Why Use This
This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases
- Developing new features in the jeremylongshore repository
- Refactoring existing code to follow jeremylongshore standards
- Understanding and working with jeremylongshore's codebase structure
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Updated At Jan 11, 2026, 10:30 PM
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SKILL.md 56 Lines
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License MIT
---
name: klingai-content-policy
description: |
Implement content policy compliance for Kling AI. Use when ensuring generated content meets
guidelines or filtering inappropriate prompts. Trigger with phrases like 'klingai content policy',
'kling ai moderation', 'safe video generation', 'klingai content filter'.
allowed-tools: Read, Write, Edit, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# 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/)