Anima Deploy Integration

What it does

When your agent uses it

• Building a design-to-code microservice
• Deploying Anima SDK as a serverless function
• Creating an internal design tool API
• With: deploy anima

Example prompts

• “deploy anima”
• “anima service deploy”
• “anima serverless”
• “/anima-deploy-integration”

Requirements

• Node.js
• Docker
• A credential in ANIMA_TOKEN
• A credential in FIGMA_TOKEN
• Compatibility (from SKILL.md): Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(vercel:*), Bash(gcloud:*), Bash(docker:*)

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1Express API Wrapper
2. 2Vercel Serverless Function
3. 3Deploy Commands

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(vercel:*)
  • Bash(gcloud:*)
  • Bash(docker:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • vercel
  • gcloud

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

• Network

  Links to these hosts (documentation or services it may open):

  • docs.animaapp.com
  • github.com

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

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • ANIMA_TOKEN
  • FIGMA_TOKEN

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

• Compatibility

  Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access

  From compatibility in the SKILL.md frontmatter.

Context cost

Anima Deploy Integration loads about 1.3k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 349 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~74

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~1.5k

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

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 349 words, ~1,323 tokens.

name

anima-deploy-integration

description

Deploy Anima design-to-code service as a backend API endpoint. Use when building a design-to-code microservice, deploying Anima SDK as a serverless function, or creating an internal design tool API. Trigger with: "deploy anima", "anima service deploy", "anima serverless".

allowed-tools

Read, Write, Edit, Bash(vercel:*), Bash(gcloud:*), Bash(docker:*)

compatibility

Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access

version

2.0.0

argument-hint

[deployment-target]

model

inherit

effort

high

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, design, figma, anima, deployment

// src/server.ts
import express from 'express';
import { Anima } from '@animaapp/anima-sdk';

const app = express();
app.use(express.json());

const anima = new Anima({ auth: { token: process.env.ANIMA_TOKEN! } });

app.post('/api/generate', async (req, res) => {
  const { fileKey, nodesId, settings } = req.body;

  if (!fileKey || !nodesId?.length) {
    return res.status(400).json({ error: 'fileKey and nodesId required' });
  }

  try {
    const { files } = await anima.generateCode({
      fileKey,
      figmaToken: process.env.FIGMA_TOKEN!,
      nodesId,
      settings: settings || { language: 'typescript', framework: 'react', styling: 'tailwind' },
    });
    res.json({ files, count: Object.keys(files).length });
  } catch (err: any) {
    res.status(502).json({ error: 'Generation failed', requestId: req.id });
  }
});

app.get('/health', (_req, res) => res.json({ status: 'ok' }));
app.listen(3000, () => console.log('Anima service on :3000'));

// api/generate.ts
import { Anima } from '@animaapp/anima-sdk';

const anima = new Anima({ auth: { token: process.env.ANIMA_TOKEN! } });

export default async function handler(req: any, res: any) {
  if (req.method !== 'POST') return res.status(405).end();

  const { fileKey, nodesId, settings } = req.body;
  const { files } = await anima.generateCode({
    fileKey, figmaToken: process.env.FIGMA_TOKEN!, nodesId,
    settings: settings || { language: 'typescript', framework: 'react', styling: 'tailwind' },
  });
  res.json({ files });
}

# Vercel
vercel secrets add anima_token "$ANIMA_TOKEN"
vercel secrets add figma_token "$FIGMA_TOKEN"
vercel --prod

# Cloud Run
gcloud run deploy anima-service \
  --source . \
  --set-secrets=ANIMA_TOKEN=anima-token:latest,FIGMA_TOKEN=figma-token:latest \
  --region us-central1 --no-allow-unauthenticated

© jeremylongshore, 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 (references) in skills/.curated/anima-deploy-integration of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/official-docs.md

Open the folder on GitHubat commit cfae287