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

MITAuto-check passedFrontend & Design

Install Anima

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill anima -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills anima --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/anima-design-agent .claude/skills/anima && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
anima
GitHub stars
2.2k
Token cost
~4.3k tokens
SKILL.md length
1,783 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Generate 3 prompt variants from the… → Launch all 3 playground-create calls in… → As each one completes, immediately call… → …
  • The user provides Figma URLs
  • SKILL.md covers Overview, Prerequisites, Important: Timeouts and Setup, plus 6 more sections
  • Calls npx; reaches figma.com and stripe.com

What it does

Anima is an agent skill from LeoYeAI/openclaw-master-skills. 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…

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`). Compatibility notes: Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMAAPIKEY.

It sits in Frontend & Design, covering Design to code. It works with Figma. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user provides Figma URLs
  • Anima Playground URLs
  • Prototype something
  • Wants to publish

Example prompts

  • “Use the anima skill to turn ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting”
  • “/anima”

Requirements

  • Node.js
  • A credential in ANIMA_API_KEY
  • Compatibility (from SKILL.md): Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMA_API_KEY.

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Generate 3 prompt variants from the user's idea. Each takes a different creative angle
  2. Launch all 3 playground-create calls in parallel (one per variant, type p2c)
  3. As each one completes, immediately call playground-publish (mode webapp)
  4. Return all 3 live URLs so the user can pick a favorite or ask for refinements. Optionally, if you have a screenshot tool available…

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • figma.com
    • stripe.com
    • dev.animaapp.com

    Also links to:

    • github.com
    • docs.animaapp.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMA_API_KEY.

    From compatibility in the SKILL.md frontmatter.

Context cost

Anima loads about 4.3k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 1,783 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~159
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,783 words, ~4,296 tokens.

Download SKILL.mdSave it as .claude/skills/anima/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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.
compatibility
Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMA_API_KEY.
mcpServers
anima
homepage
https://github.com/AnimaApp/mcp-server-guide
metadata.author
animaapp
metadata.version
1.1.0

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 for authentication setup.

If the Anima MCP server is connected, MCP tools can also be used. See the MCP setup guide 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 saysLikely pathWhy
"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" + URLPath 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 BWants 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 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.

Bad (over-specified):

Create a dashboard. Use #1a1a2e background, #16213e sidebar at 280px width,
#0f3460 cards with 16px padding, border-radius 12px. Header height 64px with
a flex row, justify-between. Font: Inter 14px for body, 24px bold for headings.

Good (descriptive):

SaaS analytics dashboard for a B2B product team. Clean, minimal feel.
Sidebar navigation, KPI cards for key metrics, a usage trend chart, and a
recent activity feed. Professional but approachable. Think Linear meets Stripe.

Path A: Create & Publish

Step A1: Identify the Flow

Determine which flow to use based on what the user provides and what they want.

User has a text description or idea → p2c

The most flexible path. Anima designs everything from your description. Best for new apps, prototypes, and creative exploration.

User has a website URL → l2c

Use l2c to clone the site. Anima recreates the full site into an editable playground.

User has a Figma URL → f2c (Path A) or codegen (Path B)

Two sub-cases:

  • "Turn this into a live app" or "Make this a working site" → f2c (Path A). Creates a full playground from the Figma design
  • "Implement this in my project" or "Add this component to my codebase" → codegen (Path B). Generates code files for integration

Quick reference:

User providesIntentFlowTool
Text descriptionBuild something newp2cplayground-create type="p2c"
Website URLClone itl2cplayground-create type="l2c"
Figma URLMake it a live appf2cplayground-create type="f2c"
Figma URLImplement in my projectcodegencodegen-figma_to_code (Path B)
Step A2: Create
Prompt to Code (p2c)

Describe what you want in plain language. Anima designs and generates a complete playground with brand-aware visuals.

CLI:

bash
anima create -t p2c -p "SaaS analytics dashboard for a B2B product team. Clean, minimal feel. Sidebar navigation, KPI cards for key metrics, a usage trend chart, and a recent activity feed. Professional but approachable." --guidelines "Dark mode, accessible contrast ratios"

MCP:

playground-create(
  type: "p2c",
  prompt: "SaaS analytics dashboard for a B2B product team. Clean, minimal feel. Sidebar navigation, KPI cards for key metrics, a usage trend chart, and a recent activity feed. Professional but approachable.",
  framework: "react",
  styling: "tailwind",
  guidelines: "Dark mode, accessible contrast ratios"
)

Only -t and -p are required. Defaults: --framework react, --styling tailwind, --language typescript.

Parameters specific to p2c:

ParameterRequiredDescription
promptYesText description of what to build
guidelinesNoAdditional coding guidelines or constraints

Styling options: tailwind, css, inline_styles

Show full SKILL.md (693 more words)Show less

Provide a website URL. Anima recreates it as an editable playground with production-ready code.

CLI:

bash
anima create -t l2c -u https://stripe.com/payments --ui-library shadcn

MCP:

playground-create(
  type: "l2c",
  url: "https://stripe.com/payments",
  framework: "react",
  styling: "tailwind",
  language: "typescript",
  uiLibrary: "shadcn"
)

Only -t and -u are required. Defaults: --framework react, --styling tailwind, --language typescript.

Parameters specific to l2c:

ParameterRequiredDescription
urlYesWebsite URL to clone

Styling options: tailwind, inline_styles

UI Library options: shadcn only

Language: Always typescript for l2c

Figma to Playground (f2c)

Provide a Figma URL. Anima implements the design into a full playground you can preview and iterate on.

URL format: https://figma.com/design/:fileKey/:fileName?node-id=1-2

Extract:

  • File key: The segment after /design/ (e.g., kL9xQn2VwM8pYrTb4ZcHjF)
  • Node ID: The node-id query parameter value, replacing - with : (e.g., 42-15 becomes 42:15)

CLI (accepts full Figma URL — extracts file key and node IDs automatically):

bash
anima create -t f2c --file-key "https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/My-File?node-id=42-15" --ui-library shadcn

MCP:

playground-create(
  type: "f2c",
  fileKey: "kL9xQn2VwM8pYrTb4ZcHjF",
  nodesId: ["42:15"],
  framework: "react",
  styling: "tailwind",
  language: "typescript",
  uiLibrary: "shadcn"
)

Only -t and --file-key are required. The CLI parses Figma URLs and normalizes node IDs automatically. Defaults: --framework react, --styling tailwind, --language typescript.

Parameters specific to f2c:

ParameterRequiredDescription
fileKeyYesFigma file key from URL
nodesIdYesArray of Figma node IDs (use : not -)

Styling options: tailwind, plain_css, css_modules, inline_styles

UI Library options: mui, antd, shadcn, clean_react

Step A3: Publish

After creating a playground, deploy it to a live URL.

CLI:

bash
anima publish abc123xyz

MCP:

playground-publish(
  sessionId: "abc123xyz",
  mode: "webapp"
)

The response includes the live URL for the published app.

Explore Mode: Parallel Variants

This is Path A's secret weapon. When a user says "build me X" or "prototype X", generate multiple interpretations in parallel, publish all of them, and return live URLs for comparison.

Workflow:

  1. Generate 3 prompt variants from the user's idea. Each takes a different creative angle:

    • Variant 1: Faithful, straightforward interpretation
    • Variant 2: A more creative or opinionated take
    • Variant 3: A different visual style or layout approach
  2. Launch all 3 playground-create calls in parallel (one per variant, type p2c)

  3. As each one completes, immediately call playground-publish (mode webapp)

  4. Return all 3 live URLs so the user can pick a favorite or ask for refinements. Optionally, if you have a screenshot tool available, capture each page to show in the chat.

Timing: All 3 variants generate in parallel, so total wall time is roughly the same as one (~5-7 minutes creation + 1-3 minutes publishing). Expect results within ~10 minutes.

Tips for good variant prompts:

  • Keep the core idea identical across all three
  • Vary the visual approach: e.g., "minimal and clean", "bold and colorful", "enterprise and professional"
  • Add specific guidelines to each variant to differentiate them
  • If the user mentioned a reference site or style, incorporate it into one variant
  • Follow the prompt crafting principles above: describe mood and purpose, not implementation details

Path B: Integrate into Codebase

Step B1: Identify the Flow
User providesFlowTool
Figma URL + wants code in their projectFigma to Codecodegen-figma_to_code
Anima Playground URL + wants code locallyDownloadproject-download_from_playground
Step B2: Match Project Stack to Tool Parameters
Project stackParameterValue
Reactframework"react"
No Reactframework"html"
Tailwindstyling"tailwind"
CSS Modulesstyling"css_modules"
Plain CSSstyling"plain_css"
TypeScriptlanguage"typescript"
MUIuiLibrary"mui"
Ant DesignuiLibrary"antd"
shadcnuiLibrary"shadcn"
Step B3: Generate Code
Figma to Code (direct implementation)

CLI (writes files directly to disk):

bash
anima codegen --file-key "https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/My-File?node-id=42-15" -o ./components --ui-library shadcn

MCP:

codegen-figma_to_code(
  fileKey: "kL9xQn2VwM8pYrTb4ZcHjF",
  nodesId: ["42:15"],
  framework: "react",
  styling: "tailwind",
  language: "typescript",
  uiLibrary: "shadcn",
  assetsBaseUrl: "./assets"
)

CLI (writes files directly to disk):

bash
anima codegen --file-key "https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/My-File?node-id=42-15" -o ./components --ui-library shadcn

Only --file-key is required. Defaults: --framework react, --styling tailwind, --language typescript, -o ./anima-codegen-output.

Use the response fields (snapshots, assets, guidelines) as design reference when implementing.

Download Playground to Local Files

CLI:

bash
anima download https://dev.animaapp.com/chat/abc123xyz -o ./my-project

MCP:

project-download_from_playground(sessionId: "abc123xyz")

The CLI accepts playground URLs directly and extracts the session ID automatically.


CLI & MCP Quick Reference

ActionCLI CommandMCP Tool
Prompt to Codeanima create -t p2c -p "..."playground-create type="p2c"
Link to Codeanima create -t l2c -u <url>playground-create type="l2c"
Figma to Playgroundanima create -t f2c --file-key <key>playground-create type="f2c"
Publishanima publish <sessionId>playground-publish
Figma to Codeanima codegen --file-key <key> -o ./outcodegen-figma_to_code
Downloadanima download <url> -o ./outproject-download_from_playground

When to use CLI vs MCP:

  • CLI: Preferred — lightweight, no MCP setup needed, works in headless environments
  • MCP: Alternative when Anima MCP server is already connected

CLI defaults (all optional): --framework react, --styling tailwind, --language typescript (when react). Only the type flag and the type-specific input (prompt, url, or file-key) are required.


Additional References

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/anima-design-agent of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Anima next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Anima compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Anima this skillLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Anima Install Authjeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Anima SDK Patternsjeremylongshore/tons-of-skills-marketplace2.8k—~2.5kAutomated safety check: PassMIT
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Figma Design to Codewarpdotdev/warp65k4 repos~2.9kAutomated safety check: PassAGPL-3.0
Figma Design System Rules Generatorwarpdotdev/warp65k3 repos~4.6kAutomated safety check: PassAGPL-3.0

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Works with

Questions about Anima

What does Anima do?

Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting. Anima is an agent skill from LeoYeAI/openclaw-master-skills. Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting.

When should I use Anima?

Anima fits situations like: the user provides Figma URLs; anima Playground URLs; prototype something; wants to publish.

How do I install Anima in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill anima -a claude-code`. Or copy the skill folder (skills/anima-design-agent in LeoYeAI/openclaw-master-skills) into .claude/skills/anima in your project. Claude Code loads it when a task matches its description.

How do I install Anima in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill anima -a codex`. Or copy the skill folder (skills/anima-design-agent in LeoYeAI/openclaw-master-skills) into .agents/skills/anima in your project. Codex loads it when a task matches its description.

Can I use Anima in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill anima -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anima, .gemini/skills/anima, .github/skills/anima and .opencode/skills/anima in your project.

What does Anima need to run?

Going by SKILL.md and its folder, Anima needs the command-line tools its instructions call (npx). Our summary lists: Node.js; A credential in ANIMA_API_KEY. Compatibility (from SKILL.md): Works via MCP server (HTTP transport) or Anima CLI. For headless environments, requires an ANIMA_API_KEY..

Does Anima access the network?

SKILL.md names 5 domains. In commands or code: figma.com, stripe.com and dev.animaapp.com; the agent is likely to contact these when it follows the instructions. As links in the text: github.com and docs.animaapp.com. This is read from the text; nothing was executed.

Is Anima safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Anima use?

Anima is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Anima use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Anima?

Skills that share tags, products or a category with Anima: Anima Install Auth (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Anima SDK Patterns (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars) and Figma Design to Code (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Anima?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.