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jeremylongshore

lindy-prod-checklist

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-prod-checklist description: | Production readiness checklist for Lindy AI deployments. Use when preparing for production, reviewing deployment, or auditing production setup. Trigger with phrases like "lindy production", "lindy prod ready", "lindy go live", "lindy deployment checklist". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Lindy Prod Checklist

Overview

Comprehensive production readiness checklist for Lindy AI deployments.

Prerequisites

  • Completed development and testing
  • Production Lindy account
  • Deployment infrastructure ready

Production Checklist

Authentication & Security

[ ] Production API key generated
[ ] API key stored in secret manager (not env file)
[ ] Key rotation process documented
[ ] Different keys for each environment
[ ] Keys have appropriate scopes/permissions
[ ] Service accounts configured (not personal keys)

Agent Configuration

[ ] All agents tested with production-like data
[ ] Agent instructions reviewed and finalized
[ ] Tool permissions minimized (least privilege)
[ ] Timeout values appropriate for workloads
[ ] Error handling tested for all failure modes
[ ] Fallback behaviors defined

Monitoring & Observability

[ ] Logging configured and tested
[ ] Error alerting set up (PagerDuty/Slack/etc)
[ ] Usage metrics dashboards created
[ ] Rate limit alerts configured
[ ] Latency monitoring enabled
[ ] Cost tracking implemented

Performance & Reliability

[ ] Load testing completed
[ ] Rate limit handling implemented
[ ] Retry logic with exponential backoff
[ ] Circuit breaker pattern for failures
[ ] Graceful degradation defined
[ ] SLA targets documented

Compliance & Documentation

[ ] Data handling documented
[ ] Privacy review completed
[ ] Security review completed
[ ] Runbooks created for incidents
[ ] Escalation paths defined
[ ] On-call schedule set up

Implementation

Health Check Endpoint

// health/lindy.ts
import { Lindy } from '@lindy-ai/sdk';

export async function checkLindyHealth(): Promise<HealthStatus> {
  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
  const start = Date.now();

  try {
    await lindy.users.me();
    const latency = Date.now() - start;

    return {
      status: latency < 1000 ? 'healthy' : 'degraded',
      latency,
      timestamp: new Date().toISOString(),
    };
  } catch (error: any) {
    return {
      status: 'unhealthy',
      error: error.message,
      timestamp: new Date().toISOString(),
    };
  }
}

Pre-Deployment Validation

async function preDeploymentCheck(): Promise<boolean> {
  const checks = {
    apiKey: !!process.env.LINDY_API_KEY,
    environment: process.env.LINDY_ENVIRONMENT === 'production',
    connectivity: false,
    agents: false,
  };

  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

  try {
    await lindy.users.me();
    checks.connectivity = true;

    const agents = await lindy.agents.list();
    checks.agents = agents.length > 0;
  } catch (e) {
    // Failed checks
  }

  const passed = Object.values(checks).every(Boolean);
  console.log('Pre-deployment checks:', checks);
  console.log(`Status: ${passed ? 'PASSED' : 'FAILED'}`);

  return passed;
}

Output

  • Complete production checklist
  • Health check implementation
  • Pre-deployment validation script
  • Go/no-go criteria defined

Error Handling

CheckFailure ActionSeverity
API KeyBlock deployCritical
ConnectivityRetry/alertHigh
Agents existWarningMedium
MonitoringDocument gapMedium

Examples

Deployment Gate Script

#!/bin/bash
# deploy-gate.sh

echo "Running Lindy pre-deployment checks..."

npx ts-node scripts/pre-deployment-check.ts
if [ $? -ne 0 ]; then
  echo "Pre-deployment checks FAILED"
  exit 1
fi

echo "All checks passed. Proceeding with deployment."

Resources

Next Steps

Proceed to lindy-upgrade-migration for version upgrades.

Score

Total Score

85/100

Based on repository quality metrics

SKILL.md

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+20
LICENSE

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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
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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
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プログラミング言語が設定されている

+5
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1つ以上のタグが設定されている

+5

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