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hyperframes-cli

by heygen-com

hyperframes-cli is the HyperFrames CLI skill for building, validating, previewing, and rendering video projects from the terminal. Use it for project scaffolding, linting compositions, previewing edits, transcription, TTS, diagnostics, and repeatable hyperframes-cli usage in AI-assisted video editing workflows.

Stars2.7k
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AddedApr 18, 2026
CategoryVideo Editing
Install Command
npx skills add heygen-com/hyperframes --skill hyperframes-cli
Curation Score

This skill scores 83/100, which means it is a solid listing candidate for directory users: it has a clear trigger, concrete CLI workflows, and enough operational detail to help agents use it with less guesswork than a generic prompt. Users should still expect some adoption friction because the repo is a single SKILL.md without companion scripts or reference files, so the listing is useful but not deeply instrumented.

83/100
Strengths
  • Clear trigger and scope: the description names specific commands and use cases such as init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, and benchmark.
  • Operational workflow is explicit: it outlines a scaffold → write → lint → preview → render flow and explains why linting matters before preview.
  • Concrete command examples improve triggerability, including non-interactive init for CI/agents and multiple template/media options.
Cautions
  • Repo support is thin: there are no scripts, references, resources, or install command in SKILL.md, so adoption depends mostly on the document itself.
  • The excerpt suggests some reliance on another skill (“see the hyperframes skill”), which may require users to install or understand a related skill to get the full workflow.
Overview

Overview of hyperframes-cli skill

hyperframes-cli is the HyperFrames command-line skill for building, checking, previewing, and rendering video projects from the terminal. It is best for creators, editors, and agents that need a repeatable hyperframes workflow instead of a one-off prompt: scaffold a project, validate the composition, inspect it in preview, and render output with less guesswork.

What hyperframes-cli is for

The hyperframes-cli skill focuses on the operational parts of a HyperFrames project: initialization, linting, previewing, rendering, transcription, text-to-speech, diagnostics, and upgrade workflows. If you want hyperframes-cli for Video Editing, this is the skill to use when the work depends on structured compositions, media handling, or batchable terminal commands.

Why install it

The main value of hyperframes-cli is consistency. It reduces setup friction, gives you a known workflow, and helps catch errors early with linting before you spend time previewing or rendering. That makes it useful when adoption would otherwise be blocked by missing context, unclear project structure, or manual file setup.

Best-fit users and projects

This skill fits users who already have, or are willing to create, a HyperFrames project and want a command-driven pipeline. It is strongest for AI-assisted video editing, template-based motion design, composition validation, and agentic project setup. It is not a general video editor; it is a project tool for HyperFrames-specific work.

How to Use hyperframes-cli skill

Install and run the toolchain

Use the hyperframes-cli install flow through the skill context, then run the CLI with npx hyperframes. The baseline requirements are Node.js 22+ and FFmpeg. If those are missing, install quality will drop before the skill even starts, so confirm the environment first.

Start from a real project goal

A good hyperframes-cli usage prompt names the output, source media, and constraints. For example: “Create a 30-second product teaser from clip.mp4 and voice.mp3, use the product-promo template, keep the pacing energetic, and lint before previewing.” That is better than “make a promo video,” because the skill can map your intent to scaffold, composition, and render steps.

Read the right files first

For a fast hyperframes-cli guide, begin with SKILL.md, then inspect the project files it creates or expects. The most useful path is usually the scaffolded composition entry points, config, and media references in the working project. Since this repository is intentionally lean, the CLI instructions in SKILL.md are the primary source of truth.

Follow the workflow in order

Use the sequence init -> lint -> preview -> render. Lint first because it catches missing data-composition-id, overlapping tracks, and unregistered timelines before you waste time on rendering. If you are using the skill in a CI or agent context, prefer non-interactive initialization and keep inputs explicit so the tool does not have to infer project intent.

hyperframes-cli skill FAQ

Is hyperframes-cli only for AI agents?

No. It works for humans and agents, but the hyperframes-cli skill is especially helpful when you want a deterministic terminal workflow. If you are already comfortable editing compositions manually, the skill still adds value by reducing setup and validation errors.

When should I not use hyperframes-cli?

Do not use it if you need a generic video editor, a fully visual timeline tool, or a workflow unrelated to HyperFrames. The hyperframes-cli guide is for HyperFrames-native projects; it is not meant to replace broader NLE software or general media processing tools.

Is it beginner friendly?

It is beginner friendly if you can follow a command-line workflow and are willing to start from a template. The easiest path is init with a known example, then lint and preview before attempting a custom render. The skill is less friendly if you want a drag-and-drop experience.

How is it different from a normal prompt?

A normal prompt can ask for help, but hyperframes-cli gives you a repeatable operational path: scaffold, validate, preview, render, and troubleshoot. That matters when you need predictable outputs across multiple edits instead of a single creative response.

How to Improve hyperframes-cli skill

Give the skill concrete video inputs

The strongest hyperframes-cli usage inputs specify duration, aspect ratio, source assets, target template, and the desired edit style. For example, “12-second vertical intro, one voice track, two cutaway clips, use kinetic-type, avoid heavy motion blur” gives the skill enough structure to make better decisions.

Reduce failure modes before render

Most bad outcomes come from vague composition intent, missing media references, or skipping lint. Improve the hyperframes-cli skill result by confirming filenames, checking template fit, and reviewing the preview for timing or track overlap issues before render. If the first pass looks off, correct the composition structure before tweaking wording.

Iterate with preview-driven edits

Treat preview as the feedback loop. Ask for one change at a time: tighter pacing, different template, cleaner typography, shorter intro, or revised narration timing. That is usually more effective than asking for a full rewrite, because the skill can preserve working structure while refining the parts that miss the brief.

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