Agent skill

Vhs Demo

A skill your agent uses when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s.

MITAuto-check passedDevOps & Cloud

Install Vhs Demo

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/vhs-demo .claude/skills/vhs-demo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .claude/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/vhs-demo .agents/skills/vhs-demo && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .agents/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/vhs-demo .cursor/skills/vhs-demo && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .cursor/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/babarot/gh-infra.git --path .claude/skills/vhs-demo

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/vhs-demo .gemini/skills/vhs-demo && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .gemini/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/vhs-demo .github/skills/vhs-demo && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .github/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add babarot/gh-infra --skill vhs-demo -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install babarot/gh-infra vhs-demo --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/babarot/gh-infra.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/vhs-demo .opencode/skills/vhs-demo && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "vhs-demo" agent skill from https://github.com/babarot/gh-infra/tree/main/.claude/skills/vhs-demo into .opencode/skills/vhs-demo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vhs-demo", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: vhs-demo
GitHub stars: 136
Token cost: ~1.2k tokens
SKILL.md length: 489 words
Files: 1
Skills in repo: 7
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s.

Works in 3 steps: Count existing tapes: ls… → Calculate total: count × per-container… → Compare against Docker Desktop memory…
Running demo recordings
SKILL.md covers When To Use, Prerequisites, Pipeline and Why MP4 → GIF Instead of…, plus 6 more sections
Calls docker, make and go

What it does

Vhs Demo is an agent skill from babarot/gh-infra. Use when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s. Covers the Docker + VHS + ffmpeg pipeline.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Containers and Video production. It works with Docker and FFmpeg. The repository describes itself as: Declarative GitHub infrastructure management via YAML. The licence is MIT.

When your agent uses it

Running demo recordings
Diagnosing recording failures
Regenerating GIFs from existing MP4s

Example prompts

“/vhs-demo”

Requirements

Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Count existing tapes: ls docs/tapes/*.tape | wc -l
Calculate total: count × per-container memory
Compare against Docker Desktop memory allocation

What it can do on your machine

Read from SKILL.md and the folder at commit 11bab7d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- docker
- make
- go
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vhs Demo loads about 1.2k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 489 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from babarot/gh-infra at commit 11bab7d, republished under its MIT licence (© babarot). 489 words, ~1,190 tokens.

Download SKILL.mdSave it as .claude/skills/vhs-demo/SKILL.md (or your agent's skills folder).

name: vhs-demo
description: Use when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s. Covers the Docker + VHS + ffmpeg pipeline.

VHS Demo Recording

Use this skill to run, debug, or regenerate gh-infra demo GIF recordings.

When To Use

Running make demo or docs/tapes/vhs.sh directly
Diagnosing why a recording failed or produced a 0-byte GIF
Regenerating GIFs from existing MP4s without re-recording
Understanding the recording pipeline

Prerequisites

Docker must be running
Go toolchain (for cross-compiling the Linux binary)

Pipeline

text

make demo
  1. go build -o docs/tapes/.gh-infra  (GOOS=linux GOARCH=amd64)
  2. docs/tapes/vhs.sh
     a. docker build → gh-infra-vhs image (VHS + vim)
     b. For each *.tape in parallel:
        docker run --memory=1g --cpus=2 → produces .mp4
     c. For each .mp4 sequentially:
        docker run jrottenberg/ffmpeg:7-alpine → produces .gif
  3. Copy GIFs to docs/public/
  4. Clean up .gh-infra binary

Why MP4 → GIF Instead of Direct GIF

VHS's built-in GIF output is unreliable when multiple containers run in parallel on macOS. The workaround is to output MP4 only from VHS, then convert to GIF via ffmpeg with high-quality settings (lanczos scaling, sierra2_4a dithering, 256 colors).

Key Files

File	Role
`docs/tapes/vhs.sh`	Orchestrator: parallel recording + sequential GIF conversion
`docs/tapes/Dockerfile`	`ghcr.io/charmbracelet/vhs` + vim
`docs/tapes/*.tape`	VHS scenario files
`docs/tapes/setup*.sh`	Per-demo setup scripts (mock data, gh wrapper)
`docs/tapes/mock-gh`	Generic mock for `gh` CLI
`docs/tapes/.gh-infra`	Cross-compiled Linux binary (ephemeral)

Output Locations

Raw recordings: docs/tapes/*.mp4 and docs/tapes/*.gif
Published assets: docs/public/demo*.gif (copied by Makefile)

Environment Variables

make demo forwards DEMO_ENV variables into Docker via -e flags. Use this to pass environment overrides (e.g. GH_INFRA_OUTPUT) into the recording containers.

Resource Planning

All tapes run in parallel. Each container requests --memory and --cpus (see vhs.sh). The total resource demand is:

total memory = number_of_tapes × per-container memory
total CPUs   = number_of_tapes × per-container CPUs

For example, 6 tapes × --memory=2g --cpus=2 = 12 GB / 12 CPUs.

This is constrained by Docker Desktop's resource allocation, not host RAM. Docker Desktop defaults are often low (e.g. 7.6 GB on a 24 GB machine). If total demand exceeds Docker Desktop's allocation, containers will OOM or produce 0-byte outputs.

Show full SKILL.md (243 more words)Show less

When Adding New Tapes

Adding a tape increases parallel resource demand. Before adding, check:

Count existing tapes: ls docs/tapes/*.tape | wc -l
Calculate total: count × per-container memory
Compare against Docker Desktop memory allocation

If the total exceeds Docker Desktop's limit, you have two options:

Increase Docker Desktop memory — Open Docker Desktop → Settings → Resources → Memory. On an M-series Mac with 24+ GB RAM, allocating 16 GB is safe and is the recommended approach since it's a one-time setting.
Reduce per-container resources — Lower --memory in vhs.sh. This is a last resort since it may cause recording failures for complex tapes.

Recommended Docker Desktop Settings

For comfortable parallel recording of 6+ tapes:

Setting	Recommended
Memory	16 GB (minimum: number_of_tapes × 2 GB)
CPUs	8+

Troubleshooting

Symptom	Cause	Fix
0-byte GIF	MP4 was also 0-byte or missing	Check the tape's setup script and mock data
0-byte MP4	VHS crashed or setup script failed	Run the single tape manually: `docker run --rm -v docs/tapes:/data -w /data gh-infra-vhs <name>.tape`
`gh-infra: not found` in recording	Binary not copied or wrong arch	Verify `GOOS=linux GOARCH=amd64 go build` succeeded
Docker OOM	Container hit memory limit	Check Docker Desktop memory allocation (see Resource Planning above)
Multiple tapes fail simultaneously	Docker Desktop memory too low for parallel count	Increase Docker Desktop memory or reduce tape count
"Docker is not running"	Docker daemon not started	Start Docker Desktop or `dockerd`

Regenerating GIFs Only

To re-convert existing MP4s without re-recording, run the ffmpeg step manually:

bash

docker run --rm -v docs/tapes:/data -w /data jrottenberg/ffmpeg:7-alpine \
  -y -i <name>.mp4 \
  -vf "fps=10,scale=1200:-1:flags=lanczos,split[s0][s1];[s0]palettegen=max_colors=256[p];[s1][p]paletteuse=dither=sierra2_4a" \
  <name>.gif

Files

Just SKILL.md in .claude/skills/vhs-demo of babarot/gh-infra.

Open the folder on GitHubat commit 11bab7d

Compare with similar skills

Vhs Demo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vhs Demo compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Vhs Demo this skillbabarot/gh-infra	136	—	~1.2k	Automated safety check: Pass	MIT	today
Setup Mulmoclaudereceptron/mulmoclaude	371	—	~1k	Automated safety check: Notes	MIT	today
Classical Poem Silk VideoMr-funny/hbg-classical-poem-silk-video	361	—	~1.6k	Automated safety check: Pass	MIT	2 mo ago
Verifylkmeta/txtify	135	—	~583	Automated safety check: Pass	Apache-2.0	1 mo ago
Runpoddigitalsamba/claude-code-video-toolkit	2.2k	—	~2.1k	Automated safety check: Notes	MIT	4 days ago
Floor Bot Analysisfossasia/eventyay-interpretation	1.6k	—	~1k	Automated safety check: Notes	Apache-2.0	5 days ago

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Questions about Vhs Demo

What does Vhs Demo do?

A skill your agent uses when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s. Vhs Demo is an agent skill from babarot/gh-infra. Use when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s.

When should I use Vhs Demo?

Vhs Demo fits situations like: running demo recordings; diagnosing recording failures; regenerating GIFs from existing MP4s.

How do I install Vhs Demo in Claude Code?

Run `npx skills add babarot/gh-infra --skill vhs-demo -a claude-code`. Or copy the skill folder (.claude/skills/vhs-demo in babarot/gh-infra) into .claude/skills/vhs-demo in your project. Claude Code loads it when a task matches its description.

How do I install Vhs Demo in Codex?

Run `npx skills add babarot/gh-infra --skill vhs-demo -a codex`. Or copy the skill folder (.claude/skills/vhs-demo in babarot/gh-infra) into .agents/skills/vhs-demo in your project. Codex loads it when a task matches its description.

Can I use Vhs Demo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add babarot/gh-infra --skill vhs-demo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vhs-demo, .gemini/skills/vhs-demo, .github/skills/vhs-demo and .opencode/skills/vhs-demo in your project.

What does Vhs Demo need to run?

Going by SKILL.md and its folder, Vhs Demo needs the command-line tools its instructions call (docker, make and go). Our summary lists: Docker.

Does Vhs Demo access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Vhs Demo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Vhs Demo use?

Vhs Demo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vhs Demo use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vhs Demo?

Skills that share tags, products or a category with Vhs Demo: Setup Mulmoclaude (receptron/mulmoclaude, 371 stars), Classical Poem Silk Video (Mr-funny/hbg-classical-poem-silk-video, 361 stars), Verify (lkmeta/txtify, 135 stars) and Runpod (digitalsamba/claude-code-video-toolkit, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vhs Demo?

babarot (a GitHub user) maintains it in babarot/gh-infra, which has 136 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 10, 2026.

Source: babarot/gh-infra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Vhs Demo

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

VHS Demo Recording

When To Use

Prerequisites

Pipeline

Why MP4 → GIF Instead of Direct GIF

Key Files

Output Locations

Environment Variables

Resource Planning

When Adding New Tapes

Recommended Docker Desktop Settings

Troubleshooting

Regenerating GIFs Only

Files

Compare with similar skills

Similar skills

More from babarot/gh-infra

Related

Questions about Vhs Demo