Agent skill

lindy-debug-bundle

Comprehensive debugging toolkit for Lindy AI agents. Use when investigating complex issues, collecting diagnostics, or preparing support tickets. Trigger with phrases like "lindy debug", "lindy diagnostics", "lindy support bundle", "investigate lindy issue".

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/lindy-debug-bundle-helixdevelopment-helixagent

SKILL.md

Lindy Debug Bundle

Overview

Comprehensive debugging toolkit for collecting diagnostics and resolving issues.

Prerequisites

  • Lindy SDK installed
  • Access to logs
  • curl installed for API testing

Instructions

Step 1: Collect Environment Info

bash
#!/bin/bash
echo "=== Lindy Debug Bundle ==="
echo "Date: $(date -u +%Y-%m-%dT%H:%M:%SZ)"
echo "Node: $(node -v)"
echo "npm: $(npm -v)"
echo ""

echo "=== SDK Version ==="
npm list @lindy-ai/sdk 2>/dev/null || echo "SDK not found"
echo ""

echo "=== Environment ==="
echo "LINDY_API_KEY: ${LINDY_API_KEY:+[SET]}"
echo "LINDY_ENVIRONMENT: ${LINDY_ENVIRONMENT:-[NOT SET]}"
echo ""

Step 2: Test API Connectivity

bash
echo "=== API Connectivity ==="
curl -s -o /dev/null -w "Status: %{http_code}\nTime: %{time_total}s\n" \
  -H "Authorization: Bearer $LINDY_API_KEY" \
  https://api.lindy.ai/v1/users/me
echo ""

Step 3: Collect Agent State

typescript
// debug/collect-agent-state.ts
import { Lindy } from '@lindy-ai/sdk';

async function collectAgentState(agentId: string) {
  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

  const bundle = {
    timestamp: new Date().toISOString(),
    agent: await lindy.agents.get(agentId),
    runs: await lindy.runs.list({ agentId, limit: 10 }),
    automations: await lindy.automations.list({ agentId }),
  };

  return bundle;
}

// Export for support
const state = await collectAgentState(process.argv[2]);
console.log(JSON.stringify(state, null, 2));

Step 4: Check Run History

typescript
async function analyzeRuns(agentId: string) {
  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

  const runs = await lindy.runs.list({ agentId, limit: 50 });

  const analysis = {
    total: runs.length,
    successful: runs.filter(r => r.status === 'completed').length,
    failed: runs.filter(r => r.status === 'failed').length,
    avgDuration: runs.reduce((a, r) => a + r.duration, 0) / runs.length,
    recentErrors: runs
      .filter(r => r.status === 'failed')
      .slice(0, 5)
      .map(r => ({ id: r.id, error: r.error })),
  };

  return analysis;
}

Step 5: Generate Support Bundle

typescript
async function generateSupportBundle(agentId: string) {
  const bundle = {
    generated: new Date().toISOString(),
    environment: {
      node: process.version,
      platform: process.platform,
      sdk: require('@lindy-ai/sdk/package.json').version,
    },
    agent: await collectAgentState(agentId),
    analysis: await analyzeRuns(agentId),
  };

  const filename = `lindy-debug-${Date.now()}.json`;
  fs.writeFileSync(filename, JSON.stringify(bundle, null, 2));
  console.log(`Bundle saved to: ${filename}`);

  return filename;
}

Output

  • Environment diagnostic information
  • API connectivity test results
  • Agent state and configuration
  • Run history analysis
  • Exportable support bundle

Error Handling

Issue Diagnostic Resolution
Auth fails Check API key Regenerate key
Timeout Check network Verify firewall
Agent missing Check environment Verify agent ID

Examples

Quick Health Check

bash
# One-liner health check
curl -s -H "Authorization: Bearer $LINDY_API_KEY" \
  https://api.lindy.ai/v1/users/me | jq '.email'

Full Debug Script

bash
#!/bin/bash
# save as lindy-debug.sh

echo "Collecting Lindy debug info..."
npx ts-node debug/collect-agent-state.ts $1 > debug-bundle.json
echo "Bundle saved to debug-bundle.json"

Resources

Next Steps

Proceed to lindy-rate-limits for rate limit management.

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