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Cli Demo Generator

CommunityPopular
daymade
cli-demo-generator

Generates professional animated CLI demos as GIFs using VHS terminal recordings. Handles tape file creation, self-bootstrapping demos with hidden setup, output noise filtering, post-processing speed-up, and frame-level verification. Use when users want to create terminal demos, record CLI workflows as GIFs, generate animated documentation, build demo tapes for README files, or need to showcase any command-line tool visually. Also triggers on "record terminal", "VHS tape", "demo GIF", "animate my CLI", or any request to visually demonstrate shell commands.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill namecli-demo-generator
Stars
1.4K
Forks
219
Bundled files
10
LicenseMIT
Links
  • 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.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Cli Demo Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/cli-demo-generator .claude/skills/cli-demo-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cli Demo Generator 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 Cli Demo Generator 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 Cli Demo Generator 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.

CLI Demo Generator

Create professional animated CLI demos. Four approaches, from fully automated to pixel-precise manual control.

Quick Start

Simplest path — give commands, get GIF:

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/auto_generate_demo.py \
  -c "npm install my-package" \
  -c "npm run build" \
  -o demo.gif

Self-bootstrapping demo — for repeatable recordings that clean their own state:

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/auto_generate_demo.py \
  -c "npm install my-package" \
  -c "npm run build" \
  -o demo.gif \
  --bootstrap "npm uninstall my-package 2>/dev/null" \
  --speed 2

Critical: VHS Parser Limitations

VHS Type strings cannot contain $, \", or backticks. These cause parse errors:

tape
# FAILS — VHS parser rejects special chars
Type "echo \"hello $USER\""
Type "claude() { command claude \"$@\"; }"

Workaround: base64 encode the command, decode at runtime:

bash
# 1. Encode your complex command
echo 'claude() { command claude "$@" 2>&1 | grep -v "noise"; }' | base64
# Output: Y2xhdWRlKCkgey4uLn0K

# 2. Use in tape
Type "echo Y2xhdWRlKCkgey4uLn0K | base64 -d > /tmp/wrapper.sh && source /tmp/wrapper.sh"

This pattern is essential for output filtering, function definitions, and any command with shell special characters.

Approaches

1. Automated Generation (Recommended)

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/auto_generate_demo.py \
  -c "command1" -c "command2" \
  -o output.gif \
  --title "My Demo" \
  --theme "Catppuccin Latte" \
  --font-size 24 \
  --width 1400 --height 600
FlagDefaultDescription
-crequiredCommand to include (repeatable)
-orequiredOutput GIF path
--titlenoneTitle shown at start
--themeDraculaVHS theme name
--font-size16Font size in pt
--width1400Terminal width px
--height700Terminal height px
--bootstrapnoneHidden setup command (repeatable)
--filternoneRegex pattern to filter from output
--speed1Playback speed multiplier (uses gifsicle)
--no-executefalseGenerate .tape only

Smart timing: install/build/test/deploy → 3s, ls/pwd/echo → 1s, others → 2s.

2. Batch Generation

Create multiple demos from one config:

yaml
# demos.yaml
demos:
  - name: "Install"
    output: "install.gif"
    commands: ["npm install my-package"]
  - name: "Usage"
    output: "usage.gif"
    commands: ["my-package --help", "my-package run"]
bash
python3 ${CLAUDE_SKILL_DIR}/scripts/batch_generate.py demos.yaml --output-dir ./gifs

3. Interactive Recording

Record a live terminal session:

bash
bash ${CLAUDE_SKILL_DIR}/scripts/record_interactive.sh output.gif --theme "Catppuccin Latte"
# Type commands naturally, Ctrl+D when done

Requires asciinema (brew install asciinema).

4. Manual Tape File

For maximum control, write a tape directly. Templates in assets/templates/:

  • basic.tape — simple command sequence
  • interactive.tape — typing simulation
  • self-bootstrap.tapeself-cleaning demo with hidden setup (recommended for repeatable demos)

Advanced Patterns

These patterns come from production use. See references/advanced_patterns.md for full details.

Self-Bootstrapping Demos

Demos that clean previous state, set up environment, and hide all of it from the viewer:

tape
Hide
Type "cleanup-previous-state 2>/dev/null"
Enter
Sleep 2s
Type "clear"
Enter
Sleep 500ms
Show

Type "the-command-users-see"
Enter
Sleep 3s

The Hide → commands → clearShow sequence is critical. clear wipes the terminal buffer so hidden commands don't leak into the GIF.

Output Noise Filtering

Filter noisy progress lines from commands that produce verbose output:

tape
# Hidden: create a wrapper function that filters noise
Hide
Type "echo <base64-encoded-wrapper> | base64 -d > /tmp/w.sh && source /tmp/w.sh"
Enter
Sleep 500ms
Type "clear"
Enter
Sleep 500ms
Show

# Visible: clean command, filtered output
Type "my-noisy-command"
Enter
Sleep 3s

Frame Verification

After recording, verify GIF content by extracting key frames:

bash
# Extract frames at specific positions
ffmpeg -i demo.gif -vf "select=eq(n\,100)" -frames:v 1 /tmp/frame.png -y 2>/dev/null

# View the frame (Claude can read images)
# Use Read tool on /tmp/frame.png to verify content

Post-Processing Speed-Up

Use gifsicle to speed up recordings without re-recording:

bash
# 2x speed (halve frame delay)
gifsicle -d2 original.gif "#0-" > fast.gif

# 1.5x speed
gifsicle -d4 original.gif "#0-" > faster.gif

Template Placeholder Pattern

Keep tape files generic with placeholders, replace at build time:

tape
# In tape file
Type "claude plugin marketplace add MARKETPLACE_REPO"

# In build script
sed "s|MARKETPLACE_REPO|$DETECTED_REPO|g" template.tape > rendered.tape
vhs rendered.tape

Timing & Sizing Reference

ContextWidthHeightFontDuration
README/docs140060016-2010-20s
Presentation18009002415-30s
Compact embed120060014-1610-15s
Wide output16008001615-30s

See references/best_practices.md for detailed guidelines.

Troubleshooting

ProblemSolution
VHS not installedbrew install charmbracelet/tap/vhs
gifsicle not installedbrew install gifsicle
GIF too largeReduce dimensions, sleep times, or use --speed 2
Text wraps/breaksIncrease --width or decrease --font-size
VHS parse error on $ or \"Use base64 encoding (see Critical section above)
Hidden commands leak into GIFAdd clear + Sleep 500ms before Show
Commands execute before previous finishesIncrease Sleep duration

Tape File Syntax

references/vhs_syntax.md is the full VHS tape-file reference — every command, setting, and key name, with the argument forms each accepts. Read it when writing a tape by hand, when a tape parses but behaves unexpectedly, or when you need a command this SKILL.md does not show an example of.

Dependencies

Required: VHS (brew install charmbracelet/tap/vhs)

Optional: gifsicle (speed-up), asciinema (interactive recording), ffmpeg (frame verification), PyYAML (batch YAML configs)

Bundled files

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

Frequently asked questions

What does the Cli Demo Generator AI skill do?

Generates professional animated CLI demos as GIFs using VHS terminal recordings. Handles tape file creation, self-bootstrapping demos with hidden setup, output noise filtering, post-processing speed-up, and frame-level verification. Use when users want to create terminal demos, record CLI workflows as GIFs, generate animated documentation, build demo tapes for README files, or need to showcase any command-line tool visually. Also triggers on "record terminal", "VHS tape", "demo GIF", "animate my CLI", or any request to visually demonstrate shell commands.

Why use Cli Demo Generator on TypingMind?

Because you install it once and use it with any model. Cli Demo Generator 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 Cli Demo Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/cli-demo-generator. 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 Cli Demo Generator?

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 Cli Demo Generator?

As many as you like. As long as a model supports skills, you can use Cli Demo Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cli Demo Generator AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. 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.

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