Skip to content
Back to skills

Coldframe

ASecurity

Render a Remotion video in the cloud on free GitHub machines instead of on this computer. Use when the user asks to render, export or re-render a Remotion composition "in the cloud", "on GitHub", "without heating my laptop", or asks for a final/full-quality render of any video.

  • 3 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 25, 2026
ai-agentsbashgit

Works with

  • cli

Security analysis

A100/100

Scanned September 25, 2026

npx -y skills add Razee4315/coldframe --skill coldframe --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Coldframe?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Coldframe
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/razee4315-coldframe/badge)](https://www.skillsdirectory.com/skills/razee4315-coldframe)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: coldframe
description: Render a Remotion video in the cloud on free GitHub machines instead of on this computer. Use when the user asks to render, export or re-render a Remotion composition "in the cloud", "on GitHub", "without heating my laptop", or asks for a final/full-quality render of any video.
---

# Cloud renders with coldframe

coldframe renders Remotion compositions on GitHub Actions: the frames are split across up to 20 free machines that render in parallel, the pieces are stitched without re-encoding, every frame is counted, and the MP4 comes back to `out/cloud/`.

Before designing or animating any video, follow the `video-rules`, `motion-direction` and `sound-design` skills.

## Keep the computer cold

- Preview with low-res stills only: `npx remotion still <Comp> --scale=0.25 --frame=N`. When you need many, bundle once and call `renderStill` from `@remotion/renderer` for a list of frames.
- Never run a full local render unless the user asks. A single still for a thumbnail is fine.

## Render

Requirements: `npx github:Razee4315/coldframe setup` has been run once in the Remotion project (GitHub CLI, sign-in, repo, workflow, skills).

1. Commit and push. The cloud renders what is on GitHub, not local edits. On slow uploads, push big media (music, footage) in separate commits.
2. Run:
   ```bash
   npx github:Razee4315/coldframe render <CompositionId> --chunks 8
   ```
   It starts the workflow, waits, and downloads the MP4 to `out/cloud/`. For long renders, use `--no-wait` (it prints the run id), then `npx github:Razee4315/coldframe download <run-id>` once `coldframe runs` shows it finished. If a render fails: `gh run view <run-id> --log-failed`.
3. Verify every render before showing it:
   - frame count = composition duration (`ffprobe -count_packets`); the job summary says it matched
   - duration, resolution, fps, audio stream present
   - loudness and peak (`sound-design`: about -14 LUFS integrated, true peak ≤ -1 dBTP)
   - a contact sheet of 12–20 frames, compared against the storyboard
   - the checklists in `video-rules` and `motion-direction`

Chunks: about one machine per 5–10 s of video, max 20. Each machine spends ~40 s getting ready, so short videos gain little from more chunks.

Useful inputs: `--props '<json>'`, `--name file.mp4`, `--ref <branch>`, `--chunks <n>`.
WebGL / three.js renders with `--gl=swangle` on CPU runners (the workflow default). It works but is slow; render heavy 3D shots once on a local GPU and use them as clips.
A stuck machine is stopped after `chunk-timeout` minutes (default 60); raise it in `.github/workflows/coldframe.yml` for very long 3D renders.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…