Automates the creation of terminal demo files for GitHub integration using asciinema, agg, and svg-term-cli.

Install

mkdir -p .claude/skills/pr-demo && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3796" && unzip -o skill.zip -d .claude/skills/pr-demo && rm skill.zip

Installs to .claude/skills/pr-demo

Activation

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Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.
164 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Record terminal sessions with asciinema
  • Convert recordings to GIF or SVG formats
  • Adjust playback speed and font size
  • Validate file size and duration constraints
  • Embed terminal demos in PR documentation

How it works

The skill follows a script-record-convert-embed workflow to capture terminal activity as a lightweight animated file suitable for documentation.

Inputs & outputs

You give it
Terminal command script
You get back
Optimized GIF or SVG demo file

When to use pr-demo

  • Record CLI commands for a PR
  • Create animated documentation for a tool
  • Generate lightweight SVG terminal demos
  • Prepare terminal environments for screen recording

About this skill

PR Demo Creation

Overview

Create polished terminal demos for PRs using asciinema recordings converted to GIF. The workflow: script → record → convert → embed.

Tool Selection

GoalTool ChainOutput
CLI demo for GitHub PRasciinema → aggGIF (< 5MB)
Smaller file neededasciinema → svg-term-cliSVG (< 500KB)
TUI screenshottmux → freezeSVG/PNG

Default choice: asciinema + agg (best compatibility, GitHub renders GIFs natively)

Prerequisites

# Install tools (macOS)
brew install asciinema
cargo install --git https://github.com/asciinema/agg
npm install -g svg-term-cli  # Optional: for SVG output

Workflow

1. Script Your Demo (REQUIRED)

Before recording, write a brief script:

## Demo: [feature name]
Duration: ~20-30 seconds

1. [0-3s] Show command being typed
2. [3-10s] Command executes, show key output
3. [10-25s] Highlight the "aha moment" - what makes this valuable
4. [25-30s] Clean exit or final state

Keep it short. 20-30 seconds max. Show ONE thing well.

2. Prepare Environment

# Clean terminal state
clear
export PS1='$ '                    # Simple prompt
export TERM=xterm-256color         # Consistent colors
# Hide sensitive info (API keys, paths with usernames)

Terminal size: 100x24 (readable when scaled down)

3. Record

# Record to .cast file
asciinema rec demo.cast --cols 100 --rows 24

# Execute your scripted demo
# Press Ctrl+D or type 'exit' when done

Tips:

  • Type at readable speed (not too fast)
  • Pause briefly after key moments
  • If you make a mistake, start over (editing is harder than re-recording)

4. Convert to GIF

# Basic conversion (recommended)
agg demo.cast demo.gif

# With speed adjustment (1.5x faster)
agg --speed 1.5 demo.cast demo.gif

# With custom font size for readability
agg --font-size 14 demo.cast demo.gif

Alternative - SVG (smaller files):

svg-term --in demo.cast --out demo.svg --window

5. Validate (Self-Validation)

Claude can self-validate demos using three approaches:

A. Automated Checks (run these first)

# Check file size (must be < 5MB for GitHub)
ls -lh demo.gif

# Check recording duration from .cast metadata
head -1 demo.cast | jq '.duration // "check manually"'

B. Visual Validation (LLM-as-judge)

Extract a static frame for Claude to analyze:

# Option 1: Use svg-term to render a specific timestamp (e.g., 15 seconds in)
svg-term --in demo.cast --out demo-preview.svg --at 15000

# Option 2: Use asciinema cat + freeze for a snapshot
asciinema cat demo.cast | head -500 | freeze -o demo-preview.png

# Option 3: Just convert to GIF and use the file directly
# Claude can read GIF files with the Read tool

Then ask Claude to analyze using the Read tool on the image:

Validation prompt:

Analyze this terminal demo screenshot. Check:
1. Is the text readable (not too small/blurry)?
2. Is the command being demonstrated visible?
3. Is there any sensitive info (API keys, /Users/username paths)?
4. Does the terminal look clean (simple prompt, no clutter)?
5. Is the "aha moment" visible - what value does this demo show?

Rate: PASS or FAIL with specific issues.

C. Content Validation (parse .cast file)

The .cast file is JSON lines - validate the content programmatically:

# Check what commands were typed (input events)
grep '"i"' demo.cast | head -20

# Check recording duration
head -1 demo.cast | jq -r '.duration | floor'
# Should be 20-30 seconds

# Look for sensitive patterns
grep -iE '(api.?key|password|secret|/Users/[a-z])' demo.cast && echo "WARNING: Sensitive data found!"

D. Full Validation Checklist

After running the above, verify:

  • File size < 5MB (automated)
  • Duration 20-30 seconds (automated)
  • No sensitive info in .cast (automated)
  • Text readable in preview frame (visual/LLM)
  • Demo shows feature clearly (visual/LLM)
  • Clean terminal appearance (visual/LLM)

6. Embed in PR

## Demo

![feature demo](./docs/demos/feature-demo.gif)

*Shows: [one-sentence description of what the demo shows]*

Store demos in docs/demos/ or assets/ directory.

Quick Reference

SettingRecommended Value
Duration20-30 seconds
Terminal size100x24
Speed multiplier1.0-1.5x
Target file size< 2MB ideal, < 5MB max
Font size (agg)14-16

Common Mistakes

MistakeFix
Demo too longScript it first, show ONE thing
Text unreadableUse --font-size 14+, terminal 100x24
File too largeUse svg-term-cli instead, or increase speed
Cluttered terminalClean PS1, clear history, hide paths
No context in PRAdd one-line description below GIF

File Organization

docs/demos/
├── feature-name.gif      # The demo
├── feature-name.cast     # Source recording (optional, for re-rendering)
└── README.md             # Recording instructions for future maintainers

When not to use it

  • When the demo requires high-resolution graphical UI elements
  • When the terminal output contains sensitive information

Prerequisites

asciinemaagg (asciinema-gif-generator)svg-term-cli

Limitations

  • File size must remain under 5MB for GitHub embedding
  • Requires manual scripting for optimal results

How it compares

It provides a standardized, automated pipeline for creating polished terminal demos instead of manual screen recording.

Compared to similar skills

pr-demo side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
pr-demo (this skill)15moReviewIntermediate
updating-changelog15moReviewIntermediate
releasenotes12moNo flagsBeginner
bd-to-br-migration16moReviewIntermediate

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