klingai-content-policy

# Klingai Content Policy

## Overview

This skill teaches how to implement content policy compliance including prompt filtering, output moderation, age-appropriate content controls, and handling policy violations for Kling AI.

## Prerequisites

- Kling AI API key configured
- Understanding of content policies
- Python 3.8+

## Instructions

Follow these steps for content compliance:

1. **Review Policies**: Understand Kling AI content rules
2. **Implement Filters**: Add prompt screening
3. **Handle Violations**: Manage rejected content
4. **Add Moderation**: Post-generation review
5. **Document Policies**: Create user guidelines

## Output

Successful execution produces:
- Filtered and approved prompts
- Blocked policy-violating content
- Sanitized alternative prompts
- Violation audit trail

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Kling AI Content Policy](https://klingai.com/content-policy)
- [AI Content Moderation](https://platform.openai.com/docs/guides/moderation)
- [NSFW Detection APIs](https://sightengine.com/)