Installable skillMIT

Anima Deploy Integration

Deploy Anima design-to-code service as a backend API endpoint.

BY jeremylongshoreUPDATED Oct 27, 2026
INTENDED FOR✳Claude CodeInstall in a listed agent.

instructions.md

---
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:*)
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
compatibility: Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access
---
# Anima Deploy Integration

## Overview

Deploy the Anima SDK as a backend service. The SDK is server-side only, so deploy it behind an API endpoint that accepts Figma file/node references and returns generated code.

## Prerequisites

- A private or authenticated service boundary with an allowlisted design-file
  registry; do not expose arbitrary `fileKey` and `nodesId` generation to the
  public internet.
- Managed Anima and Figma secrets, separate staging/production credentials,
  request limits, and an audit trail that excludes token values and design
  content.
- An approved generated-output path, validation pipeline, and rollback target
  for every deployment revision.

## Instructions

### Step 1: Express API Wrapper

```typescript
// 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'));
```

### Step 2: Vercel Serverless Function

```typescript
// 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 });
}
```

### Step 3: Deploy Commands

```bash
# 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
```

## Tool Discipline

Use Read and Grep to inspect the existing integration and generated diff before changing anything. Use Write or Edit only inside the approved generated-code, test, or configuration paths. Use the declared Bash commands only for the explicit install, validation, or diagnostic steps in this workflow; never print tokens, source designs, generated source, or private website captures.

## Output

- Express API wrapping Anima SDK for internal design tooling
- Vercel serverless function for lightweight deployment
- Cloud Run deployment with Secret Manager

## Examples

Deploy the service to a staging environment behind the organization’s existing
identity proxy and invoke `/api/generate` with one allowlisted file/node pair.
Verify the request is authorized, output remains in the approved generated-code
location, logs contain only request metadata, and generated files pass the
downstream formatter and test gate before a human reviews them. If an unauthenticated
caller, unknown node, or secret-binding error reaches the service, reject the
request, alert the operator, and keep the prior revision active rather than
opening broad access or embedding credentials in the client.

## Error Handling

| Failure | Response |
|---------|----------|
| Caller is not authenticated or file/node is not allowlisted | Reject before contacting Anima or Figma. |
| Managed secret is unavailable | Fail closed and repair the deployment binding; never use a plaintext fallback. |
| Generation or validation fails | Return a sanitized failure, preserve the prior revision, and quarantine the output. |
| Rate limit or repeated bad requests occur | Apply bounded throttling and alert the owning service team. |

## Resources

- [Anima API](https://docs.animaapp.com/docs/anima-api)
- [Anima SDK Example Server](https://github.com/AnimaApp/anima-sdk)
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.