation metrics (F0, energy, intelligibility, speaker similarity) and visualization tools (SingVisio). While primarily a research codebase, it includes inference scripts and Gradio demos for practical use. External dependencies include PyTorch, HuggingFace Transformers, WeNet, Descript Audio Codec, and various pretrained models.
SoundFlow is a comprehensive .NET audio framework providing cross-platform audio processing, synthesis, MIDI handling, and security features. It features a modular architecture with components, modifiers, and analyzers that can be chained together to build audio applications. The framework supports audio playback/recording, real-time effects, MIDI sequencing, audio analysis, encryption, watermarking, and fingerprinting. It includes extensive platform-specific native libraries (MiniAudio, FFmpeg, PortMidi, WebRTC APM) built for Windows, Linux, macOS, iOS, Android, and FreeBSD. The repository includes numerous sample applications demonstrating various capabilities, from simple playback to complex security-enabled audio processing.