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Kling 3 Prompting

Checked
aedev-tools·vlatest·video-media·MIT

Kling 3 Prompting helps craft highly effective prompts for large language models, boosting output quality and relevance for diverse tasks.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aedev-tools/kling-3-prompting-skill --skill kling-3-prompting -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aedev-tools

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aedev-tools/kling-3-prompting-skill at 3beb4cbb2c.

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Commit
3beb4cbb2c
Manifest
skills/kling-3-prompting/SKILL.md
Scanned
1 file, 203 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill enables AI agents to generate and refine prompts specifically optimized for the Kling 3 video generation model. It helps translate high-level creative concepts into precise instructions that yield coherent motion and visual fidelity in Kling's output.

When to use it

  • You need to create short-form video content with consistent character movements.
  • You want to experiment with dynamic camera angles or specific lighting effects within Kling.
  • Your workflow requires converting text descriptions directly into functional Kling generation parameters.
  • You are building an agent that automates the prompt engineering step for video synthesis tasks.

Key capabilities

  • Generates structured prompts tailored to Kling 3's syntax and understanding.
  • Refines user inputs to improve video coherence and reduce artifacts.
  • Facilitates rapid iteration on visual styles and motion dynamics.

Example prompts

  • "Generate a Kling 3 prompt for a cyberpunk city scene with rain reflecting neon lights, focusing on slow camera pans."
  • "Optimize this description for Kling: 'A cat running through a forest' to ensure smooth limb animation."
  • "Create a prompt sequence for Kling that transitions from day to night in a busy street market."

Tips & gotchas

Ensure your input descriptions include clear motion verbs and visual descriptors, as Kling relies heavily on these for accurate video synthesis. Avoid overly complex narrative requests in a single prompt; instead, break them into distinct shots for better control over the generated footage.