Use PoYo AI GPT-4o Image through the `https://api.poyo.ai/api/generate/submit` endpoint. Use when a user wants to generate or edit media with this model family, prepare PoYo-compatible payloads, submit jobs, or poll task status for `gpt-4o-image`, `gpt-4o-image-edit`.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add dvcrn/openclaw-skills-marketplace --skill poyo-gpt-4o-image --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: poyo-gpt-4o-image
description: "Use PoYo AI GPT-4o Image through the `https://api.poyo.ai/api/generate/submit` endpoint. Use when a user wants to generate or edit media with this model family, prepare PoYo-compatible payloads, submit jobs, or poll task status for `gpt-4o-image`, `gpt-4o-image-edit`."
---
# PoYo GPT 4O Image
Use this skill to submit and track PoYo jobs for the GPT-4o Image 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.size` to match the intended aspect ratio or canvas.
## Model selection
### `gpt-4o-image`
Use for general generation with this model variant.
### `gpt-4o-image-edit`
Use for editing or modifying supplied images.
## Execution
- Read `references/api.md` for endpoint details, model ids, key fields, example payloads, and polling notes.
- Use `scripts/submit_gpt_4o_image.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
Notes:
Needs POYO_API_KEY from https://poyo.ai
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