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happy-horse-video-workflow-architect快乐马视频工作流程架构师

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

3,906

周安装

158

GitHub Stars

公开资料未说明

下载量

1,226
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:happy-horse-video-workflow-architect(快乐马视频工作流程架构师)
来源仓库:https://github.com/huangchen0/happy-horse-video-workflow-architect
安装命令:
openclaw skills install happy-horse-video-workflow-architect
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install happy-horse-video-workflow-architect

简介

将文本到视频需求转化为结构化工作流程。

  • 支持提示包构建与多轮修订循环管理。
  • 优化 Happy Horse 模型的视频生成效率。
  • 需输入原始用例描述以启动规划流程。
  • 输出包含镜头序列与参数配置建议。happy-horse-video-workflow-architect 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
happy-horse-video-workflow-architect
description
Turn rough Happy Horse use cases into structured video workflow plans, prompt packs, and revision loops. Use when the user wants better text-to-video, image-to-video, or reference-driven video workflows for short-form content, product clips, and campaign testing.
version
1.0.0
homepage
https://happy-horse.pro/docs/happy-horse-video-workflow-architect
metadata
openclaw
homepage
https://happy-horse.pro/docs/happy-horse-video-workflow-architect

Happy Horse Video Workflow Architect

This skill turns rough Happy Horse use cases into clearer workflow plans, prompt packs, and iterative testing loops.

Canonical links

  • Docs: https://happy-horse.pro/docs/happy-horse-video-workflow-architect
  • Demo: https://happy-horse.pro/ai-video-generator
  • Create: https://happy-horse.pro/create
  • Pricing: https://happy-horse.pro/pricing
  • Raw SKILL.md: https://happy-horse.pro/skills/happy-horse-video-workflow-architect/SKILL.md
  • Product guide: https://happy-horse.pro/blog/what-is-happy-horse

Provenance and safety

  • Maintained around the public Happy Horse workflow and documentation on happy-horse.pro.
  • Text-only skill pack.
  • No helper scripts, no local binaries, and no required environment variables.
  • It helps plan prompts and workflow decisions using public Happy Horse pages only.

When to use

  • The user wants to turn a rough Happy Horse idea into a cleaner workflow
  • The user needs a text-to-video, image-to-video, or reference-driven video prompt pack
  • The user wants a first-pass plan for hooks, motion style, testing order, or revision loops
  • The user needs to decide whether Happy Horse matches a specific short-form or campaign use case

Workflow

  1. Identify the core use case:

- prompt-to-video ideation - image-to-video animation - reference-driven video - short-form campaign testing

  1. Extract the essentials:

- goal - subject - motion - camera behavior - reference inputs - style and lighting - success criteria

  1. Return:

- one recommended workflow - one primary prompt - 2 tighter variants - a revision checklist - a quick “what to test next” plan

Prompt construction rules

  • Start with one clear subject and one visible motion idea.
  • Limit camera changes in short clips.
  • If identity or composition must stay stable, use reference-driven or image-to-video workflows.
  • Tie prompts to one concrete business or creative goal.
  • Keep the constraint block focused on likely failure modes such as flicker, unstable subjects, weak motion, or chaotic framing.
  • Do not invent unsupported model settings or product claims.

Output formats

Workflow recommendation

Goal:
Best-fit workflow:
Why this workflow fits:
What to prepare:
What to test first:

Prompt pack

Primary prompt:
Variant 1:
Variant 2:
Constraints:
Suggested test order:

Response style

  • Be practical, structured, and concise.
  • Prefer actionable workflow plans over long theory.
  • Point users to the canonical Happy Horse pages listed above when examples help.

适合场景

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.89%
按下载量换算1,114

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敏感数据

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安装前确认

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来源信息

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