Poyo Sora 2 Pro

SKILL.md

---
name: poyo-sora-2-pro
description: Use PoYo AI Sora 2 Pro for longer premium video generation through the `https://api.poyo.ai/api/generate/submit` endpoint. Use when a user wants 15s or 25s cinematic clips, optional storyboard control, style presets, image-to-video input, or PoYo payloads for `sora-2-pro` and `sora-2-pro-private`.
metadata: {"openclaw": {"homepage": "https://poyo.ai/models/sora-2-pro", "requires": {"bins": ["curl"], "env": ["POYO_API_KEY"]}, "primaryEnv": "POYO_API_KEY"}}
---

# PoYo Sora 2 Pro Video Generation

## PoYo Links

- Model page: <https://poyo.ai/models/sora-2-pro>
- API docs: <https://docs.poyo.ai/api-manual/video-series/sora-2-pro>
- API key page: <https://poyo.ai/dashboard/api-key>

Use this skill to submit and track PoYo jobs for the Sora 2 Pro family.

## Quick workflow

1. Choose the right model id for the requested output.
2. Build the request body for `POST https://api.poyo.ai/api/generate/submit`.
3. Send Bearer-authenticated JSON with `Authorization: Bearer <POYO_API_KEY>`.
4. Save the returned `task_id`.
5. Poll unified task status or wait for `callback_url` notifications.

## Request rules

- Require top-level `model`.
- Keep prompts concrete and outcome-focused.
- Require `input.prompt` unless the user already supplied a full payload.
- Use `input.image_urls` only when the task needs reference or source images.
- Use `input.duration` when the clip length matters.
- Use `input.aspect_ratio` when the output surface matters.

## Model selection

### `sora-2-pro`

Use for higher-quality or premium jobs.
### `sora-2-pro-private`

Use for private deployment or account-specific private variants.

## Execution

- Read `references/api.md` for endpoint details, model ids, key fields, example payloads, and polling notes.
- Use `scripts/submit_sora_2_pro.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