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Poyo Sora 2 Pro

该 Skill 用于选择 Sora 2 Pro 模型、构建并提交 PoYo 视频生成请求，支持提示词、参考图、时长和宽高比参数，返回 task_id 后可通过轮询或回调跟踪任务；依赖 curl 与 POYO_API_KEY。

coolhackboy
coolhackboy
热度 59.30
最近更新 2026-07-08 08:59:05
分类：创作依赖：第三方 API / 代码执行 / 读写文件应用场景：视频编辑 / API 集成 / 工作流 / 故事创作 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add poyo-sora-2-pro
Metadata
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

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