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Playground

AnthropicOfficialPublished by Anthropic

  • Skill
  • Content generator
  • Software development
  • Apache-2.0
  • No issues found

From the author

Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.
— the description by Anthropic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Playground is a tool for creating single-file HTML explorers that allow users to interact with complex configurations through a visual interface. It provides a structured way to build tools where users adjust settings via controls, view live updates, and generate natural-language prompts based on their selections. By using predefined templates, it ensures consistency in design, state management, and prompt output, making it ideal for topics that are difficult to describe through text alone.

What it does

  • Creates single-file HTML playgrounds with no external dependencies.
  • Provides a live preview that updates instantly as controls are adjusted.
  • Generates actionable, natural-language prompts based on user configuration.
  • Supports multiple templates for design, data, architecture, and document review.
  • Includes preset configurations for quick exploration.
  • Features a copy-to-clipboard function for generated prompts.

When to use it

  • When you need a visual tool to explore complex configuration spaces.
  • When a user needs to generate specific prompts based on visual or structural choices.
  • When you want to provide an interactive way to experiment with design, data, or architecture.
  • When you need to simplify complex inputs into a user-friendly interface.

Advantages

  • Self-contained files ensure portability and reliability without external dependencies.
  • Immediate visual feedback improves user understanding and decision-making.
  • Natural-language prompt generation bridges the gap between visual exploration and AI interaction.
  • Standardized templates ensure a consistent and professional user experience.

Usage examples

“Create a design playground for a card component.”
Generates an HTML file with controls for border-radius, shadows, and spacing, allowing the user to visually design a card and copy the resulting prompt.
“Build a data explorer for my SQL query builder.”
Produces an interactive tool that lets the user select table joins and filters, outputting a natural-language request to generate the corresponding SQL.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/anthropics/playground/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip playground.zip -d .agents/skills

Documentation by Anthropic

Playground Builder

A playground is a self-contained HTML file with interactive controls on one side, a live preview on the other, and a prompt output at the bottom with a copy button. The user adjusts controls, explores visually, then copies the generated prompt back into Claude.

When to use this skill

When the user asks for an interactive playground, explorer, or visual tool for a topic — especially when the input space is large, visual, or structural and hard to express as plain text.

How to use this skill

  1. Identify the playground type from the user's request

  2. Load the matching template from templates/:

    • templates/design-playground.md — Visual design decisions (components, layouts, spacing, color, typography)

    • templates/data-explorer.md — Data and query building (SQL, APIs, pipelines, regex)

    • templates/concept-map.md — Learning and exploration (concept maps, knowledge gaps, scope mapping)

    • templates/document-critique.md — Document review (suggestions with approve/reject/comment workflow)

    • templates/diff-review.md — Code review (git diffs, commits, PRs with line-by-line commenting)

    • templates/code-map.md — Codebase architecture (component relationships, data flow, layer diagrams)

  3. Follow the template to build the playground. If the topic doesn't fit any template cleanly, use the one closest and adapt.

  4. Open in browser. After writing the HTML file, run open <filename>.html to launch it in the user's default browser.

Core requirements (every playground)

  • Single HTML file. Inline all CSS and JS. No external dependencies.

  • Live preview. Updates instantly on every control change. No "Apply" button.

  • Prompt output. Natural language, not a value dump. Only mentions non-default choices. Includes enough context to act on without seeing the playground. Updates live.

  • Copy button. Clipboard copy with brief "Copied!" feedback.

  • Sensible defaults + presets. Looks good on first load. Include 3-5 named presets that snap all controls to a cohesive combination.

  • Dark theme. System font for UI, monospace for code/values. Minimal chrome.

State management pattern

Keep a single state object. Every control writes to it, every render reads from it.

const state = { /* all configurable values */ };

function updateAll() {
  renderPreview(); // update the visual
  updatePrompt();  // rebuild the prompt text
}
// Every control calls updateAll() on change

Prompt output pattern

function updatePrompt() {
  const parts = [];

  // Only mention non-default values
  if (state.borderRadius !== DEFAULTS.borderRadius) {
    parts.push(`border-radius of ${state.borderRadius}px`);
  }

  // Use qualitative language alongside numbers
  if (state.shadowBlur > 16) parts.push('a pronounced shadow');
  else if (state.shadowBlur > 0) parts.push('a subtle shadow');

  prompt.textContent = `Update the card to use ${parts.join(', ')}.`;
}

Common mistakes to avoid

  • Prompt output is just a value dump → write it as a natural instruction

  • Too many controls at once → group by concern, hide advanced in a collapsible section

  • Preview doesn't update instantly → every control change must trigger immediate re-render

  • No defaults or presets → starts empty or broken on load

  • External dependencies → if CDN is down, playground is dead

  • Prompt lacks context → include enough that it's actionable without the playground

Files

templates/code-map.md

Code Map Template

Use this template when the playground is about visualizing codebase architecture: component relationships, data flow, layer diagrams, system architecture with interactive commenting for feedback.

Layout

+-------------------+----------------------------------+
|                   |                                  |
|  Controls:        |  SVG Canvas                      |
|  • View presets   |  (nodes + connections)           |
|  • Layer toggles  |  with zoom controls              |
|  • Connection     |                                  |
|    type filters   |  Legend (bottom-left)            |
|                   |                                  |
|  Comments (n):    +----------------------------------+
|  • List of user   |  Prompt output                   |
|    comments with  |  [ Copy Prompt ]                 |
|    delete buttons |                                  |
+-------------------+----------------------------------+

Code map playgrounds use an SVG canvas for the architecture diagram. Users click components to add comments, which become part of the generated prompt. Layer and connection filters let users focus on specific parts of the system.

Control types for code maps

DecisionControlExample
System viewPreset buttonsFull System, Chat Flow, Data Flow, Agent System
Visible layersCheckboxesClient, Server, SDK, Data, External
Connection typesCheckboxes with color indicatorsData Flow (blue), Tool Calls (green), Events (red)
Component feedbackClick-to-comment modalOpens modal with textarea for feedback
Zoom level+/−/reset buttonsScale SVG for detail

Canvas rendering

Use an <svg> element with dynamically generated nodes and paths. Key patterns:

  • Nodes: Rounded rectangles with title and subtitle (file path)

  • Connections: Curved paths (bezier) with arrow markers, styled by type

  • Layer organization: Group nodes by Y-position bands (e.g., y: 30-80 = Client, y: 130-180 = Server)

  • Click-to-comment: Click node → open modal → save comment → node gets visual indicator

  • Filtering: Toggle visibility of nodes by layer, connections by type

const nodes = [
  { id: 'api-client', label: 'API Client', subtitle: 'src/api/client.ts',
    x: 100, y: 50, w: 140, h: 45, layer: 'client', color: '#dbeafe' },
  // ...
];

const connections = [
  { from: 'api-client', to: 'server', type: 'data-flow', label: 'HTTP' },
  { from: 'server', to: 'db', type: 'data-flow' },
  // ...
];

function renderDiagram() {
  const visibleNodes = nodes.filter(n => state.layers[n.layer]);
  // Draw connections first (under nodes), then nodes
  connections.forEach(c => drawConnection(c));
  visibleNodes.forEach(n => drawNode(n));
}

Connection types and styling

Define 3-5 connection types with distinct visual styles:

TypeColorStyleUse for
data-flowBlue (#3b82f6)Solid lineRequest/response, data passing
tool-callGreen (#10b981)Dashed (6,3)Function calls, API invocations
eventRed (#ef4444)Short dash (4,4)Async events, pub/sub
skill-invokeOrange (#f97316)Long dash (8,4)Plugin/skill activation
dependencyGray (#6b7280)DottedImport/require relationships

Use SVG markers for arrowheads:

<marker id="arrowhead-blue" markerWidth="8" markerHeight="6" refX="7" refY="3" orient="auto">
  <polygon points="0 0, 8 3, 0 6" fill="#3b82f6"/>
</marker>

Comment system

The key differentiator for code maps is click-to-comment functionality:

  1. Click node → Open modal with component name, file path, textarea

  2. Save comment → Add to comments list, mark node with visual indicator (colored border)

  3. View comments → Sidebar list with component name, comment preview, delete button

  4. Delete comment → Remove from list, update node visual, regenerate prompt

Comments should include the component context:

state.comments.push({
  id: Date.now(),
  target: node.id,
  targetLabel: node.label,
  targetFile: node.subtitle,
  text: userInput
});

Prompt output for code maps

The prompt combines system context with user comments:

This is the [PROJECT NAME] architecture, focusing on the [visible layers].

Feedback on specific components:

**API Client** (src/api/client.ts):
I want to add retry logic with exponential backoff here.

**Database Manager** (src/db/manager.ts):
Can we add connection pooling? Current implementation creates new connections per request.

**Auth Middleware** (src/middleware/auth.ts):
This should validate JWT tokens and extract user context.

Only include comments the user added. Mention which layers are visible if not showing the full system.

Pre-populating with real data

For a specific codebase, pre-populate with:

  • Nodes: 15-25 key components with real file paths

  • Connections: 20-40 relationships based on actual imports/calls

  • Layers: Logical groupings (UI, API, Business Logic, Data, External)

  • Presets: "Full System", "Frontend Only", "Backend Only", "Data Flow"

Organize nodes in horizontal bands by layer, with consistent spacing.

Layer color palette (light theme)

LayerNode fillDescription
Client/UI#dbeafe (blue-100)React components, hooks, pages
Server/API#fef3c7 (amber-100)Express routes, middleware, handlers
SDK/Core#f3e8ff (purple-100)Core libraries, SDK wrappers
Agent/Logic#dcfce7 (green-100)Business logic, agents, processors
Data#fce7f3 (pink-100)Database, cache, storage
External#fbcfe8 (pink-200)Third-party services, APIs

Example topics

  • Codebase architecture explorer (modules, imports, data flow)

  • Microservices map (services, queues, databases, API gateways)

  • React component tree (components, hooks, context, state)

  • API architecture (routes, middleware, controllers, models)

  • Agent system (prompts, tools, skills, subagents)

  • Data pipeline (sources, transforms, sinks, scheduling)

  • Plugin/extension architecture (core, plugins, hooks, events)

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Anthropic
Publisher
Anthropic (Official)
Source
anthropics/claude-plugins-official · plugins/playground/skills/playground · commit 0412be7
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from plugins/playground/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Anthropic.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download playground.zip