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coltonjosephdean-rgbcoltonjosephdean-rgb/Hyperframes-colton.ai.dean/.claude/skills/hyperframes-cli/SKILL.md

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
  1. Very specific:

    Run doctor first if rendering fails.

    line 106

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

HyperFrames CLI

Everything runs through npx hyperframes. Requires Node.js >= 22 and FFmpeg.

Workflow

  1. Scaffold — npx hyperframes init my-video
  2. Write — author HTML composition (see the hyperframes skill)
  3. Lint — npx hyperframes lint
  4. Preview — npx hyperframes preview
  5. 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-readable

Lints 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
FlagOptionsDefaultNotes
--outputpathrenders/name_timestamp.mp4Output path
--fps24, 30, 603060fps doubles render time
--qualitydraft, standard, highstandarddraft for iterating
--formatmp4, webmmp4WebM supports transparency
--workers1-8 or autoautoEach spawns Chrome
--dockerflagoffReproducible output
--gpuflagoffGPU-accelerated encoding
--strictflagoffFail on lint errors
--strict-allflagoffFail 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.json

Text-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 voices

Troubleshooting

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 updates

Run 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 performance

Download now (ZIP)

  • Other versions52 projects use a version of this.

    Edited · 18

    1. openai/plugins★ 7.4k59% same
    2. OpenMinis/MinisSkills★ 58427% same
    3. boraoztunc/skills★ 33737% same
    4. notivn/AIEV★ 132100% same
    5. itgoyo/hermes-skills★ 5376% same
    6. anton-abyzov/vskill★ 4837% same
    7. delorenj/skills★ 1837% same
    8. hoanghd218/claude-code-2-days★ 837% same
    9. NexumAI-online/skills-edicion★ 412% same
    10. dqtx760/skills-manage★ 259% same

    8 more not listed

    Wrote their own version · 25

    1. heygen-com/hyperframes★ 77ksame name
    2. calesthio/OpenMontage★ 74ksame name
    3. EvovexAI/EvoFlow★ 572same name
    4. langchain-ai/design-agent★ 535same name
    5. edenfunf/reelmimic★ 311same name
    6. duyet/clickhouse-monitoring★ 305same name
    7. PinkR1ver/vibe-roast★ 49same name
    8. STARDUSTLC666/dsh-hyperframes★ 24same name
    9. tuan3w/herdr-mobile★ 22same name
    10. 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.
    • ElyzeSolutionsSkill

      oversized-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

    • nateherkaiSkill

      cut-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

    • nateherkaiSkill

      cut-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

    • LangChainSkill

      faceless-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

    • LangChainSkill

      hyperframes-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-abyzovSkill

      hyperframes-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.

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