HyperFrames Student Kit

HyperFrames is an open-source framework for turning HTML, CSS, media, and seekable animations into deterministic MP4 videos. It can be used locally through a CLI, by AI coding agents through skills, or as a rendering core for hosted authoring workflows. Compositions are defined as HTML with data attributes for timing, tracks, media, and sub-compositions. The renderer seeks each frame in headless Chrome, uses animation adapters such as GSAP, CSS, Lottie, Three.js, Anime.js, or WAAPI, and encodes the result with FFmpeg; its toolchain includes preview, linting, inspection, local rendering, browser-based editing, reusable catalog components, and AWS Lambda rendering. The project requires Node.js 22 or newer and FFmpeg, does not require React or a build step, and is licensed under Apache 2.0. Its agent skills support workflows including product videos, explainers, pull-request videos, captions, motion graphics, slideshows, music-driven videos, and general compositions.

video-use is an open-source video-editing tool for coding agents such as Claude Code, Codex, Hermes, and Openclaw. It takes raw footage in a folder and produces an edited MP4, with support for removing filler words and dead space, applying FFmpeg color-grading chains, adding short audio fades at cuts, burning customizable subtitles, and generating animation overlays through HyperFrames, Remotion, Manim, or PIL. Its pipeline transcribes each source with ElevenLabs Scribe, packing word-level timestamps, speaker diarization, and audio events into a Markdown view. The agent reasons over that transcript and requests filmstrip, waveform, and word-label composites from timeline_view only at decision points, rather than processing every video frame as visual context. It then creates an edit decision list, renders the result, evaluates the rendered video at every cut boundary for visual jumps, audio pops, and subtitle problems, and can revise and re-render up to three times. The tool uses an approval-oriented workflow in which the agent inventories sources, proposes an editing strategy, waits for confirmation, executes the edit, evaluates it, and persists session memory in project.md. It requires FFmpeg and an ElevenLabs API key; yt-dlp is optional for downloading online sources. Outputs are placed in an edit directory next to the source footage.

An open-source AI agent skill for Claude Code, Codex, and similar coding agents that produces cinematic product, marketing, launch, and demo videos with Remotion. It provides shot recipe cards, motion previews, a reusable video template, and workflows for storyboarding, real page capture, animation, 2.5D camera moves, sound design, beat-synced cuts, and visual checks. The repository includes native Remotion components driven by normalized progress values, a gallery for browsing motion previews, and an optional JianYing project export that separates shot plates, captions, sound effects, and background music into editable tracks. It can be installed through the skills CLI, by cloning the repository, or by linking it into a Claude Code or Codex skills directory.

ffmpeg-skill is an agent skill that gives Claude Code, Cursor, Codex, and other agents a local video- and audio-editing workflow built on FFmpeg and ffprobe. It uses a probe → edit, preferring stream copying where possible → check → verify process, with typed Python scripts rather than shell strings. Its 21 tools cover cutting, joining, silence removal, duration and aspect-ratio fitting, captions, overlays, graphics, HDR-to-SDR conversion, LUTs, audio cleanup, loudness, synchronization with drift correction, multicamera editing, delivery checks, project rendering, and batch processing. Each tool supports structured results and dry runs, and the machine-readable contract generates an MCP interface whose tool definitions are derived from the scripts. The skill runs locally without cloud services, API keys, or Python dependencies beyond the standard library; it requires FFmpeg 5.0 or later. It is a tool for local, agent-controlled workflows that probe, edit, verify, and render video.

Higgsfield AI is an AI-native creative platform for generating and editing images and videos from text prompts and reference images, with tools for cinematic video creation, visual effects, and AI-assisted content production. It also supports animating photos, creating shorts, generating voiceovers, cloning voices, upscaling, reframing, removing backgrounds, and using an AI agent to automate creative workflows. The platform is available on the web and mobile.