---

name: figma-advanced-troubleshooting description: 'Deep debugging for Figma API issues: network analysis, response inspection, and support escalation.

Use when standard troubleshooting fails, diagnosing intermittent failures,

or preparing detailed evidence for Figma support.

Trigger with phrases like "figma hard bug", "figma mystery error",

"figma deep debug", "figma intermittent failure", "figma support ticket".

' allowed-tools: Read, Grep, Bash(curl:), Bash(node:) version: 1.6.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• figma compatibility: Designed for Claude Code

---

Figma Advanced Troubleshooting

Overview

Deep debugging techniques for complex Figma REST API issues that resist standard error handling: intermittent failures, unexpected response shapes, rate limit edge cases, and large file timeouts.

Prerequisites

• Access to application logs
• curl with verbose mode for network inspection
• Figma API credentials for testing

Instructions

Step 1: Verbose Request Inspection

# Full HTTP request/response trace for a Figma API call
curl -v -H "X-Figma-Token: ${FIGMA_PAT}" \
  "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1" 2>&1 \
  | tee figma-debug-trace.txt

# Extract key diagnostic info:
# - TLS version and cipher
# - Response status and headers
# - Timing breakdown
curl -w "
DNS:        %{time_namelookup}s
Connect:    %{time_connect}s
TLS:        %{time_appconnect}s
TTFB:       %{time_starttransfer}s
Total:      %{time_total}s
Size:       %{size_download} bytes
Status:     %{http_code}
" -s -o /dev/null \
  -H "X-Figma-Token: ${FIGMA_PAT}" \
  "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1"

Step 2: Response Shape Validation

// Figma API responses can be unexpectedly shaped when:
// - File is empty or newly created
// - Nodes have been deleted between requests
// - Plugin data is corrupted

function validateFileResponse(data: any): string[] {
  const issues: string[] = [];

  if (!data.document) issues.push('Missing document root');
  if (!data.document?.children?.length) issues.push('Document has no pages');
  if (typeof data.name !== 'string') issues.push('Missing file name');
  if (!data.version) issues.push('Missing version field');

  // Check for null nodes (deleted between list and fetch)
  if (data.nodes) {
    for (const [id, node] of Object.entries(data.nodes)) {
      if (node === null) issues.push(`Null node: ${id} (deleted or invisible)`);
    }
  }

  // Check images response for null renders
  if (data.images) {
    for (const [id, url] of Object.entries(data.images)) {
      if (url === null) issues.push(`Image render failed for node: ${id}`);
    }
  }

  return issues;
}

Step 3: Rate Limit Edge Cases

// Problem: Figma rate limits are per-user, per-minute, but the exact
// limit is not published and varies by plan tier and seat type.

// Diagnostic: measure your actual limit by counting successful requests
async function measureRateLimit(token: string): Promise<{
  requestsMade: number;
  firstRateLimitAt: number | null;
  retryAfter: number | null;
}> {
  let count = 0;
  let rateLimitAt: number | null = null;
  let retryAfter: number | null = null;

  // Make requests until rate limited (use a read-only endpoint)
  while (count < 200) {
    const res = await fetch('https://api.figma.com/v1/me', {
      headers: { 'X-Figma-Token': token },
    });

    if (res.status === 429) {
      rateLimitAt = count;
      retryAfter = parseInt(res.headers.get('Retry-After') || '0');
      break;
    }

    count++;
    // Small delay to avoid instant burst
    await new Promise(r => setTimeout(r, 100));
  }

  return { requestsMade: count, firstRateLimitAt: rateLimitAt, retryAfter };
}

Step 4: Large File Debugging

// Large Figma files (1000+ components) can cause:
// - Response timeouts (>30s)
// - Memory issues (100+ MB JSON)
// - Rate limits from repeated retries

// Strategy: chunk the file by page
async function fetchLargeFileSafely(fileKey: string, token: string) {
  // 1. Get file metadata with depth=1 (just pages, not children)
  const meta = await fetch(
    `https://api.figma.com/v1/files/${fileKey}?depth=1`,
    { headers: { 'X-Figma-Token': token } }
  ).then(r => r.json());

  console.log(`File: ${meta.name}, Pages: ${meta.document.children.length}`);

  // 2. Fetch each page's content individually
  const results = [];
  for (const page of meta.document.children) {
    console.log(`Fetching page: ${page.name} (${page.id})`);

    const pageData = await fetch(
      `https://api.figma.com/v1/files/${fileKey}/nodes?ids=${page.id}`,
      { headers: { 'X-Figma-Token': token } }
    ).then(r => r.json());

    results.push({ pageId: page.id, pageName: page.name, data: pageData });

    // Respect rate limits between page fetches
    await new Promise(r => setTimeout(r, 500));
  }

  return results;
}

Step 5: Support Escalation Template

## Figma API Support Request

**Account email:** [your-email]
**Plan tier:** [Starter/Professional/Organization/Enterprise]
**Endpoint:** [e.g., GET /v1/files/:key]
**File key:** [file key, not sensitive]

### Issue Description
[1-2 sentences describing the problem]

### Reproduction Steps
1. Call `GET https://api.figma.com/v1/files/FILE_KEY?depth=1`
2. Observe: [expected vs actual behavior]

### Diagnostic Data
- HTTP status: [status code]
- Response headers: [relevant headers, especially rate limit]
- Response time: [from curl timing]
- Frequency: [every time / intermittent / specific conditions]

### Request/Response (redacted)

curl -v -H "X-Figma-Token: [REDACTED]"
"https://api.figma.com/v1/files/FILE_KEY?depth=1"

HTTP/2 [status] x-figma-rate-limit-type: [value] retry-after: [value]

### Environment
- Node.js: [version]
- OS: [os]
- Region: [your server region]
- Behind proxy: [yes/no]

Output

• Verbose request/response traces captured
• Response shape issues identified
• Rate limit behavior measured
• Large file handled with page-level chunking
• Support ticket prepared with diagnostic data

Error Handling

Issue	Diagnostic	Solution
Intermittent 500s	Track frequency and timing	Log every request; report pattern to Figma
Slow responses	curl timing breakdown	Check if DNS/TLS is the bottleneck
Null image renders	Validate node visibility	Check node opacity and visibility in Figma
Memory crash	Large file JSON	Use depth=1 + per-page /nodes calls

Examples

A sync that "randomly fails" — verbose inspection (Step 1) shows it's not random:

curl -sv -H "X-Figma-Token: ${FIGMA_PAT}" \
  "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1" 2>&1 \
  | /usr/bin/grep -E '^< (HTTP|retry-after|x-)'

< HTTP/2 429
< retry-after: 47

The failures cluster at the top of each hour — a cron thundering herd, not flakiness. Fix per Step 3 (jitter + honor Retry-After).

A "works for small files, breaks for the design system" report is usually payload size — Step 4:

curl -s -o /dev/null -w '%{size_download}\n' -H "X-Figma-Token: ${FIGMA_PAT}" \
  "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}"
# 48731210   ← 48 MB full tree; switch to ?depth=1 + /nodes?ids=

Escalation packet for Figma support: references/support-escalation-template.md.

Resources

• Figma Developer Forum
• Figma Support
• Figma Status Page

Next Steps

For load testing, see figma-load-scale.