hyperframes-cli
Skill19 starsChanged 5 months agoMITView on GitHub
HyperFrames CLI tool — hyperframes init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark. Use when scaffolding a project, linting or validating compositions, previewing in the studio, rendering to video, transcribing audio, generating TTS, or troubleshooting the HyperFrames environment.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 41 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 106
Run doctor first if rendering fails.
“Common” is measured: kept by at least 6 in 10 of the 41 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
HyperFrames CLI
Everything runs through npx hyperframes. Requires Node.js >= 22 and FFmpeg.
Workflow
- Scaffold —
npx hyperframes init my-video - Write — author HTML composition (see the
hyperframesskill) - Lint —
npx hyperframes lint - Preview —
npx hyperframes preview - Render —
npx hyperframes render
Lint before preview — catches missing data-composition-id, overlapping tracks, unregistered timelines.
Scaffolding
npx hyperframes init my-video # interactive wizard
npx hyperframes init my-video --example warm-grain # pick an example
npx hyperframes init my-video --video clip.mp4 # with video file
npx hyperframes init my-video --audio track.mp3 # with audio file
npx hyperframes init my-video --non-interactive # skip prompts (CI/agents)Templates: blank, warm-grain, play-mode, swiss-grid, vignelli, decision-tree, kinetic-type, product-promo, nyt-graph.
init creates the right file structure, copies media, transcribes audio with Whisper, and installs AI coding skills. Use it instead of creating files by hand.
Linting
npx hyperframes lint # current directory
npx hyperframes lint ./my-project # specific project
npx hyperframes lint --verbose # info-level findings
npx hyperframes lint --json # machine-readableLints index.html and all files in compositions/. Reports errors (must fix), warnings (should fix), and info (with --verbose).
Previewing
npx hyperframes preview # serve current directory
npx hyperframes preview --port 4567 # custom port (default 3002)Hot-reloads on file changes. Opens the studio in your browser automatically.
Rendering
npx hyperframes render # standard MP4
npx hyperframes render --output final.mp4 # named output
npx hyperframes render --quality draft # fast iteration
npx hyperframes render --fps 60 --quality high # final delivery
npx hyperframes render --format webm # transparent WebM
npx hyperframes render --docker # byte-identical| Flag | Options | Default | Notes |
--output | path | renders/name_timestamp.mp4 | Output path |
--fps | 24, 30, 60 | 30 | 60fps doubles render time |
--quality | draft, standard, high | standard | draft for iterating |
--format | mp4, webm | mp4 | WebM supports transparency |
--workers | 1-8 or auto | auto | Each spawns Chrome |
--docker | flag | off | Reproducible output |
--gpu | flag | off | GPU-accelerated encoding |
--strict | flag | off | Fail on lint errors |
--strict-all | flag | off | Fail on errors AND warnings |
Quality guidance: draft while iterating, standard for review, high for final delivery.
Transcription
npx hyperframes transcribe audio.mp3
npx hyperframes transcribe video.mp4 --model medium.en --language en
npx hyperframes transcribe subtitles.srt # import existing
npx hyperframes transcribe subtitles.vtt
npx hyperframes transcribe openai-response.jsonText-to-Speech
npx hyperframes tts "Text here" --voice af_nova --output narration.wav
npx hyperframes tts script.txt --voice bf_emma
npx hyperframes tts --list # show all voicesTroubleshooting
npx hyperframes doctor # check environment (Chrome, FFmpeg, Node, memory)
npx hyperframes browser # manage bundled Chrome
npx hyperframes info # version and environment details
npx hyperframes upgrade # check for updatesRun doctor first if rendering fails. Common issues: missing FFmpeg, missing Chrome, low memory.
Other
npx hyperframes compositions # list compositions in project
npx hyperframes docs # open documentation
npx hyperframes benchmark . # benchmark render performanceOther versions52 projects use a version of this.
Word for word · 9
- nateherkai/hyperframes-student-kit★ 2.2k100% same
- nateherkai/herk-edit-kit★ 1.5k100% same
- nateherkai/hyperframes-video-pipeline★ 21100% same
- assafkip/claude-video-editor★ 17100% same
- coopersimson96/ai-content-system★ 17100% same
- tony-hoang-ai-automation/mkt-skills★ 4100% same
- F0rger123/claude-video-editing-god-mode★ 1100% same
- chriswestt/claude-skills★ 0100% same
- Samueladewole/claude-skills★ 0100% same
Edited · 18
- openai/plugins★ 7.4k59% same
- OpenMinis/MinisSkills★ 58427% same
- boraoztunc/skills★ 33737% same
- notivn/AIEV★ 132100% same
- itgoyo/hermes-skills★ 5376% same
- anton-abyzov/vskill★ 4837% same
- delorenj/skills★ 1837% same
- hoanghd218/claude-code-2-days★ 837% same
- NexumAI-online/skills-edicion★ 412% same
- dqtx760/skills-manage★ 259% same
8 more not listed
Wrote their own version · 25
- heygen-com/hyperframes★ 77ksame name
- calesthio/OpenMontage★ 74ksame name
- EvovexAI/EvoFlow★ 572same name
- langchain-ai/design-agent★ 535same name
- edenfunf/reelmimic★ 311same name
- duyet/clickhouse-monitoring★ 305same name
- PinkR1ver/vibe-roast★ 49same name
- STARDUSTLC666/dsh-hyperframes★ 24same name
- tuan3w/herdr-mobile★ 22same name
- Jakeschincariol/video-production-skills★ 15same name
15 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use oversized-cursor, cut-mistakes and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ElyzeSolutionsSkilloversized-cursor
House-style oversized macOS cursor technique for HyperFrames launch videos. Load whenever a scene involves cursors or a pointer-led action, when kicking off a UI scene, when igniting a morph/transition/typing run with a click, or when a scene reads as static, dead, or stale and needs a cheap high-yield source of motion to carry the viewer's eye and segment them out of the stale state. Covers cursor size/look (incl. brand-motif cursors), the off-screen entry law, tip-targeting and the click tap, click-ignites-the-next-beat, and exit / cross-scene handoff.
Also in 5 projects that use this
nateherkaiSkillcut-mistakes
Agent 2 of the video editing pipeline. Finds and removes spoken mistakes — stutters, repeated words, false starts, and retakes (re-recorded lines) — from a talking-head recording. Use after cut-silences, when asked to cut mistakes, remove stutters / repeats / filler restarts, clean up flubs, or keep the best take. Works review-gated: it proposes every cut with context and a reason for approval, then renders only the approved cuts via ffmpeg. Requires a word-level transcript.
Also in 5 projects that use this
nateherkaiSkillcut-silences
Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.
Also in 5 projects that use this
LangChainSkillfaceless-explainer
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.
Also in 15 projects that use this
LangChainSkillhyperframes-creative
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.
Also in 22 projects that use this
anton-abyzovSkillhyperframes-media
Asset preprocessing for HyperFrames compositions — text-to-speech narration (Kokoro), audio/video transcription (Whisper), and background removal for transparent overlays (u2net). Use when generating voiceover from text, transcribing speech for captions, removing the background from a video or image to use as a transparent overlay, choosing a TTS voice or whisper model, or chaining these (TTS → transcribe → captions). Each command downloads its own model on first run.
Also in 13 projects that use this
- +2 more from nateherkai
- +4 more from langchain-ai
In this repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- feedbackSkill
- gsapSkill
- hyperframes-registrySkill
- hyperframesSkill
- make-a-videoSkill
- setupSkill
- short-form-videoSkill
- study-creatorSkill
- website-to-hyperframesSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

