# Happyhorse By Acedatacloud

> Generate or edit HappyHorse (Happy Horse) videos through Ace Data Cloud, including first-frame an…

Generate or edit HappyHorse (Happy Horse) videos through Ace Data Cloud, including first-frame and reference-guided video; poll the same task for its result.

- Page: https://ss33.ai/skills/acedatacloud/happyhorse-by-acedatacloud-25417538467
- Publisher: acedatacloud
- Category: [Creative & Media](https://ss33.ai/skills/category/creative-and-media-0j3x01) › [Video](https://ss33.ai/skills/category/creative-and-media-0j3x01/video-yerjjv)
- License: Apache-2.0
- Source: https://github.com/acedatacloud/skills/blob/2b9b5f83fcadb0de42c77e70205a4a0be50a4984/platforms/amp/skills/happyhorse-by-acedatacloud/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/acedatacloud/happyhorse-by-acedatacloud-25417538467

# HappyHorse by Ace Data Cloud

Generate or edit HappyHorse (Happy Horse) videos through Ace Data Cloud, including first-frame and reference-guided video; poll the same task for its result.
This is an Ace Data Cloud integration, not an official HappyHorse or Amp plugin endorsement.

## Setup and tool scope

Requires Amp native Skill MCP support, an existing Amp login, and `ACEDATACLOUD_API_TOKEN` in the environment that starts Amp.

Read [README.md](README.md) for installation, illustrated API-key setup, and troubleshooting.
The sibling `mcp.json` connects only `happyhorse-ace` at `https://happyhorse.mcp.acedata.cloud/mcp` and limits tools to this service.
Reuse an existing matching connection; do not add a second server or alter unrelated settings.
Keep the API key in `ACEDATACLOUD_API_TOKEN`; never request it in the conversation, put it in a command argument, or print it.
Load this Skill to expose its MCP tools. Use `happyhorse_list_models` once to inspect the supported choices; this is informational and does not prove API permissions or balance.

## Generation and retrieval

1. Confirm the user wants this video operation and accepts its [current pricing](https://platform.acedata.cloud/models?utm_source=amp&utm_medium=integration&utm_campaign=evergreen&utm_content=happyhorse_amp_pricing), parameters and output count. Choose a currently supported model and parameters with the user; do not silently substitute models, providers, prices, or resolution tiers.
2. Call `happyhorse_generate_video` exactly once for that requested operation. Use an edit tool only when the user provides authorized reference media and asks to edit it.
3. Save the returned task ID. Call `happyhorse_get_task(task_id="<original task ID>")` to retrieve the same task after pending results, disconnects or timeouts. Never submit generation again merely to poll.
4. Require an explicit terminal success (`state=complete` with success, or the returned finished timestamp and successful response). Failure is terminal too. A pending task or an early media URL is not completion. Do not invent IDs, output links, media availability, completion or billing. Report the final status and returned media links; preserve upstream errors (including rate limit and moderation meaning).
5. On an uncertain submission, inspect its original task/request before any new paid request. A failed result is not permission to retry, change the model, or use a fallback.

Amp reasoning can have its own usage charge. Installation/tool discovery and API metadata are distinct from inference, generation, terminal media, and the account's usage record.