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Agent Skill · 开发

anima(anima 音频)

anima 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

anima 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 19,470。

总安装 269周安装 11GitHub Stars 5下载 86核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:anima(anima 音频)
来源仓库:https://github.com/animaapp/mcp-server-guide
仓库路径:skills/anima
安装命令:
npx skills add https://github.com/animaapp/mcp-server-guide --skill anima
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/animaapp/mcp-server-guide --skill anima

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

anima 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。适用于需要自动化管理开源项目流程、跟踪代码提交或分析开发团队协作模式的场景。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认是否涉及网络访问、文件读写或外部命令执行权限。建议在使用前核实仓库维护状态、权限边界及是否会触发敏感操作,避免影响本地环境或数据隐私。anima 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/anima

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/animaapp/mcp-server-guide --skill anima;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

anima 怎么安装?

在终端执行 npx skills add https://github.com/animaapp/mcp-server-guide --skill anima。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

anima 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

anima 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

anima 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

anima 用的人多吗?

公开数据是累计安装 269 次,近一周安装 11 次,下载 86 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

anima 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
anima

anima 音频 · 本页

2695调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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:

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

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:

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):

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:

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

  1. Launch all 3 playground-create calls in parallel (one per variant, type p2c)
  2. As each one completes, immediately call playground-publish (mode webapp)
  3. 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):

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

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

平台分布

Codex

38.61%
按下载量换算33

Claude

28.93%
按下载量换算25

Cursor

17.13%
按下载量换算15

Gemini CLI

10.35%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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