Anima Core Workflow A — Figma-to-React Pipeline

Overview

Build a review-driven Figma-to-React pipeline. Detect an approved source revision, generate only allowlisted nodes, contain the output, and open a review change; never turn a Figma change directly into merged or deployed application code.

Prerequisites

• Completed anima-install-auth setup
• Figma file with organized components (auto-layout recommended)
• React project (Next.js, Vite, or CRA)

Authentication

Create the Anima client only on the backend with ANIMA_TOKEN; pass a managed FIGMA_TOKEN for the allowlisted file to generateCode. Stop on either token's 401/403 result and correct access without widening the source allowlist.

Instructions

Step 1: Design System Scanner

// src/pipeline/figma-scanner.ts
import { Anima } from '@animaapp/anima-sdk';

interface FigmaComponent {
  nodeId: string;
  name: string;
  type: 'COMPONENT' | 'FRAME' | 'COMPONENT_SET';
}

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

// Fetch all top-level components from a Figma page
async function scanFigmaComponents(fileKey: string) {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/components`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  const data = await response.json();

  return data.meta.components.map((comp: any) => ({
    nodeId: comp.node_id,
    name: comp.name,
    type: comp.containing_frame?.type || 'COMPONENT',
  }));
}

Step 2: Batch Code Generator

// src/pipeline/batch-generator.ts
import { Anima } from '@animaapp/anima-sdk';
import fs from 'fs';
import path from 'path';

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

interface GenerationConfig {
  fileKey: string;
  outputDir: string;
  settings: {
    language: 'typescript' | 'javascript';
    framework: 'react' | 'html';
    styling: 'plain_css' | 'tailwind' | 'inline_styles';
    uiLibrary?: 'mui' | 'antd' | 'radix' | 'shadcn' | 'clean_react' | 'custom_design_system';
  };
}

async function generateComponentBatch(
  config: GenerationConfig,
  nodeIds: string[],
): Promise<{ generated: number; failed: string[] }> {
  const failed: string[] = [];
  let generated = 0;

  fs.mkdirSync(config.outputDir, { recursive: true });

  // Generate each component (Anima processes one node at a time)
  for (const nodeId of nodeIds) {
    try {
      const { files } = await anima.generateCode({
        fileKey: config.fileKey,
        figmaToken: process.env.FIGMA_TOKEN!,
        nodesId: [nodeId],
        settings: config.settings,
      });

      for (const [fileName, file] of Object.entries(files)) {
        const root = path.resolve(config.outputDir);
        const filePath = path.resolve(root, fileName);
        if (!filePath.startsWith(`${root}${path.sep}`) || file.isBinary) {
          throw new Error(`Rejected generated file: ${fileName}`);
        }
        fs.mkdirSync(path.dirname(filePath), { recursive: true });
        fs.writeFileSync(filePath, file.content);
        console.log(`Generated: ${fileName}`);
      }
      generated++;
    } catch {
      console.error({ failureClass: 'node-generation-failed', nodeId });
      failed.push(nodeId);
    }

    // Concurrency and retry policy belong to the measured rate-limit workflow.
  }

  return { generated, failed };
}

export { generateComponentBatch, GenerationConfig };

Step 3: Figma Change Detection

// src/pipeline/change-detector.ts
interface FileVersion {
  id: string;
  created_at: string;
  label: string;
}

async function getLatestVersion(fileKey: string) {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/versions`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  const data = await response.json();
  return data.versions[0];
}

// Check if file changed since last generation
let lastVersionId = '';

async function hasDesignChanged(fileKey: string) {
  const latest = await getLatestVersion(fileKey);
  if (latest.id !== lastVersionId) {
    lastVersionId = latest.id;
    return true;
  }
  return false;
}

export { hasDesignChanged, getLatestVersion };

Step 4: Full Pipeline Runner

// src/pipeline/run.ts
import { scanFigmaComponents } from './figma-scanner';
import { generateComponentBatch, GenerationConfig } from './batch-generator';
import { hasDesignChanged } from './change-detector';

const config: GenerationConfig = {
  fileKey: process.env.FIGMA_FILE_KEY!,
  outputDir: './src/components/generated',
  settings: {
    language: 'typescript',
    framework: 'react',
    styling: 'tailwind',
    uiLibrary: 'shadcn',
  },
};

async function runPipeline() {
  console.log('Scanning Figma file for components...');
  const components = await scanFigmaComponents(config.fileKey);
  console.log(`Found ${components.length} components`);

  console.log('Generating code...');
  const result = await generateComponentBatch(
    config,
    components.map(c => c.nodeId)
  );

  console.log(`\nPipeline complete: ${result.generated} generated, ${result.failed.length} failed`);
}

runPipeline().catch(() => {
  console.error({ failureClass: 'figma-pipeline-failed' });
  process.exitCode = 1;
});

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

• Automated Figma component scanning and enumeration
• Batch code generation for entire design systems
• Change detection for continuous design-to-code sync
• A durable source-revision receipt suitable for a PR review gate

Examples

Create a staging Figma file with two approved components and configure the pipeline to write only to src/components/generated. Run one generation cycle, inspect the resulting diff, and run the project formatter, type check, and visual review before accepting either component. Persist the last approved Figma version outside the process so a restart does not regenerate an unknown set of nodes. If the scanner returns unexpected components, a generator writes outside the output directory, or validation fails, stop the watch loop and correct the node allowlist or design source before the next run.

Error Handling

Resources

• Anima API
• Figma API Components
• Anima Blog