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Anima

作者 Danny Shmueli · GitHub ↗ · v1.2.0 · MIT-0
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在 OpenClaw 中安装
/install anima-design-agent
功能描述
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...
使用说明 (SKILL.md)

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 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 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 provides Intent Flow Tool
Text description Build something new p2c playground-create type="p2c"
Website URL Clone it l2c playground-create type="l2c"
Figma URL Make it a live app f2c playground-create type="f2c"
Figma URL Implement in my project codegen codegen-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:

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:

Parameter Required Description
prompt Yes Text description of what to build
guidelines No Additional coding guidelines or constraints

Styling options: tailwind, css, inline_styles

Link to Code (l2c)

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

CLI:

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:

Parameter Required Description
url Yes Website 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):

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:

Parameter Required Description
fileKey Yes Figma file key from URL
nodesId Yes Array 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:

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 provides Flow Tool
Figma URL + wants code in their project Figma to Code codegen-figma_to_code
Anima Playground URL + wants code locally Download project-download_from_playground

Step B2: Match Project Stack to Tool Parameters

Project stack Parameter Value
React framework "react"
No React framework "html"
Tailwind styling "tailwind"
CSS Modules styling "css_modules"
Plain CSS styling "plain_css"
TypeScript language "typescript"
MUI uiLibrary "mui"
Ant Design uiLibrary "antd"
shadcn uiLibrary "shadcn"

Step B3: Generate Code

Figma to Code (direct implementation)

CLI (writes files directly to disk):

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):

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:

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

Action CLI Command MCP Tool
Prompt to Code anima create -t p2c -p "..." playground-create type="p2c"
Link to Code anima create -t l2c -u \x3Curl> playground-create type="l2c"
Figma to Playground anima create -t f2c --file-key \x3Ckey> playground-create type="f2c"
Publish anima publish \x3CsessionId> playground-publish
Figma to Code anima codegen --file-key \x3Ckey> -o ./out codegen-figma_to_code
Download anima download \x3Curl> -o ./out project-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

安全使用建议
This skill appears to do what it says: it will call Anima services to generate or publish apps and needs your ANIMA_API_KEY to operate. Before installing/using it: (1) ensure you trust Anima and the linked homepage; the agent will upload prompts, Figma links, website clone targets, and generated code to Anima servers; (2) treat ANIMA_API_KEY like a secret — limit its scope and rotate it if possible; (3) be aware the SKILL.md recommends using `npx @animaapp/cli`, which downloads and runs code at runtime — review the CLI package/source if you need higher assurance; (4) verify billing, data retention, and IP/privacy policies on Anima for design and code you don’t want sent to a third party; (5) always review generated code before deploying or publishing. If you need tighter controls, ask for a version that runs fully locally or that documents CLI code provenance and token scopes.
功能分析
Type: OpenClaw Skill Name: anima-design-agent Version: 1.2.0 The skill bundle provides legitimate instructions and tool definitions for integrating the Anima design-to-code platform into an AI agent's workflow. It outlines two paths for generating web applications from prompts, website URLs, or Figma designs using the Anima CLI (@animaapp/cli) and MCP tools. The instructions are well-documented, align with the stated purpose, and contain no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name/description (design → code → hosting) align with requested artifacts: the skill requires only ANIMA_API_KEY and mentions the Anima MCP server or Anima CLI. Asking for an API key is expected for a hosted design/code generation service.
Instruction Scope
SKILL.md tells the agent to create/playground/publish apps, accept Figma and website URLs, and use the Anima MCP server or CLI — all within the scope of generating and hosting apps. Important privacy/IPC note: these flows involve sending Figma URLs, cloned website content, prompts, and potentially user-provided assets to Anima's servers; the guide explicitly instructs use of external services and long timeouts. The skill does not instruct reading unrelated files or arbitrary local secrets.
Install Mechanism
No formal install spec (instruction-only), which minimizes upfront disk writes. However SKILL.md recommends invoking the Anima CLI via npx (@animaapp/cli). Running npx will fetch and execute a package at runtime (dynamic code download). That behavior is expected for a CLI-driven workflow but is worth noting because it executes remote code during use.
Credentials
Only ANIMA_API_KEY is declared and used as the primary credential, which is proportionate for a hosted Anima service. No unrelated credentials or config paths are requested. The guide references a Figma account but does not require additional environment secrets.
Persistence & Privilege
Skill is instruction-only, always:false, and does not request persistent system-level privileges or modify other skills. Autonomous model invocation is allowed (platform default) but not combined with other concerning privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install anima-design-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /anima-design-agent 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.0
CLI-first: swap CLI before MCP in all examples, remove design system publish, rename API token to API key, minimize npx references.
v1.1.3
Rename ANIMA_API_TOKEN to ANIMA_API_KEY to match Anima settings UI.
v1.1.2
Remove CLI install/auth instructions that triggered security scan. CLI examples remain, setup deferred to CLI docs.
v1.1.1
Use 'API key' instead of 'API token' in user-facing language to match Anima settings UI.
v1.1.0
Replace npx references with anima CLI command. Add install step.
v1.0.9
Reduce bundle to single file. Remove capability descriptions, returns tables, and explicit URLs.
v1.0.8
Remove all shell commands from setup. Conceptual descriptions only.
v1.0.7
Soften l2c language, trim mcp-tools to core tools only, remove download language.
v1.0.6
Remove explicit file-read instructions, soften download language.
v1.0.5
Minor copy tweak
v1.0.4
Remove third-party screenshot API references. Screenshot is optional, kept as a hint.
v1.0.3
Reword guidelines field to avoid prompt injection flag. Guidelines are design context, not executable instructions.
v1.0.2
Remove shell commands to reduce security footprint. Strip mcporter bash blocks, remove shell injection troubleshooting.
v1.0.1
Add MCP health check, shell quoting guide, tool-agnostic screenshots, fix p2c example
v1.0.0
Initial release: Anima design agent skill — turn ideas into live apps via prompt, URL clone, or Figma design
元数据
Slug anima-design-agent
版本 1.2.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 15
常见问题

Anima 是什么?

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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1153 次。

如何安装 Anima?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install anima-design-agent」即可一键安装,无需额外配置。

Anima 是免费的吗?

是的,Anima 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Anima 支持哪些平台?

Anima 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Anima?

由 Danny Shmueli(@dannyshmueli)开发并维护,当前版本 v1.2.0。

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