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// Skill profile

PoYo Kling 3.0 Multi-Shot Video Generation

Name: PoYo Kling 3.0 Multi-Shot Video Generation
Author: coolhackboy

name: poyo-kling-3-0

by coolhackboy · published 2026-03-22

图像生成数据处理加密货币

Total installs

Stars

★ 0

Last updated

2026-03

// Install command

$ claw add gh:coolhackboy/coolhackboy-kling-3

View on GitHub

// Full documentation

---

name: poyo-kling-3-0

description: Kling 3.0 video generation on PoYo / poyo.ai via `https://api.poyo.ai/api/generate/submit`; use for `kling-3.0/standard`, `kling-3.0/pro`, single-shot, multi-shot, `multi_prompt`, `kling_elements`, and sound-enabled output.

metadata: {"openclaw": {"homepage": "https://docs.poyo.ai/api-manual/video-series/kling-3-0", "requires": {"bins": ["curl"], "env": ["POYO_API_KEY"]}, "primaryEnv": "POYO_API_KEY"}}

---

# PoYo Kling 3.0 Multi-Shot Video Generation

Use this skill for Kling 3.0 jobs on PoYo. It covers single-shot and multi-shot video generation, element-referenced prompting, and sound-enabled output.

Use When

The user explicitly asks for `Kling 3.0`, `kling-3.0/standard`, or `kling-3.0/pro`.

The task needs multi-shot storytelling or structured multi-prompt input.

The workflow depends on `kling_elements`, reference frames, or sound control.

Model Selection

`kling-3.0/standard`: standard-quality entry point.

`kling-3.0/pro`: higher-quality variant for users who explicitly want pro output.

Key Inputs

`sound`, `multi_shots`, and `duration` drive the main workflow.

`prompt` is for single-shot; `multi_prompt` is for multi-shot.

`image_urls` is for start/end frames and is also required when `kling_elements` is used.

`aspect_ratio` supports `1:1`, `16:9`, `9:16`.

Execution

Read `references/api.md` for endpoint details, model ids, key fields, example payloads, and polling notes.

Use `scripts/submit_kling_3_0.sh` to submit a raw JSON payload from the shell.

If the user only needs a curl example, adapt the example from `references/api.md` instead of rewriting from scratch.

After submission, report the `task_id` clearly so follow-up polling is easy.

Output expectations

When helping with this model family, include:

chosen model id

final payload or a concise parameter summary

whether reference images are involved

returned `task_id` if a request was actually submitted

next step: poll status or wait for webhook

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