Before And After

CommunityPopular

michaelshimeles

before-and-after

Captures before/after screenshots of web pages or elements for visual comparison. Use when user says "take before and after", "screenshot comparison", "visual diff", "PR screenshots", "compare old and new", or needs to document UI changes. Accepts two URLs (file://, http://, https://) or two image paths.

Overview

Publisher	michaelshimeles
Repository	`skills`
Skill name	`before-and-after`
Stars	1.2K
Forks	198
Bundled files	5
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by michaelshimeles on GitHub. Read the source before you install it.

Installation

Install the Before And After AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/michaelshimeles/skills/tree/main/before-and-after
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.

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/michaelshimeles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/before-and-after .claude/skills/before-and-after

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Before And After 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 Before And After 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 Before And After 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.

Before-After Screenshot Skill

Package: @vercel/before-and-after Never use before-and-after (wrong package).

Agent Behavior Rules

DO NOT:

Switch git branches, stash changes, start dev servers, or assume what "before" is
Use --full unless user explicitly asks for full page / full scroll capture

DO:

Use --markdown when user wants PR integration or markdown output
Use --mobile / --tablet if user mentions phone, mobile, tablet, responsive, etc.
Assume current state is After
If user provides only one URL or says "PR screenshots" without URLs, ASK: "What URL should I use for the 'before' state? (production URL, preview deployment, or another local port)"

Execution Order (MUST follow)

Pre-flight — which before-and-after || npm install -g @vercel/before-and-after
Protection check — if .vercel.app URL: curl -s -o /dev/null -w "%{http_code}" "<url>" (401/403 = protected)
Capture — before-and-after "<before-url>" "<after-url>"
Upload — ./scripts/upload-and-copy.sh <before.png> <after.png> --markdown
PR integration — optionally gh pr edit to append markdown

Never skip steps 1-2.

Quick Reference

bash
# Basic usage
before-and-after <before-url> <after-url>

# With selector
before-and-after url1 url2 ".hero-section"

# Different selectors for each
before-and-after url1 url2 ".old-card" ".new-card"

# Viewports
before-and-after url1 url2 --mobile    # 375x812
before-and-after url1 url2 --tablet    # 768x1024
before-and-after url1 url2 --full      # full scroll

# From existing images
before-and-after before.png after.png --markdown

# Via npx (use full package name!)
npx @vercel/before-and-after url1 url2

Flag	Description
`-m, --mobile`	Mobile viewport (375x812)
`-t, --tablet`	Tablet viewport (768x1024)
`--size <WxH>`	Custom viewport
`-f, --full`	Full scrollable page
`-s, --selector`	CSS selector to capture
`-o, --output`	Output directory (default: ~/Downloads)
`--markdown`	Upload images & output markdown table
`--upload-url <url>`	Custom upload endpoint (default: 0x0.st)

Image Upload

bash
# Default (0x0.st - no signup needed)
./scripts/upload-and-copy.sh before.png after.png --markdown

# GitHub Gist
IMAGE_ADAPTER=gist ./scripts/upload-and-copy.sh before.png after.png --markdown

Vercel Deployment Protection

If .vercel.app URL returns 401/403:

Check Vercel CLI: which vercel && vercel whoami
If available: vercel inspect <url> to get bypass token
If not: Tell user to provide bypass token, take manual screenshots, or disable protection

PR Integration

bash
# Check for gh CLI
which gh

# Get current PR
gh pr view --json number,body

# Append screenshots to PR body
gh pr edit <number> --body "<existing-body>

## Before and After
<generated-markdown>"

If no gh CLI: output markdown and tell user to paste manually.

Error Reference

Error	Fix
`command not found`	`npm install -g @vercel/before-and-after`
`could not determine executable`	Use `npx @vercel/before-and-after` (full name)
401/403 on .vercel.app	See Vercel protection section
Element not found	Verify selector exists on page

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 Before And After AI skill do?

Why use Before And After on TypingMind?

Because you install it once and use it with any model. Before And After 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 Before And After in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/michaelshimeles/skills/tree/main/before-and-after. 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 Before And After?

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 Before And After?

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

Is the Before And After AI skill free?

It is published on GitHub by michaelshimeles. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Before-After Screenshot Skill

Agent Behavior Rules

Execution Order (MUST follow)

Quick Reference

Image Upload

Vercel Deployment Protection

PR Integration

Error Reference

Bundled files

Frequently asked questions

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