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anima

Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting.

Skill by animaapp

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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/leoyeai-anima

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.

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About

Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting. Anima is the design agent in the AI swarm, giving agents design awareness and brand consistency when building interfaces. Three input paths: describe what you want (prompt to code), clone any website (link to code), or implement a Figma design (Figma to code). Also generates design-aware code from Figma directly into existing codebases. Triggers when the user provides Figma URLs, website URLs, Anima Playground URLs, asks to design, create, build, or prototype something, or wants to publish or deploy.

Use cases: design, backend, devops, agent-building

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Permissions

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

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/anima

What's inside

Skill name
anima
Description
Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting. Anima is the design agent in the AI swarm, giving agents design awareness and brand consistency when building interfaces. Three input paths: describe what you want (prompt to code), clone any website (link to code), or implement a Figma design (Figma to code). Also generates design-aware code from Figma directly into existing codebases. Triggers when the user provides Figma URLs, website URLs, Anima Playground URLs, asks to design, create, build, or prototype something, or wants to publish or deploy.
License
MIT
Compatibility
Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMA_API_KEY.
Metadata
author: animaapp · version: 1.1.0
Instructions
417 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: "anima" does not match folder "anima-design-agent"

Files (2)

  • SKILL.md
  • _meta.json

SKILL.md (first lines)

# Design and Build with Anima

## Overview

Anima is the design agent in your AI coding swarm. This skill gives agents design awareness and the ability to turn visual ideas into production-ready code.

There are **two distinct paths** depending on what you're trying to do:

### Path A: Create & Publish (Full App Creation)

Build complete applications from scratch. No local codebase needed. Anima handles everything: design, code generation, scalable database, and hosting. You go from idea to live URL in minutes.

This path is powerful for **parallel variant creation**. Generate multiple versions of the same idea with different prompts, all at the same time. Pick the best one, then open the playground URL to keep refining. All without writing a line of code or managing infrastructure.

**Create Anima Playgrounds by:** Prompt, Clone URL, Figma URL

**What you get:**
- A fully working application in an Anima Playground
- The ability to generate multiple variants in parallel and compare them
- No tokens wasted on file scanning, dependency resolution, or build tooling
- Scalable database already connected
- Scalable hosting when you publish

### Path B: Integrate into Codebase (Design-Aware Code Generation)

Pull design elements and experiences from Anima into your existing project. Use this when you have a codebase and want to implement specific components or pages from a Figma design url or an existing Anima Playground.

**Flows:** Figma URL to Code (codegen), Anima Playground to Code

**What you get:**
- Generated code from Anima playgrounds designs adapted to your stack
- Precise design tokens, assets, and implementation guidelines

---

## Prerequisites

- Anima MCP server must be connected and accessible — or use the Anima CLI as an alternative
- User must have an Anima account (free tier available)
- For Figma flows: Figma account connected during Anima authentication

## Important: Timeouts

Anima's `playground-create` tool generates full applications from scratch. This takes time:

- **p2c (prompt to code):** Typically 3-7 minutes
- **l2c (link to code):** Typically 3-7 minutes
- **f2c (Figma to code):** Typically 2-5 minutes
- **playground-publish:** Typically 1-3 minutes

**Always use a 10-minute timeout** (600000ms) for `playground-create`, `playground-publish`, and CLI calls. Default timeouts will fail.

## Setup

Use the Anima CLI (`npx @animaapp/cli`) for all operations. CLI examples are shown throughout this guide. See the [CLI documentation](https://github.com/AnimaApp/anima-cli) for authentication setup.

If the Anima MCP server is connected, MCP tools can also be used. See the [MCP setup guide](https://github.com/AnimaApp/mcp-server-guide/blob/main/anima-skill-references/setup.md) for details.

---

## Choosing the Right Path

Before diving into tools and parameters, decide which path fits the user's goal.

### When to use Path A (Create & Publish)

- User wants to **build something new** from a description, reference site, or Figma design
- User wants a **live URL** they can share immediately
- No existing codebase to integrate into
- Goal is prototyping, exploring visual directions, or shipping a standalone app

### When to use Path B (Integrate into Codebase)

- User has an **existing project** and wants to add a component or page from Figma
- User wants **generated code files** to drop into their repo, not a hosted app
- User already built something in an Anima Playground and wants to pull the code locally

### Ambiguous cases

| User says | Likely path | Why |
|---|---|---|
| "Implement this Figma design" | **Path B** | "Implement" implies code in their project |
| "Turn this Figma into a live site" | **Path A** (f2c) | "Live site" means they want hosting |
| "Build me an app like this" + URL | **Path A** (l2c) | Clone and rebuild from scratch |
| "Add this Figma component to my project" | **Path B** | "Add to my project" = codebase integration |
| "Clone this website" | **Path A** (l2c) | Clone = capture and rebuild from scratch |
| "Download the playground code" | **Path B** | Wants files locally |

When still unclear, ask: "Do you want a live hosted app, or code files to add to your project?"

---

## From Request to Prompt

Before calling any tool, the agent needs to decide: is this request ready to build, or does it need clarification? And if it's ready, how do you write a prompt that lets Anima shine?

### When to ask vs when to build

**Threshold rule:** Can you write a prompt that includes **purpose**, **audience**, and **3-5 key features**? Yes = build. No = ask.

**Signals to just build:**
- "Build a recipe sharing app where users can upload photos and rate each other's dishes" (clear purpose, audience implied, features named)
- "Clone stripe.com" (unambiguous)
- "Turn this into a live site" + Figma URL (clear intent and input)

**Signals to ask:**
- "Build me a website" (what kind? for whom?)
- "Make something for my business" (what does the business do?)
- "Create an app" (what should it do?)

When you ask, ask everything in **one message**. Don't drip-feed questions. If the user is vague and doesn't want to answer, skip clarification and use [Explore Mode](#explore-mode-parallel-variants) to generate 3 variants instead. Showing beats asking.

### Crafting the prompt

Anima is a design-aware AI. Treat it like a creative collaborator, not a code compiler. Describe the *feel* of what you want, not the pixel-level implementation. Over-specifying with code and hex values **overrides Anima's design intelligence** and produces generic results.

**Include in prompts:** purpose, audience, mood/style, 3-5 key features, content tone.

**Leave out of prompts:** code snippets, CSS values, hex colors, pixel dimensions, font sizes, component library names (use the `uiLibrary` parameter instead), implementation details, file structure.

From LeoYeAI/openclaw-master-skills, MIT.

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Last commit (this folder)
Jul 6, 2026 (3 months ago)
Last release
Jul 20, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.1.0
License
MIT
Website
myclaw.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

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