jeremylongshore

klingai-content-policy

@jeremylongshore/klingai-content-policy
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

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'.

Installation

$skills install @jeremylongshore/klingai-content-policy
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/klingai-pack/skills/klingai-content-policy/SKILL.md
Branchmain
Scoped Name@jeremylongshore/klingai-content-policy

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


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

More by jeremylongshore

View all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

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".

neural-network-builder
1,004

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
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.