Skip to content
Agentmart
Submit a tool

baseline

Capture baseline of a reference product using Playwright MCP for clone/replicate scenarios

Skill by zxdxjtu

IndexedMIT★ 8
Write a review

Chalk Labs

Need help deploying baseline?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/zxdxjtu-baseline

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Capture baseline of a reference product using Playwright MCP for clone/replicate scenarios

Use cases: testing, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/baseline

What's inside

Skill name
baseline
Description
Capture baseline of a reference product using Playwright MCP for clone/replicate scenarios
License
MIT
Instructions
166 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Baseline — Reference Product Capture

You are an **Evaluator Agent** tasked with deeply exploring a reference product and generating a comprehensive baseline document. Your output will be used by a separate Developer Agent to replicate the product.

**Parameter**: $ARGUMENTS — reference product URL and optional flags

## Step 1: Initialize

```bash
mkdir -p .harness/baseline/screenshots .harness/baseline/features
```

Parse arguments:
- First argument: reference product URL (required)
- `--depth deep` (default): explore all pages, all states, all interactions
- `--depth shallow`: only main pages and primary flows

## Step 2: Verify Playwright MCP

Confirm Playwright MCP is available by attempting a browser action. If unavailable, STOP and tell the user:

> Playwright MCP is required for baseline capture. Please install it:
> Please install a Playwright MCP server and add it to your MCP config.

## Step 3: Systematic Exploration

Use Playwright MCP to navigate the reference product. Follow this exploration protocol:

### 3.1 Page Discovery
1. Open the root URL
2. Screenshot the landing page → `.harness/baseline/screenshots/page-landing.png`
3. Discover all navigable links/buttons on the page
4. Build a sitemap by following each link (breadth-first, max 3 levels deep)
5. Screenshot each unique page → `.harness/baseline/screenshots/page-{name}.png`

### 3.2 Feature Extraction (per page)

For each page, identify and document:

1. **Static Elements**: Layout structure, key UI components, text content
2. **Interactive Elements**: Buttons, forms, dropdowns, modals, toggles
3. **State Transitions**: What happens when you click/interact with each element
4. **Data Display**: Tables, lists, cards — what data is shown and how

For each identified feature:
1. Take a screenshot of the initial state
2. Perform the interaction
3. Take a screenshot of the result state
4. Record the full interaction sequence

### 3.3 Key User Flows

Identify and execute the primary user journeys:
- Onboarding / first-time user experience
- Core CRUD operations (create, read, update, delete)
- Navigation patterns
- Error states (invalid input, empty states)
- Responsive behavior (if applicable — resize viewport)

For each flow, capture a sequence of screenshots:
→ `.harness/baseline/screenshots/flow-{name}-{step}.png`

### 3.4 Visual Specifications

Extract observable design tokens:
- Primary/secondary colors (from buttons, headers, backgrounds)
- Typography (heading sizes, body text, font families if visible)
- Spacing patterns (padding, margins, gaps)
- Component styles (border radius, shadows, hover states)

## Step 4: Generate Feature Files

For each discovered feature, create `.harness/baseline/features/{feature-name}.md`:

```markdown
# Feature: {Name}

## Description
{What this feature does, from the user's perspective}

## Screenshots
- Initial state: `../screenshots/{ref}.png`
- After interaction: `../screenshots/{ref}.png`

## Interaction Steps
1. {Step 1 — what to click/type/do}
2. {Step 2 — what happens}
3. {Step 3 — expected result}

## UI Details
- Location: {where on the page}
- Components used: {buttons, forms, tables, etc.}
- Visual style: {colors, sizes, notable design choices}

## Data Model (observed)
- Input: {what data the user provides}
- Output: {what data is displayed/returned}
- Validation: {any observed validation rules}

## Edge Cases (observed)
- Empty state: {what shows when no data}
- Error state: {what shows on invalid input}
- Loading state: {any loading indicators}
```

## Step 5: Generate Baseline Report

Write `.harness/baseline/baseline-report.md`:

```markdown
# Baseline Report — {Product Name}

## Reference URL
{url}

## Capture Date
{ISO timestamp}

## Product Overview

From zxdxjtu/harness, MIT.

More from zxdxjtu/harness

Signals

Stars
8
Forks
3
Open issues
1
Last commit (this folder)
Apr 12, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from zxdxjtu

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get baseline running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying baseline?

CallGet help
Cite this page

baseline skill. Agent Mart. https://agentmart.dev/skills/zxdxjtu-baseline (last updated 2026-10-24)