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Image & Video Generation @paulpete Updated 2/26/2026

Pr Demo OpenClaw Skill - ClawHub

Do you want your AI agent to automate Pr Demo workflows? This free skill from ClawHub helps with image & video generation tasks without building custom tools from scratch.

What this skill does

Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.

Install

npx clawhub@latest install pr-demo

Full SKILL.md

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namedescription
pr-demoUse when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.

PR Demo Creation

Overview

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

Tool Selection

Goal Tool Chain Output
CLI demo for GitHub PR asciinema → agg GIF (< 5MB)
Smaller file needed asciinema → svg-term-cli SVG (< 500KB)
TUI screenshot tmux → freeze SVG/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

Setting Recommended Value
Duration 20-30 seconds
Terminal size 100x24
Speed multiplier 1.0-1.5x
Target file size < 2MB ideal, < 5MB max
Font size (agg) 14-16

Common Mistakes

Mistake Fix
Demo too long Script it first, show ONE thing
Text unreadable Use --font-size 14+, terminal 100x24
File too large Use svg-term-cli instead, or increase speed
Cluttered terminal Clean PS1, clear history, hide paths
No context in PR Add 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
Original URL: https://github.com/openclaw/skills/blob/main/skills/paulpete/pr-demo

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