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jeremylongshore

lindy-debug-bundle

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


name: lindy-debug-bundle description: | 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". allowed-tools: Read, Write, Edit, Bash(curl:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

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

#!/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

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

// 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

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

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

IssueDiagnosticResolution
Auth failsCheck API keyRegenerate key
TimeoutCheck networkVerify firewall
Agent missingCheck environmentVerify agent ID

Examples

Quick Health Check

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

Full Debug Script

#!/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.

Score

Total Score

85/100

Based on repository quality metrics

SKILL.md

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+20
LICENSE

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+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 1000以上

+15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

+5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

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