jeremylongshore

klingai-camera-control

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

Manage control camera movements in Kling AI video generation. Use when creating cinematic effects, dynamic shots, or specific camera movements. Trigger with phrases like 'klingai camera', 'kling ai camera motion', 'klingai cinematic', 'klingai pan zoom'.

Installation

$skills install @jeremylongshore/klingai-camera-control
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

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

Usage

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

Verify installation:

skills list

Skill Instructions


name: klingai-camera-control description: | Manage control camera movements in Kling AI video generation. Use when creating cinematic effects, dynamic shots, or specific camera movements. Trigger with phrases like 'klingai camera', 'kling ai camera motion', 'klingai cinematic', 'klingai pan zoom'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Klingai Camera Control

Overview

This skill demonstrates advanced camera control in Kling AI including pan, tilt, zoom, dolly, and complex camera movements for cinematic video generation.

Prerequisites

  • Kling AI API key configured
  • Understanding of cinematography basics
  • Python 3.8+

Instructions

Follow these steps for camera control:

  1. Plan Shot: Design camera movement
  2. Select Motion: Choose camera motion type
  3. Configure Parameters: Set motion intensity
  4. Generate Video: Submit with camera settings
  5. Review Output: Evaluate camera movement

Output

Successful execution produces:

  • Videos with controlled camera motion
  • Cinematic shot sequences
  • Professional camera movements
  • Consistent visual storytelling

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.