klingai-content-policy
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'.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-content-policy63
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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:
- Review Policies: Understand Kling AI content rules
- Implement Filters: Add prompt screening
- Handle Violations: Manage rejected content
- Add Moderation: Post-generation review
- 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
- Commit
9659b78
- Last updated
- Created
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