What specific security checks are performed?

The skill performs a security review that audits credentials, access permissions, and ensures sensitive information is handled according to production standards.

How do I trigger the production readiness check?

You can trigger the skill in Claude Code using commands like 'klingai production', 'kling ai go-live', or 'deploy klingai'.

What is included in the output report?

The skill generates a comprehensive readiness report featuring a pass/fail status for every check, specific action items for failures, and an overall production approval status.

Do I need an active Kling AI integration to use this?

Yes, this skill is designed for developers who have already built a Kling AI integration and are ready to move it to a production environment.

What does the Kling AI Production Checklist do?

It automates a pre-launch audit for Kling AI integrations, checking security, monitoring, error handling, and performance to ensure your application is ready for production.

Kling AI Production Readiness Checklist

Name: Kling AI Production Readiness Checklist
Author: jeremylongshore

byjeremylongshore

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982

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Deployment & DevOps

Executes a comprehensive production readiness audit for Kling AI video generation deployments, covering security, monitoring, and performance.

The Kling AI Production Readiness Checklist is a specialized skill for developers transitioning AI video generation features from development to production. It automates the critical verification of go-live requirements, including credential security audits, error path validation, observability setup, and load testing. By providing a standardized framework for production readiness, this skill ensures that Kling AI integrations are resilient, secure, and operationally sound, delivering a detailed report with actionable items to resolve any blockers before launch.

Key Features

01Detailed readiness reports with pass/fail status and remediation steps

02982 GitHub stars

03Comprehensive verification of error handling paths and failure modes

04Guidance for configuring production monitoring and observability

05Performance validation to ensure stability under production loads

06Automated security auditing for API credentials and access controls

Use Cases

01Standardizing deployment checklists across multiple AI development projects

02Preparing a video generation application for its final production launch

03Auditing existing AI integrations for security and operational best practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills klingai-prod-checklist

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Detailed readiness reports with pass/fail status and remediation steps

02982 GitHub stars

03Comprehensive verification of error handling paths and failure modes

04Guidance for configuring production monitoring and observability

05Performance validation to ensure stability under production loads

06Automated security auditing for API credentials and access controls

Use Cases

01Standardizing deployment checklists across multiple AI development projects

02Preparing a video generation application for its final production launch

03Auditing existing AI integrations for security and operational best practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills klingai-prod-checklist

For use in Claude.ai and ChatGPT

Download Skill