SkillHub

poyo-grok-imageine

v1.0.0

Grok Imagine video generation on PoYo / poyo.ai via `https://api.poyo.ai/api/generate/submit`; use for `grok-imagine`, text-to-video, image-to-video, 6s/10s clips, and `fun` / `normal` / `spicy` mode control.

Sourced from ClawHub, Authored by coolhackboy

Installation

Please help me install the skill `poyo-grok-imageine` from SkillHub official store. npx skills add coolhackboy/poyo-grok-imageine

PoYo Grok Imagine Video Generation

Use this skill for grok-imagine jobs on PoYo. It covers short text-to-video, image-to-video, and mode-based styling.

Use When

  • The user explicitly asks for Grok Imagine or grok-imagine.
  • The task is a 6-second or 10-second clip.
  • The workflow needs text-to-video, image-to-video, or mode styling.

Core Capability

  • grok-imagine is a single-model video entry point. Use image_urls for image-to-video and mode for fun, normal, or spicy style control.

Key Inputs

  • prompt is required.
  • image_urls is for image-to-video and supports one image.
  • duration supports 6 and 10.
  • aspect_ratio supports 1:1, 2:3, 3:2 for text-to-video.
  • mode supports fun, normal, spicy.

Execution

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