---
title: GitHub Copilot CLI
description: "Set up HyperFrames with GitHub Copilot CLI — install skills, invoke them with slash commands, and render video from the terminal."
---

GitHub Copilot CLI brings AI-powered coding assistance to your terminal. HyperFrames skills teach it how to write correct compositions, GSAP timelines, and framework-specific patterns — so you get valid video HTML without reading the docs yourself.

## Prerequisites

- **GitHub Copilot subscription** — Free, Pro, Pro+, Business, or Enterprise all include CLI access
- **Copilot CLI installed** — `npm install -g @github/copilot` (or via the [install script](https://github.com/github/copilot-cli))
- **Node.js 22+** and **FFmpeg** for the HyperFrames CLI

## Install skills

Install the HyperFrames skill package into your project:

```bash
npx skills add heygen-com/hyperframes
```

This writes skill directories to `.agents/skills/` in your project — the path Copilot CLI scans automatically for workspace-scoped skills.

<Tip>
  To make skills available across all your projects, install them globally:

  ```bash
  npx skills add heygen-com/hyperframes --agent github-copilot --global
  ```

  Global skills live in `~/.copilot/skills/` and load in every Copilot CLI session.
</Tip>

If you install skills during an active session, run `/skills` to open the skills picker and verify they appear. New skills installed to the project directory are picked up automatically on the next prompt.

## Using skills

Copilot CLI supports both **explicit invocation** via slash commands and **automatic detection** based on your prompt.

### Slash commands

Prefix a skill name with `/` to load it explicitly:

```
/hyperframes Create a 10-second product intro with a fade-in title and dark background.
```

```
/gsap Add a scale-pop animation to the title element.
```

```
/hyperframes-cli How do I render at 60fps with Docker?
```

### Auto-detection

Copilot also matches skills based on the `description` field in each `SKILL.md`. If your prompt mentions compositions, timelines, or video rendering, the agent loads the right skills without you specifying them:

```
Create a 9:16 TikTok hook video about AI productivity with bouncy captions.
```

Explicit invocation is more reliable when you have many skills installed — with large skill sets, the agent's token budget may not fit every skill description, so naming the skill directly guarantees it loads.

### Skill management

| Command | What it does |
|---|---|
| `/skills` | Open the interactive skills picker — browse, enable, or disable skills |
| `/skills add <path>` | Add an additional skill directory to the current session |

## Create and preview a video

<Steps>
  <Step title="Scaffold a project">
    ```bash
    npx hyperframes init my-video
    cd my-video
    ```

    Skills are installed automatically inside the new project.
  </Step>

  <Step title="Start the preview server">
    ```bash
    npx hyperframes preview
    ```

    Opens the HyperFrames Studio in your browser. Edits reload automatically.
  </Step>

  <Step title="Start Copilot CLI in the project directory">
    In a second terminal:

    ```bash
    copilot
    ```
  </Step>

  <Step title="Prompt with the skill">
    ```
    /hyperframes Create a 15-second dark-themed product intro with hype-style
    captions and a flash transition to the CTA.
    ```

    The agent writes valid HyperFrames HTML — `data-*` attributes, `class="clip"` on timed elements, paused GSAP timelines registered on `window.__timelines`. The preview updates as files are saved.
  </Step>

  <Step title="Iterate">
    Keep prompting without re-specifying the full context:

    ```
    Make the title 2x bigger and add a lower third at 0:03.
    ```

    ```
    Swap the transition to a whip pan.
    ```
  </Step>

  <Step title="Render">
    ```bash
    npx hyperframes render --output output.mp4
    ```

    Or ask the agent:

    ```
    /hyperframes-cli Render this composition to output.mp4 at high quality.
    ```
  </Step>
</Steps>

## Agent mode

Copilot CLI's agent mode can handle multi-step tasks autonomously — scaffolding a project, writing the composition, installing registry blocks, and rendering in sequence:

```
/hyperframes Scaffold a new project called "launch-video", create a 30-second
product launch video with 5 scenes, install the flash-through-white transition
block, and render to mp4.
```

In agent mode, Copilot runs terminal commands (like `npx hyperframes init` and `npx hyperframes render`) on your behalf. Review the commands before approving them — especially if the skill pre-approves `shell` in its `allowed-tools`.

<Warning>
  Only pre-approve `shell` or `bash` in skill `allowed-tools` for skills you trust. The HyperFrames skills do not pre-approve shell access — the agent will ask for confirmation before running terminal commands.
</Warning>

## MCP alternative

Copilot CLI also supports MCP servers for cloud-based authoring without the local CLI. Use the `--additional-mcp-config` flag to add the HyperFrames MCP server to your session:

```bash
copilot --additional-mcp-config '{"mcpServers":{"hyperframes":{"url":"https://mcp.heygen.com/mcp/hyperframes"}}}'
```

Or save the config to a file and reference it:

```bash
copilot --additional-mcp-config @mcp-config.json
```

Authorize via OAuth when prompted. See the [MCP guide](/guides/mcp) for full details.

## Tips

- **Always start with `/hyperframes` for composition work.** This loads the full skill context — composition rules, data attributes, GSAP patterns, caption formats — that generic web knowledge doesn't cover.
- **Use `/skills` to check skill status.** If output looks wrong, open the skills picker to verify the HyperFrames skills are enabled.
- **Run `npx hyperframes lint` before rendering.** The linter catches structural issues the agent might miss on complex multi-scene edits.
- **Keep the preview server running in a separate terminal.** You see every edit reflected in real time while prompting in Copilot CLI.
- **Install registry blocks for transitions and effects.** `npx hyperframes add shimmer-sweep` installs pre-built blocks, then prompt the agent to wire them in.

## Next steps

<CardGroup cols={2}>
  <Card title="Prompting guide" icon="message" href="/guides/prompting">
    Vocabulary and patterns that produce better compositions.
  </Card>
  <Card title="Catalog" icon="grid-2" href="/catalog/blocks/data-chart">
    50+ ready-to-use blocks the agent can install and wire.
  </Card>
  <Card title="GSAP Animation" icon="wand-magic-sparkles" href="/guides/gsap-animation">
    Motion principles and timeline authoring.
  </Card>
  <Card title="Pipeline guide" icon="list-check" href="/guides/pipeline">
    The 7-step structure agents follow for multi-beat videos.
  </Card>
</CardGroup>
