Adobe Multi-Environment Setup

SkillFiles & storage

Lets your agent set up Adobe OAuth credentials and API access across environments.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Adobe Multi-Environment Setup skill

About this capability

Separate Adobe development, stage, and production organizations/projects/workspaces, credentials, profiles, storage, events, budgets, and evidence. Use when the task requires adobe multi-environment isolation. Trigger with "Adobe environments", "separate Adobe staging", or "Adobe workspace setup".

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/adobe-multi-env-setup/SKILL.md and read by ahel’s review.

Overview

Configure Adobe APIs across development, staging, and production environments using separate Developer Console projects, environment-specific OAuth credentials, and cloud-native secret management.

Prerequisites

  • Adobe Developer Console access (admin or developer role)
  • Secret management solution (GCP Secret Manager, AWS Secrets Manager, or Vault)
  • CI/CD pipeline with environment variable injection

Instructions

Step 1: Create Separate Developer Console Projects

Adobe best practice: one Developer Console project per environment with separate OAuth credentials.

EnvironmentConsole ProjectScopesProduct Profile
Developmentmy-app-devopenid,AdobeIDDev sandbox
Stagingmy-app-stagingopenid,AdobeID,firefly_apiStaging profile
Productionmy-app-prodopenid,AdobeID,firefly_api,ff_apisProduction profile

Step 2: Environment Configuration Files

// src/config/adobe.ts
interface AdobeEnvConfig {
  imsEndpoint: string;       // Same across all envs
  fireflyEndpoint: string;   // Same across all envs
  photoshopEndpoint: string; // Same across all envs
  scopes: string;            // Different per env (least privilege)
  retries: number;
  timeoutMs: number;
  cache: { enabled: boolean; ttlMs: number };
}

const configs: Record<string, AdobeEnvConfig> = {
  development: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID',        // Minimal scopes for dev
    retries: 1,                       // Fast failure in dev
    timeoutMs: 15_000,
    cache: { enabled: false, ttlMs: 0 },  // No cache in dev
  },
  staging: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID,firefly_api',
    retries: 3,
    timeoutMs: 30_000,
    cache: { enabled: true, ttlMs: 60_000 },
  },
  production: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID,firefly_api,ff_apis',
    retries: 5,
    timeoutMs: 60_000,
    cache: { enabled: true, ttlMs: 300_000 },
  },
};

export function getAdobeConfig(): AdobeEnvConfig & { clientId: string; clientSecret: string } {
  const env = process.env.NODE_ENV || 'development';
  const config = configs[env] || configs.development;

  return {
    ...config,
    clientId: process.env.ADOBE_CLIENT_ID!,
    clientSecret: process.env.ADOBE_CLIENT_SECRET!,
  };
}

Step 3: Secret Management per Environment

# --- Local Development ---
# .env.local (git-ignored)
ADOBE_CLIENT_ID=dev-client-id-from-console
ADOBE_CLIENT_SECRET=p8_dev_secret
ADOBE_SCOPES=openid,AdobeID

# --- GCP Secret Manager ---
# Create secrets for staging and production
gcloud secrets create adobe-client-id-staging --data-file=- <<< "staging-client-id"
gcloud secrets create adobe-client-secret-staging --data-file=- <<< "p8_staging_secret"
gcloud secrets create adobe-client-id-prod --data-file=- <<< "prod-client-id"
gcloud secrets create adobe-client-secret-prod --data-file=- <<< "p8_prod_secret"

# Grant service account access
gcloud secrets add-iam-policy-binding adobe-client-secret-prod \
  --member="serviceAccount:my-app@project.iam.gserviceaccount.com" \
  --role="roles/secretmanager.secretAccessor"

# --- AWS Secrets Manager ---
aws secretsmanager create-secret \
  --name adobe/staging/credentials \
  --secret-string '{"client_id":"...","client_secret":"p8_staging_..."}'

aws secretsmanager create-secret \
  --name adobe/production/credentials \
  --secret-string '{"client_id":"...","client_secret":"p8_prod_..."}'

# --- HashiCorp Vault ---
vault kv put secret/adobe/staging client_id="..." client_secret="p8_staging_..."
vault kv put secret/adobe/production client_id="..." client_secret="p8_prod_..."

Step 4: CI/CD Environment Matrix

# .github/workflows/deploy.yml
jobs:
  deploy:
    strategy:
      matrix:
        environment: [staging, production]
    environment: ${{ matrix.environment }}
    runs-on: ubuntu-latest
    env:
      NODE_ENV: ${{ matrix.environment }}
      ADOBE_CLIENT_ID: ${{ secrets[format('ADOBE_CLIENT_ID_{0}', matrix.environment)] }}
      ADOBE_CLIENT_SECRET: ${{ secrets[format('ADOBE_CLIENT_SECRET_{0}', matrix.environment)] }}
    steps:
      - uses: actions/checkout@v4
      - run: npm ci && npm test
      - name: Verify Adobe credentials for ${{ matrix.environment }}
        run: |
          HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
            'https://ims-na1.adobelogin.com/ims/token/v3' \
            -d "client_id=${ADOBE_CLIENT_ID}&client_secret=${ADOBE_CLIENT_SECRET}&grant_type=client_credentials&scope=openid,AdobeID")
          if [ "$HTTP_CODE" != "200" ]; then
            echo "::error::Adobe credential validation failed for ${{ matrix.environment }}"
            exit 1
          fi
      - run: npm run deploy:${{ matrix.environment }}

Step 5: Environment Safety Guard

// Prevent accidental production operations in non-prod
function requireEnvironment(required: string): void {
  const current = process.env.NODE_ENV || 'development';
  if (current !== required) {
    throw new Error(
      `Operation requires ${required} environment, currently running in ${current}`
    );
  }
}

// Usage: guard dangerous operations
async function deleteAllCachedAssets() {
  requireEnvironment('production');
  // ... actual deletion logic
}

Output

  • Separate Developer Console projects per environment
  • Environment-aware configuration with least-privilege scoping
  • Cloud-native secret management for credentials
  • CI/CD pipeline with per-environment credential injection
  • Safety guards preventing cross-environment operations

Error Handling

IssueCauseSolution
invalid_scope in stagingScope not in staging projectAdd API to staging Console project
Wrong credentials deployedEnvironment mismatchVerify NODE_ENV matches secret path
Secret access deniedMissing IAM bindingGrant secretAccessor role
Config merge failsMissing env config fileEnsure all environments defined

Examples

Start with the smallest applicable command or code example already provided in this guide, using a non-production Adobe environment and credentials. Confirm the documented response or validation result before applying the pattern to production.

Resources

Next Steps

For observability setup, see adobe-observability.

Signals

GitHub stars
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Forks
396
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
adobe-multi-env-setup
Source
github.com/jeremylongshore/tons-of-skills-marketplace