anima-deploy-integration
'Deploy Anima design-to-code service as a backend API endpoint.
Install / Use
npx skills add jeremylongshore/tons-of-skills-marketplace --skill anima-deploy-integrationInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Our assessment of anima-deploy-integration
anima-deploy-integration scores 85/100 on our quality scale, 388th of 548 Operations skills we index.
Its SKILL.md is 5.2 KB long, well organised into 14 sections with 3 code examples: a solid amount of guidance for an agent.
With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so anima-deploy-integration is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
anima-deploy-integration compared with similar skills
All 4 of these similar skills score higher than anima-deploy-integration; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| anima-deploy-integration (this skill)by jeremylongshore | 85 | 2.8k | 6d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.3k | 14d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 84.6k | today | MCP Server |
| crawl4aiby unclecode | 100 | 84.5k | 5d ago | MCP Server |
Frequently asked questions
- How do I install anima-deploy-integration?
- Run
npx skills add jeremylongshore/tons-of-skills-marketplace --skill anima-deploy-integration. The install tabs above show the steps for each supported agent. - Which AI agents does anima-deploy-integration work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is anima-deploy-integration safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is anima-deploy-integration still maintained?
- The repository was last updated 6 days ago, so anima-deploy-integration is actively maintained.
Skill content
View source on GitHubname: 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
fileKeyandnodesIdgeneration 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
// 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
// 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
# 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=ANIM…[redacted]: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
Related Skills
Agent-Reach
86.3kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
74.1kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Scrapling
84.6k🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
crawl4ai
84.5kOpen-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
