Adobe Advanced Troubleshooting

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Helps your agent debug Adobe API problems using advanced troubleshooting techniques.

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About this capability

Isolate complex Adobe failures across DNS/TLS, auth, entitlement, schema, async state, storage, Runtime, and downstream layers without leaking credentials or content. Use when the task requires adobe layered failure isolation. Trigger with "deep debug Adobe", "Adobe job stuck", or "Adobe intermitten

What this skill tells your AI

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

Overview

Deep debugging techniques for complex Adobe API issues that resist standard troubleshooting: IMS token problems, Firefly async job failures, PDF Services edge cases, and network-layer diagnostics.

Prerequisites

  • Access to production logs and metrics
  • curl with verbose mode for HTTP debugging
  • Understanding of OAuth 2.0 token flows
  • Network capture tools (tcpdump, openssl s_client)

Instructions

Technique 1: IMS Token Introspection

When auth issues occur, decode the access token to check claims:

# Adobe IMS tokens are JWTs — decode the payload (middle segment)
TOKEN=$(curl -s -X POST 'https://ims-na1.adobelogin.com/ims/token/v3' \
  -d "client_id=${ADOBE_CLIENT_ID}&client_secret=${ADOBE_CLIENT_SECRET}&grant_type=client_credentials&scope=${ADOBE_SCOPES}" | jq -r '.access_token')

# Decode JWT payload (base64url-decode the middle segment)
echo "$TOKEN" | cut -d. -f2 | tr '_-' '/+' | base64 -d 2>/dev/null | jq .

# Look for:
# - "exp": expiration timestamp (is it expired?)
# - "iss": should be "ims-na1.adobelogin.com"
# - "as": scopes granted (do they match what you requested?)
# - "client_id": verify it matches your ADOBE_CLIENT_ID

Technique 2: Verbose HTTP Request Tracing

# Full HTTP trace against Firefly API
curl -v -X POST 'https://firefly-api.adobe.io/v3/images/generate' \
  -H "Authorization: Bearer ${TOKEN}" \
  -H "x-api-key: ${ADOBE_CLIENT_ID}" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"test","n":1,"size":{"width":512,"height":512}}' 2>&1 | tee firefly-debug.log

# Check for:
# - TLS handshake issues (look for SSL/TLS lines)
# - Request headers actually sent
# - Response headers (Retry-After, x-request-id, x-adobe-*)
# - Response body with error details

Technique 3: Firefly Async Job Failure Analysis

// When async Firefly jobs fail, the status endpoint returns error details
async function diagnoseFireflyJob(jobId: string) {
  const token = await getAccessToken();

  const response = await fetch(
    `https://firefly-api.adobe.io/v3/images/jobs/${encodeURIComponent(jobId)}`,
    {
    headers: {
      'Authorization': `Bearer ${token}`,
      'x-api-key': process.env.ADOBE_CLIENT_ID!,
    },
    }
  );

  const status = await response.json();

  console.log('=== Firefly Job Diagnosis ===');
  console.log('Job ID:', jobId);
  console.log('Status:', status.status);

  if (status.status === 'failed') {
    console.log('Error code:', status.error?.code);
    console.log('Error message:', status.error?.message);
    console.log('Error details:', JSON.stringify(status.error?.details, null, 2));

    // Common failure reasons:
    // - "content_policy": prompt violated guidelines
    // - "input_validation": invalid parameters
    // - "internal_error": Adobe server issue (retry)
    // - "timeout": job took too long (simplify prompt)
  }

  // Log all response headers for Adobe support
  console.log('Response headers:', Object.fromEntries(response.headers.entries()));
}

Technique 4: PDF Services Error Code Mapping

// src/adobe/pdf-error-map.ts
// Comprehensive PDF Services error codes and recovery actions

const PDF_ERROR_MAP: Record<string, { cause: string; action: string; retryable: boolean }> = {
  'DISQUALIFIED':      { cause: 'File is encrypted/password-protected', action: 'Decrypt PDF first', retryable: false },
  'BAD_PDF':           { cause: 'Corrupted or invalid PDF', action: 'Validate with pdfinfo/pdftk', retryable: false },
  'BAD_PDF_CONTENT':   { cause: 'PDF content is malformed', action: 'Re-export from source', retryable: false },
  'UNSUPPORTED_MEDIA_TYPE': { cause: 'Wrong file format for operation', action: 'Check MimeType matches file', retryable: false },
  'FILE_SIZE_EXCEEDED': { cause: 'File exceeds size limit', action: 'Compress or split PDF', retryable: false },
  'PAGE_LIMIT_EXCEEDED': { cause: 'Too many pages for operation', action: 'Split into smaller PDFs', retryable: false },
  'QUOTA_EXCEEDED':    { cause: 'Monthly transaction limit hit', action: 'Upgrade plan or wait for reset', retryable: false },
  'INTERNAL_ERROR':    { cause: 'Adobe server error', action: 'Retry with backoff', retryable: true },
  'TIMEOUT':           { cause: 'Processing timeout', action: 'Try smaller file or fewer pages', retryable: true },
};

export function diagnosePdfError(errorCode: string): string {
  const info = PDF_ERROR_MAP[errorCode];
  if (!info) return `Unknown PDF Services error: ${errorCode}`;
  return `${errorCode}: ${info.cause}\nAction: ${info.action}\nRetryable: ${info.retryable}`;
}

Technique 5: Layer-by-Layer Isolation

#!/bin/bash
# adobe-layer-test.sh — Test each network layer independently

echo "=== Layer 1: DNS Resolution ==="
nslookup ims-na1.adobelogin.com
nslookup firefly-api.adobe.io
nslookup image.adobe.io

echo ""
echo "=== Layer 2: TCP Connectivity ==="
for host in ims-na1.adobelogin.com firefly-api.adobe.io image.adobe.io; do
  timeout 5 bash -c "echo > /dev/tcp/$host/443" 2>/dev/null && echo "$host:443 OPEN" || echo "$host:443 BLOCKED"
done

echo ""
echo "=== Layer 3: TLS Handshake ==="
for host in ims-na1.adobelogin.com firefly-api.adobe.io; do
  echo | openssl s_client -connect "$host:443" -servername "$host" 2>/dev/null | grep -E "subject|issuer|Verify return"
done

echo ""
echo "=== Layer 4: IMS Authentication ==="
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=${ADOBE_CLIENT_SECRET}&grant_type=client_credentials&scope=${ADOBE_SCOPES}")
echo "IMS Token: HTTP $HTTP_CODE"

echo ""
echo "=== Layer 5: API Endpoint ==="
if [ "$HTTP_CODE" = "200" ]; then
  TOKEN=$(curl -s -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=${ADOBE_SCOPES}" | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])")
  API_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
    'https://firefly-api.adobe.io/v3/images/generate' \
    -H "Authorization: Bearer $TOKEN" \
    -H "x-api-key: $ADOBE_CLIENT_ID" \
    -H "Content-Type: application/json" \
    -d '{"prompt":"test","n":1,"size":{"width":512,"height":512}}')
  echo "Firefly API: HTTP $API_CODE"
fi

Technique 6: Extract x-request-id for Adobe Support

// Always capture x-request-id from Adobe responses for support escalation
async function debugAdobeCall(url: string, options: RequestInit) {
  const response = await fetch(url, options);

  const debugInfo = {
    url,
    status: response.status,
    requestId: response.headers.get('x-request-id'),
    retryAfter: response.headers.get('Retry-After'),
    contentType: response.headers.get('content-type'),
    date: response.headers.get('date'),
  };

  if (!response.ok) {
    const body = await response.text();
    console.error('Adobe API Error:', { ...debugInfo, body: body.slice(0, 500) });
    // Include x-request-id in support ticket for Adobe to trace the request
  }

  return { response, debugInfo };
}

Support Escalation Template

Adobe Support Ticket

Severity: P[1-4]
x-request-id: [from response header]
Timestamp: [ISO 8601]
Client ID: [first 8 chars only]
API: [Firefly / PDF Services / Photoshop]
Endpoint: [full URL]
HTTP Status: [status code]

Issue Summary: [1-2 sentences]

Steps to Reproduce:
1. [Step]
2. [Step]

Evidence:
- Layer test results attached
- Verbose curl output attached
- JWT token claims (non-sensitive fields only)

Workarounds Attempted:
1. [What you tried] - [Result]

Output

  • IMS token decoded and claims inspected
  • HTTP request/response fully traced
  • Error codes mapped to recovery actions
  • Network layers tested independently
  • Support escalation with x-request-id

Error Handling

If a step fails, stop before applying follow-on changes, retain sanitized diagnostic evidence, and use the troubleshooting or escalation guidance already in this skill. Treat authentication and vendor-service failures separately from local configuration errors.

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 load testing, see adobe-load-scale.

Signals

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