[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F6ES3BNR847G4MX0Y05ERT":3,"skill-same:01M6F6ES3BNR847G4MX0Y05ERT":84},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":66,"ownerHtmlUrl":67,"ownerBlogUrl":6,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6F6ES3BNR847G4MX0Y05ERT","adobe-deploy-integration",null,"Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder\nwith proper credential injection and health monitoring.\nUse when deploying Adobe API integrations to production platforms.\nTrigger with phrases like \"deploy adobe\", \"adobe Vercel\",\n\"adobe Cloud Run\", \"adobe App Builder deploy\", \"adobe production deploy\".","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fadobe-deploy-integration\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"deploy","adobe deploy integration","adobe","integration","code","monitoring","injection","api","Bash","integrations","read","write","edit","builder","app","io","trigger","aio","run","design","2026-11-10 10:12:30",false,"---\nname: adobe-deploy-integration\ndescription: |\n  Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder\n  with proper credential injection and health monitoring.\n  Use when deploying Adobe API integrations to production platforms.\n  Trigger with phrases like \"deploy adobe\", \"adobe Vercel\",\n  \"adobe Cloud Run\", \"adobe App Builder deploy\", \"adobe production deploy\".\nallowed-tools: Read, Write, Edit, Bash(vercel:*), Bash(gcloud:*), Bash(aio:*)\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ntags: [saas, design, adobe]\ncompatible-with: claude-code\n---\n\n# Adobe Deploy Integration\n\n## Overview\n\nDeploy Adobe-powered applications to three platforms: Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder (native Adobe Runtime). Each with proper OAuth credential management.\n\n## Prerequisites\n\n- Adobe OAuth Server-to-Server credentials for production\n- Platform CLI installed (`vercel`, `gcloud`, or `aio`)\n- Application tested in staging environment\n\n## Instructions\n\n### Option A: Adobe App Builder (Native Adobe Hosting)\n\nApp Builder deploys serverless Runtime actions directly to Adobe infrastructure:\n\n```bash\n# Login to Adobe I\u002FO CLI (requires IMS auth since AIO CLI v11)\naio login\n\n# Select your project and workspace\naio console project select\naio console workspace select Production\n\n# Deploy all actions, static assets, and event registrations\naio app deploy\n\n# Check deployed actions\naio runtime action list\n\n# View action logs\naio runtime activation list --limit 10\naio runtime activation logs \u003CactivationId>\n```\n\n```javascript\n\u002F\u002F app.config.yaml — App Builder configuration\napplication:\n  actions: actions\n  web: web-src\n  runtimeManifest:\n    packages:\n      my-adobe-app:\n        actions:\n          process-image:\n            function: actions\u002Fprocess-image\u002Findex.js\n            runtime: nodejs:20\n            inputs:\n              ADOBE_CLIENT_ID: $ADOBE_CLIENT_ID\n              ADOBE_CLIENT_SECRET: $ADOBE_CLIENT_SECRET\n            annotations:\n              require-adobe-auth: true\n              final: true\n```\n\n### Option B: Vercel Deployment\n\n```bash\n# Set Adobe credentials as Vercel environment variables\nvercel env add ADOBE_CLIENT_ID production\nvercel env add ADOBE_CLIENT_SECRET production\nvercel env add ADOBE_SCOPES production\n\n# Deploy\nvercel --prod\n```\n\n```json\n\u002F\u002F vercel.json\n{\n  \"functions\": {\n    \"api\u002F**\u002F*.ts\": {\n      \"maxDuration\": 60\n    }\n  },\n  \"env\": {\n    \"ADOBE_CLIENT_ID\": \"@adobe_client_id\",\n    \"ADOBE_CLIENT_SECRET\": \"@adobe_client_secret\",\n    \"ADOBE_SCOPES\": \"@adobe_scopes\"\n  }\n}\n```\n\n```typescript\n\u002F\u002F api\u002Ffirefly\u002Fgenerate.ts — Vercel serverless function\nimport type { VercelRequest, VercelResponse } from '@vercel\u002Fnode';\nimport { getAccessToken } from '..\u002F..\u002Fsrc\u002Fadobe\u002Fclient';\n\nexport default async function handler(req: VercelRequest, res: VercelResponse) {\n  if (req.method !== 'POST') return res.status(405).end();\n\n  try {\n    const token = await getAccessToken();\n    const fireflyResponse = await fetch(\n      'https:\u002F\u002Ffirefly-api.adobe.io\u002Fv3\u002Fimages\u002Fgenerate',\n      {\n        method: 'POST',\n        headers: {\n          'Authorization': `Bearer ${token}`,\n          'x-api-key': process.env.ADOBE_CLIENT_ID!,\n          'Content-Type': 'application\u002Fjson',\n        },\n        body: JSON.stringify(req.body),\n      }\n    );\n\n    const result = await fireflyResponse.json();\n    return res.status(fireflyResponse.status).json(result);\n  } catch (error: any) {\n    return res.status(500).json({ error: error.message });\n  }\n}\n```\n\n### Option C: Google Cloud Run\n\n```bash\n# Store credentials in Secret Manager\necho -n \"${ADOBE_CLIENT_ID}\" | gcloud secrets create adobe-client-id --data-file=-\necho -n \"${ADOBE_CLIENT_SECRET}\" | gcloud secrets create adobe-client-secret --data-file=-\n\n# Build and deploy\ngcloud builds submit --tag gcr.io\u002F${PROJECT_ID}\u002Fadobe-service\n\ngcloud run deploy adobe-service \\\n  --image gcr.io\u002F${PROJECT_ID}\u002Fadobe-service \\\n  --region us-central1 \\\n  --platform managed \\\n  --set-secrets=\"ADOBE_CLIENT_ID=adobe-client-id:latest,ADOBE_CLIENT_SECRET=adobe-client-secret:latest\" \\\n  --set-env-vars=\"ADOBE_SCOPES=openid,AdobeID,firefly_api\" \\\n  --min-instances=1 \\\n  --timeout=60s\n```\n\n### Health Check Endpoint (All Platforms)\n\n```typescript\n\u002F\u002F api\u002Fhealth.ts\nexport async function GET() {\n  const checks: Record\u003Cstring, any> = {};\n\n  \u002F\u002F Test Adobe IMS token generation\n  try {\n    const start = Date.now();\n    const token = await getAccessToken();\n    checks.adobe = {\n      status: 'healthy',\n      latencyMs: Date.now() - start,\n      tokenLength: token.length,\n    };\n  } catch (error: any) {\n    checks.adobe = {\n      status: 'unhealthy',\n      error: error.message,\n    };\n  }\n\n  const overall = Object.values(checks).every(\n    (c: any) => c.status === 'healthy'\n  ) ? 'healthy' : 'degraded';\n\n  return Response.json({\n    status: overall,\n    services: checks,\n    timestamp: new Date().toISOString(),\n  });\n}\n```\n\n## Output\n\n- Application deployed to chosen platform\n- Adobe credentials injected via platform secret management\n- Health check endpoint validates IMS connectivity\n- Serverless function timeout configured for Adobe API latency\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| `aio app deploy` auth error | Not logged in to AIO CLI | Run `aio login` |\n| Vercel function timeout | Adobe API takes > 10s | Increase `maxDuration` in vercel.json |\n| Cloud Run cold start timeout | Token generation on cold start | Set `min-instances=1` |\n| Secret not found | Wrong secret name | Verify with `gcloud secrets list` or `vercel env ls` |\n\n## Resources\n\n- [Adobe App Builder Deployment](https:\u002F\u002Fdeveloper.adobe.com\u002Fapp-builder\u002Fdocs\u002Fguides\u002Fapp_builder_guides\u002Fdeployment\u002Fdeployment)\n- [Vercel Environment Variables](https:\u002F\u002Fvercel.com\u002Fdocs\u002Fenvironment-variables)\n- [Cloud Run Secrets](https:\u002F\u002Fcloud.google.com\u002Frun\u002Fdocs\u002Fconfiguring\u002Fservices\u002Fsecrets)\n\n## Next Steps\n\nFor webhook handling, see `adobe-webhooks-events`.\n\n","# Adobe Deploy Integration\n\n## Overview\n\nDeploy Adobe-powered applications to three platforms: Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder (native Adobe Runtime). Each with proper OAuth credential management.\n\n## Prerequisites\n\n- Adobe OAuth Server-to-Server credentials for production\n- Platform CLI installed (`vercel`, `gcloud`, or `aio`)\n- Application tested in staging environment\n\n## Instructions\n\n### Option A: Adobe App Builder (Native Adobe Hosting)\n\nApp Builder deploys serverless Runtime actions directly to Adobe infrastructure:\n\n```bash\n# Login to Adobe I\u002FO CLI (requires IMS auth since AIO CLI v11)\naio login\n\n# Select your project and workspace\naio console project select\naio console workspace select Production\n\n# Deploy all actions, static assets, and event registrations\naio app deploy\n\n# Check deployed actions\naio runtime action list\n\n# View action logs\naio runtime activation list --limit 10\naio runtime activation logs \u003CactivationId>\n```\n\n```javascript\n\u002F\u002F app.config.yaml — App Builder configuration\napplication:\n  actions: actions\n  web: web-src\n  runtimeManifest:\n    packages:\n      my-adobe-app:\n        actions:\n          process-image:\n            function: actions\u002Fprocess-image\u002Findex.js\n            runtime: nodejs:20\n            inputs:\n              ADOBE_CLIENT_ID: $ADOBE_CLIENT_ID\n              ADOBE_CLIENT_SECRET: $ADOBE_CLIENT_SECRET\n            annotations:\n              require-adobe-auth: true\n              final: true\n```\n\n### Option B: Vercel Deployment\n\n```bash\n# Set Adobe credentials as Vercel environment variables\nvercel env add ADOBE_CLIENT_ID production\nvercel env add ADOBE_CLIENT_SECRET production\nvercel env add ADOBE_SCOPES production\n\n# Deploy\nvercel --prod\n```\n\n```json\n\u002F\u002F vercel.json\n{\n  \"functions\": {\n    \"api\u002F**\u002F*.ts\": {\n      \"maxDuration\": 60\n    }\n  },\n  \"env\": {\n    \"ADOBE_CLIENT_ID\": \"@adobe_client_id\",\n    \"ADOBE_CLIENT_SECRET\": \"@adobe_client_secret\",\n    \"ADOBE_SCOPES\": \"@adobe_scopes\"\n  }\n}\n```\n\n```typescript\n\u002F\u002F api\u002Ffirefly\u002Fgenerate.ts — Vercel serverless function\nimport type { VercelRequest, VercelResponse } from '@vercel\u002Fnode';\nimport { getAccessToken } from '..\u002F..\u002Fsrc\u002Fadobe\u002Fclient';\n\nexport default async function handler(req: VercelRequest, res: VercelResponse) {\n  if (req.method !== 'POST') return res.status(405).end();\n\n  try {\n    const token = await getAccessToken();\n    const fireflyResponse = await fetch(\n      'https:\u002F\u002Ffirefly-api.adobe.io\u002Fv3\u002Fimages\u002Fgenerate',\n      {\n        method: 'POST',\n        headers: {\n          'Authorization': `Bearer ${token}`,\n          'x-api-key': process.env.ADOBE_CLIENT_ID!,\n          'Content-Type': 'application\u002Fjson',\n        },\n        body: JSON.stringify(req.body),\n      }\n    );\n\n    const result = await fireflyResponse.json();\n    return res.status(fireflyResponse.status).json(result);\n  } catch (error: any) {\n    return res.status(500).json({ error: error.message });\n  }\n}\n```\n\n### Option C: Google Cloud Run\n\n```bash\n# Store credentials in Secret Manager\necho -n \"${ADOBE_CLIENT_ID}\" | gcloud secrets create adobe-client-id --data-file=-\necho -n \"${ADOBE_CLIENT_SECRET}\" | gcloud secrets create adobe-client-secret --data-file=-\n\n# Build and deploy\ngcloud builds submit --tag gcr.io\u002F${PROJECT_ID}\u002Fadobe-service\n\ngcloud run deploy adobe-service \\\n  --image gcr.io\u002F${PROJECT_ID}\u002Fadobe-service \\\n  --region us-central1 \\\n  --platform managed \\\n  --set-secrets=\"ADOBE_CLIENT_ID=adobe-client-id:latest,ADOBE_CLIENT_SECRET=adobe-client-secret:latest\" \\\n  --set-env-vars=\"ADOBE_SCOPES=openid,AdobeID,firefly_api\" \\\n  --min-instances=1 \\\n  --timeout=60s\n```\n\n### Health Check Endpoint (All Platforms)\n\n```typescript\n\u002F\u002F api\u002Fhealth.ts\nexport async function GET() {\n  const checks: Record\u003Cstring, any> = {};\n\n  \u002F\u002F Test Adobe IMS token generation\n  try {\n    const start = Date.now();\n    const token = await getAccessToken();\n    checks.adobe = {\n      status: 'healthy',\n      latencyMs: Date.now() - start,\n      tokenLength: token.length,\n    };\n  } catch (error: any) {\n    checks.adobe = {\n      status: 'unhealthy',\n      error: error.message,\n    };\n  }\n\n  const overall = Object.values(checks).every(\n    (c: any) => c.status === 'healthy'\n  ) ? 'healthy' : 'degraded';\n\n  return Response.json({\n    status: overall,\n    services: checks,\n    timestamp: new Date().toISOString(),\n  });\n}\n```\n\n## Output\n\n- Application deployed to chosen platform\n- Adobe credentials injected via platform secret management\n- Health check endpoint validates IMS connectivity\n- Serverless function timeout configured for Adobe API latency\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| `aio app deploy` auth error | Not logged in to AIO CLI | Run `aio login` |\n| Vercel function timeout | Adobe API takes > 10s | Increase `maxDuration` in vercel.json |\n| Cloud Run cold start timeout | Token generation on cold start | Set `min-instances=1` |\n| Secret not found | Wrong secret name | Verify with `gcloud secrets list` or `vercel env ls` |\n\n## Resources\n\n- [Adobe App Builder Deployment](https:\u002F\u002Fdeveloper.adobe.com\u002Fapp-builder\u002Fdocs\u002Fguides\u002Fapp_builder_guides\u002Fdeployment\u002Fdeployment)\n- [Vercel Environment Variables](https:\u002F\u002Fvercel.com\u002Fdocs\u002Fenvironment-variables)\n- [Cloud Run Secrets](https:\u002F\u002Fcloud.google.com\u002Frun\u002Fdocs\u002Fconfiguring\u002Fservices\u002Fsecrets)\n\n## Next Steps\n\nFor webhook handling, see `adobe-webhooks-events`.\n\n",{"name":5,"tags":54,"author":56,"license":15,"version":57,"description":58,"allowed-tools":59,"compatible-with":60},[55,48,31],"saas","Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder\nwith proper credential injection and health monitoring.\nUse when deploying Adobe API integrations to production platforms.\nTrigger with phrases like \"deploy adobe\", \"adobe Vercel\",\n\"adobe Cloud Run\", \"adobe App Builder deploy\", \"adobe production deploy\".\n","Read, 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