From adobe-pack
Generates minimal TypeScript/Node.js examples for Adobe APIs: Firefly image generation, PDF extraction, and Photoshop background removal. Ideal for new integrations, setup testing, or basic API learning.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin adobe-packThis skill is limited to using the following tools:
Three minimal working examples covering Adobe's core API surfaces: Firefly AI image generation, PDF content extraction, and Photoshop background removal.
Executes Adobe Firefly v3 API for text-to-image generation, generative fill, and image expansion. For AI-driven image creation in creative pipelines.
Generates images from prompts and edits reference images via CLI using OpenAI gpt-image-2 or Codex. Outputs JSON results and progress events for agent parsing, with transparent PNGs, masks, up to 4K sizes.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Share bugs, ideas, or general feedback.
Three minimal working examples covering Adobe's core API surfaces: Firefly AI image generation, PDF content extraction, and Photoshop background removal.
adobe-install-auth setup@adobe/firefly-apis or @adobe/pdfservices-node-sdk installed// hello-firefly.ts
import 'dotenv/config';
import { getAdobeAccessToken } from './adobe/auth';
async function generateImage() {
const token = await getAdobeAccessToken();
const response = await fetch(
'https://firefly-api.adobe.io/v3/images/generate',
{
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'x-api-key': process.env.ADOBE_CLIENT_ID!,
'Content-Type': 'application/json',
},
body: JSON.stringify({
prompt: 'A futuristic cityscape at sunset with flying cars',
n: 1, // number of images
size: {
width: 1024,
height: 1024,
},
contentClass: 'art', // "art" or "photo"
}),
}
);
if (!response.ok) {
throw new Error(`Firefly API error: ${response.status} ${await response.text()}`);
}
const result = await response.json();
console.log('Generated image URL:', result.outputs[0].image.url);
return result;
}
generateImage().catch(console.error);
// hello-pdf.ts
import {
ServicePrincipalCredentials,
PDFServices,
MimeType,
ExtractPDFParams,
ExtractElementType,
ExtractPDFJob,
ExtractPDFResult,
} from '@adobe/pdfservices-node-sdk';
import * as fs from 'fs';
async function extractPDF() {
const credentials = new ServicePrincipalCredentials({
clientId: process.env.ADOBE_CLIENT_ID!,
clientSecret: process.env.ADOBE_CLIENT_SECRET!,
});
const pdfServices = new PDFServices({ credentials });
// Upload the PDF
const inputStream = fs.createReadStream('./sample.pdf');
const inputAsset = await pdfServices.upload({
readStream: inputStream,
mimeType: MimeType.PDF,
});
// Configure extraction (text + tables)
const params = new ExtractPDFParams({
elementsToExtract: [ExtractElementType.TEXT, ExtractElementType.TABLES],
});
// Run extraction job
const job = new ExtractPDFJob({ inputAsset, params });
const pollingURL = await pdfServices.submit({ job });
const result = await pdfServices.getJobResult({
pollingURL,
resultType: ExtractPDFResult,
});
// Download result ZIP containing structuredData.json
const resultAsset = result.result!.resource;
const streamAsset = await pdfServices.getContent({ asset: resultAsset });
const outputStream = fs.createWriteStream('./extracted-output.zip');
streamAsset.readStream.pipe(outputStream);
console.log('Extraction complete: ./extracted-output.zip');
}
extractPDF().catch(console.error);
// hello-photoshop.ts
import 'dotenv/config';
import { getAdobeAccessToken } from './adobe/auth';
async function removeBackground() {
const token = await getAdobeAccessToken();
// Input/output must be pre-signed URLs (S3, Azure Blob, Dropbox)
const response = await fetch(
'https://image.adobe.io/sensei/cutout',
{
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'x-api-key': process.env.ADOBE_CLIENT_ID!,
'Content-Type': 'application/json',
},
body: JSON.stringify({
input: {
href: 'https://your-bucket.s3.amazonaws.com/input-photo.jpg',
storage: 'external',
},
output: {
href: 'https://your-bucket.s3.amazonaws.com/output-cutout.png',
storage: 'external',
type: 'image/png',
},
}),
}
);
const result = await response.json();
console.log('Job status URL:', result._links.self.href);
// Poll for completion
let status = result;
while (status.status !== 'succeeded' && status.status !== 'failed') {
await new Promise(r => setTimeout(r, 2000));
const poll = await fetch(status._links.self.href, {
headers: {
'Authorization': `Bearer ${token}`,
'x-api-key': process.env.ADOBE_CLIENT_ID!,
},
});
status = await poll.json();
}
console.log('Background removal:', status.status);
}
removeBackground().catch(console.error);
| Error | Cause | Solution |
|---|---|---|
403 Forbidden | Missing API entitlement | Enable the API in Developer Console project |
400 Bad Request on Firefly | Invalid prompt or parameters | Check content policy; prompts cannot request trademarks or people |
invalid_content_type on PDF | Wrong MimeType | Ensure input is actually a PDF, not a renamed file |
InputValidationError on Photoshop | Invalid storage URL | Use pre-signed URLs with read/write permissions |
429 Too Many Requests | Rate limit exceeded | Implement backoff; see adobe-rate-limits |
Proceed to adobe-local-dev-loop for development workflow setup.