jeremylongshore/claude-code-plugins-plus-skills
lindy-pack
plugins/saas-packs/lindy-pack/skills/lindy-debug-bundle/SKILL.md
January 22, 2026
Select agents to install to:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/lindy-pack/skills/lindy-debug-bundle/SKILL.md -a claude-code --skill lindy-debug-bundleInstallation paths:
.claude/skills/lindy-debug-bundle/# 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
.