Hyperframes Cli

CommunityPopular

nateherkai

hyperframes-cli

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.

Overview

Publisher	nateherkai
Repository	`hyperframes-student-kit`
Skill name	`hyperframes-cli`
Stars	1.3K
Forks	388
Bundled files	1
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by nateherkai 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/hyperframes-cli
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/hyperframes-cli

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/nateherkai/hyperframes-student-kit.git /tmp/hyperframes-student-kit
mkdir -p .claude/skills
cp -r /tmp/hyperframes-student-kit/.agents/skills/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

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

Workflow

Scaffold — npx hyperframes init my-video
Write — author HTML composition (see the hyperframes skill)
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

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.

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

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

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

Bundled files

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

NOTICE.txt1 KB

Frequently asked questions

What does the Hyperframes Cli AI skill do?

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/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/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?

It is published on GitHub by nateherkai. Check the repository for licensing terms. 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.

View all

Facetime

openclaw

OrganizationPopular

Inspect FaceTime internal stages, place an approved call to a configured owner handle, and request hangup through facetime_call.

Camsnap

Capture frames or clips from RTSP/ONVIF cameras and local webcams, including USB pan/tilt/zoom control.

Content Engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content…

Fal Ai Media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

HyperFrames CLI

Workflow

Scaffolding

Linting

Previewing

Rendering

Transcription

Text-to-Speech

Troubleshooting

Other

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now