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Hyperframes Cli

Organization
OpenMinis
hyperframes-cli

HyperFrames CLI and Minis rendering. Use for: (1) CLI commands — init, lint, preview, render, transcribe, tts, doctor; (2) Minis iOS rendering via hf-render.py (set_viewport + minis-browser-use + ffmpeg, no Chrome required); (3) Website-to-video workflow — capture a URL and produce a professional MP4 in 7 steps; (4) Preview/snapshot compositions at correct resolution. Trigger when user says render, init project, lint, transcribe audio, generate TTS, capture a website for video, or run any hyperframes CLI command.

Overview

PublisherOpenMinis
RepositoryMinisSkills
Skill namehyperframes-cli
Stars
543
Forks
86
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by OpenMinis on GitHub. Read the source before you install it.

Installation

Install the Hyperframes Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OpenMinis/MinisSkills/tree/main/hyperframes-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OpenMinis/MinisSkills.git /tmp/MinisSkills
mkdir -p .claude/skills
cp -r /tmp/MinisSkills/hyperframes-cli .claude/skills/hyperframes-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperframes Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hyperframes Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hyperframes Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HyperFrames CLI

Environment Check (Run First)

Before any task, verify the environment is ready:

bash
python3 /var/minis/skills/hyperframes-cli/scripts/check-env.py

This checks:

  • minis-browser-use — built-in Minis tool for browser control (required for rendering and preview)
  • ffmpeg — video encoding
  • hyperframes skill — composition authoring
  • hyperframes-cli skill — this skill itself (hf-render.py)

If anything is missing, run with --fix to auto-install:

bash
python3 /var/minis/skills/hyperframes-cli/scripts/check-env.py --fix

Or install a specific skill manually:

bash
# From heygen-com/hyperframes (HyperFrames skills)
python3 /var/minis/skills/hyperframes-cli/scripts/install-skill.py \
  hyperframes --repo heygen-com/hyperframes --subdir skills

# From OpenMinis/MinisSkills (community skills)
python3 /var/minis/skills/hyperframes-cli/scripts/install-skill.py notion-hub

If minis-browser-use is missing: it is a Minis built-in tool. Update Minis App to the latest version — it ships with the app and cannot be installed separately.

After installing missing skills, restart the conversation for them to take effect.

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

bash
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

bash
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

bash
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.

🍎 Minis (iOS) Alternative — Preview & Snapshot

Set viewport to composition size first, then navigate. This gives accurate preview at the correct resolution.

bash
# Preview at correct resolution
minis-browser-use set_viewport --width 960 --height 540
minis-browser-use navigate --url minis://workspace/<project>/index.html

# Snapshot at specific timestamps
minis-browser-use execute_js --script 'window.__hf.seek(2.5)'
minis-browser-use screenshot   # saves to /var/minis/browser/

Always set_viewport before navigating — otherwise the browser uses the phone's default viewport and the composition renders at the wrong scale.

Rendering

bash
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.

🍎 Minis (iOS) — hf-render.py

npx hyperframes render requires Puppeteer + Chrome (unavailable on iOS). Use the Minis-native renderer instead — it uses minis-browser-use set_viewport to lock the browser to the exact composition size, captures frames at Retina resolution, and encodes with FFmpeg.

One-line render:

bash
python3 /var/minis/skills/hyperframes-cli/hf-render.py <project_dir>

Full options:

bash
python3 /var/minis/skills/hyperframes-cli/hf-render.py <project_dir> \
  --fps 24 \
  --quality high \
  --output /var/minis/workspace/<project>/renders/output.mp4
FlagOptionsDefaultNotes
--fps24, 302430fps increases render time ~25%
--qualitydraft, standard, highstandarddraft=2Mbps, standard=4Mbps, high=8Mbps
--outputpath<project>/renders/output.mp4Output path
--width / --heightpxauto from data-width/heightOverride composition size

How it works:

  1. set_viewport W H — locks browser CSS viewport to composition size
  2. Navigate to minis://workspace/<rel-path>/index.html (supports subdirectories)
  3. Wait for window.__hf ({ duration, seek }) — works with GSAP and pure CSS animations
  4. For each frame: execute_js __hf.seek(t) → screenshot --with-base64 → save JPEG
  5. Frames captured at Retina resolution (e.g. 2880×1620 for 960×540 @ DPR=3)
  6. ffmpeg lanczos-downscale → MP4 (h264_videotoolbox, fallback libx264)
  7. set_viewport --reset always runs — even on error or Ctrl-C

Performance: ~10fps capture (~12s for a 5s@24fps video on iPhone).

Requirements for index.html:

The composition MUST expose window.__hf at the end of its <script> block:

js
// Required: __hf render protocol
const DURATION = 5.0; // seconds — must match your actual animation length
window.__hf = {
  get duration() { return DURATION; },
  seek(t) { tl.pause(); tl.seek(Math.max(0, Math.min(t, DURATION)), false); }
};
window.__playerReady = true;
window.__renderReady = true;

DURATION must equal the GSAP timeline's actual duration. If ambient animations use repeat, calculate carefully:

js
// WRONG — glow-gold ends at 0.4 + 2.0*(2+1) = 6.4s, timeline extends past 5s → black frames
tl.to("#glow", { duration: 2.0, repeat: 2, yoyo: true }, 0.4);

// CORRECT — calculate max repeats that fit within DURATION
const DURATION = 5.0;
tl.to("#glow", {
  duration: 2.0,
  repeat: Math.floor((DURATION - 0.4) / 2.0) - 1,  // = 1 repeat, ends at 4.4s
  yoyo: true
}, 0.4);

HTML template rules (required for correct rendering):

  • Fixed width/height on html, body, and #stage — match data-width/data-height
  • No <meta name="viewport"> — the renderer sets viewport externally via set_viewport
  • No scale wrappers, no transform: scale() on the stage — these break pixel accuracy
  • Project must be under /var/minis/workspace/ — the renderer converts the path to a minis:// URL
  • Multi-scene layout: use position:absolute; inset:0 per scene — see note below

⚠️ Minis layout difference from standard HyperFrames: The standard skill says .scene-content should use width:100%; height:100%. In Minis/iOS WebKit, set_viewport sets the CSS viewport width but iOS Safari's height is influenced by system UI, so height:100% on a flex container can exceed the stage height. Content then centers relative to that oversized container and lands outside the screenshot crop.

Fix: for compositions with multiple sequential scenes, give each scene its own position:absolute; inset:0 container (see the hyperframes skill → "Multi-scene compositions" section). For single-scene compositions, width:100%; height:100% is fine.

html
<!-- Correct HTML structure -->
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- NO viewport meta -->
<style>
  html, body { margin: 0; padding: 0; width: 960px; height: 540px; overflow: hidden; }
  #stage { width: 960px; height: 540px; position: relative; overflow: hidden; }
</style>
</head>
<body>
<div id="stage" data-composition-id="my-comp" data-width="960" data-height="540">
  <!-- content -->
</div>
<script src="https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js"></script>
<script>
  window.__timelines = window.__timelines || {};
  const DURATION = 5.0;
  const tl = gsap.timeline({ paused: true });
  // ... tweens ...
  window.__timelines["my-comp"] = tl;

  window.__hf = {
    get duration() { return DURATION; },
    seek(t) { tl.pause(); tl.seek(Math.max(0, Math.min(t, DURATION)), false); }
  };
  window.__playerReady = true;
  window.__renderReady = true;
</script>
</body>
</html>

Transcription

bash
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

bash
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

bash
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

bash
npx hyperframes compositions   # list compositions in project
npx hyperframes docs           # open documentation
npx hyperframes benchmark .    # benchmark render performance

Website → Video Workflow

Turn any URL into a video in 7 steps. Read each step's reference file before executing it.

StepWhatReference
1Capture website (screenshots, tokens, assets)references/website-to-video/step-1-capture.md
2Write DESIGN.md (brand colors, fonts, style)references/website-to-video/step-2-design.md
3Write SCRIPT.md (narration, scene durations)references/website-to-video/step-3-script.md
4Write STORYBOARD.md (per-beat creative direction)references/website-to-video/step-4-storyboard.md
5Generate VO + map word timestamps to beatsreferences/website-to-video/step-5-vo.md
6Build compositions (use the hyperframes skill)references/website-to-video/step-6-build.md
7Lint, snapshot, render, handoffreferences/website-to-video/step-7-validate.md

Visual techniques (SVG drawing, Canvas 2D, 3D, typing, MotionPath, Lottie): references/website-to-video/techniques.md

Quick formats

TypeDurationBeatsNarration
Social ad (IG/TikTok)10-15s3-4Optional
Product demo30-60s5-8Full
Feature announcement15-30s3-5Full
Brand reel20-45s4-6Optional

Landscape: 1920×1080 · Portrait: 1080×1920 · Square: 1080×1080

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hyperframes Cli AI skill do?

HyperFrames CLI and Minis rendering. Use for: (1) CLI commands — init, lint, preview, render, transcribe, tts, doctor; (2) Minis iOS rendering via hf-render.py (set_viewport + minis-browser-use + ffmpeg, no Chrome required); (3) Website-to-video workflow — capture a URL and produce a professional MP4 in 7 steps; (4) Preview/snapshot compositions at correct resolution. Trigger when user says render, init project, lint, transcribe audio, generate TTS, capture a website for video, or run any hyperframes CLI command.

Why use Hyperframes Cli on TypingMind?

Because you install it once and use it with any model. Hyperframes Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hyperframes Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenMinis/MinisSkills/tree/main/hyperframes-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hyperframes Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hyperframes Cli?

As many as you like. As long as a model supports skills, you can use Hyperframes Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hyperframes Cli AI skill free?

Yes. It is published on GitHub by OpenMinis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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