Execute pre-launch production readiness checklist for Kling AI. Use when preparing to deploy video generation to production. Trigger with phrases like 'klingai production', 'kling ai go-live', 'klingai launch checklist', 'deploy klingai'.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: klingai-prod-checklist description: | Execute pre-launch production readiness checklist for Kling AI. Use when preparing to deploy video generation to production. Trigger with phrases like 'klingai production', 'kling ai go-live', 'klingai launch checklist', 'deploy klingai'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Klingai Prod Checklist
Overview
This skill provides a comprehensive checklist covering security, monitoring, error handling, and operational readiness for production Kling AI deployments.
Prerequisites
- Working Kling AI integration
- Production infrastructure ready
- Monitoring systems configured
Instructions
Follow these steps to prepare for production:
- Security Review: Audit credentials and access
- Error Handling: Verify all error paths
- Monitoring Setup: Configure observability
- Performance Testing: Validate under load
- Documentation: Complete runbooks
Output
Successful execution produces:
- Comprehensive readiness report
- Pass/fail status for each check
- Clear action items for failures
- Production approval status
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
