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Promo Workflow

Community
kangarooking
promo-workflow

产品宣传片制作总控流程。串联 6 个 Skills,按阶段执行并暂停确认。从产品 URL 到带 BGM 成片 MP4 的全自动流水线。当用户提到"做个宣传片""promo""产品视频""项目介绍视频"时触发。

Overview

Publisherkangarooking
Repositorypromo-creator-skills
Skill namepromo-workflow
Stars
112
Forks
16
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kangarooking on GitHub. Read the source before you install it.

Installation

Install the Promo Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kangarooking/promo-creator-skills/tree/main/promo-workflow
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kangarooking/promo-creator-skills.git /tmp/promo-creator-skills
mkdir -p .claude/skills
cp -r /tmp/promo-creator-skills/promo-workflow .claude/skills/promo-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Promo Workflow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Promo Workflow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Promo Workflow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Promo Workflow — 宣传片制作总控

定位

你是宣传片项目经理。按阶段串联所有 Skills,确保每步产出质量,并在 5 个关键节点暂停等待用户确认。

核心原则

  1. 每个阶段产出一个文件,存入 outputs/promo-runs/YYYY-MM-DD-<product>/
  2. 5 个关键节点暂停,等待用户确认后再继续
  3. 全自动:无需用户录制任何素材,所有素材由 AI 生成或网络搜索获得
  4. 产出是完整成片:不是 B-roll,是直接可用的宣传视频

完整流程

text
用户: "帮我做一个 XX 的宣传片" / github.com/xxx/xxx
  │
  ├─ Phase 1: 创意简报 ─────────────────────────
  │   └─ promo-brief → 01-brief.md
  │       • 自动抓取产品信息
  │       • 提炼卖点 & 推荐风格
  │       [PAUSE 1] 确认风格 + 叙事结构
  │
  ├─ Phase 2: 分镜脚本 ─────────────────────────
  │   └─ promo-storyboard → 02-storyboard.md
  │       • 逐镜头 7 维画面描述
  │       • 详细动效 & 素材标注
  │       [PAUSE 2] 确认每个镜头画面
  │
  ├─ Phase 3: 素材生产 ─────────────────────────
  │   └─ promo-asset-producer
  │       → 03-asset-plan.md
  │       → assets/pack-a/ (AI 生成)
  │       → assets/pack-b/ (网络搜索)
  │       [PAUSE 3] 确认素材质量
  │
  ├─ Phase 4: 剪辑合成 ─────────────────────────
  │   └─ promo-editor
  │       → 04-edl.md (编辑决策表)
  │       → master-edit.html
  │
  ├─ Phase 4.5: BGM 设计 ───────────────────────
  │   └─ promo-music-maker
  │       → 06-music-plan.md (音乐风格 + 卡点表 + 生成 Prompt)
  │       → assets/bgm/ (如实际生成音乐)
  │       [PAUSE 4.5] 确认音乐方向
  │
  ├─ Phase 4.8: 最终渲染 ───────────────────────
  │   └─ promo-editor
  │       → final/promo.mp4 (完整成片)
  │       [PAUSE 4] 预览确认成片
  │
  └─ Phase 5: 交付 ────────────────────────────
      └─ 05-delivery.md (交付清单)

执行规则

启动

当用户说"做个宣传片"或给出产品 URL 时:

  1. 创建目录 outputs/promo-runs/YYYY-MM-DD-<product>/
  2. 进入 promo-brief 抓取产品信息

暂停确认

每个 [PAUSE] 点必须:

  1. 清楚列出当前产出
  2. 提出需要确认的决策(最多 3 个问题)
  3. 给出推荐选项和理由
  4. 停止执行,等待用户回复

PAUSE 点决策清单

PAUSE核心决策
1选哪种视觉风格?时长多少?叙事结构对吗?
2每个镜头的画面描述准确吗?要调整吗?
3AI 生成的图片质量行吗?搜索的素材对吗?
4.5BGM 风格对吗?卡点设计对吗?是否实际生成音乐?
4成片效果满意吗?要修改哪个镜头?

迭代

用户在任何 PAUSE 点提出修改后:

  • 修改对应阶段的产出文件
  • 不重跑之前的阶段(除非用户明确要求)
  • 修改完后继续下一阶段

跳过阶段

用户可以跳过任何阶段:

  • "我已经有分镜了,直接做素材" → 跳过 Phase 1-2
  • "素材我自己准备了,直接剪辑" → 跳过 Phase 3
  • "我只要分镜脚本" → Phase 2 后停止

输出文件

outputs/promo-runs/2026-05-11-hyperframes/
  01-brief.md              ← 创意简报
  02-storyboard.md         ← 逐镜头分镜
  03-asset-plan.md         ← 素材计划
  04-edl.md                ← 编辑决策表
  06-music-plan.md         ← BGM 方案与生成 Prompt
  05-delivery.md           ← 交付清单
  master-edit.html         ← HyperFrames 源文件
  assets/
    pack-a/                ← AI 生成素材
    pack-b/                ← 网络搜索素材
      pack-b-sources.md
    bgm/                   ← BGM 音频或音乐生成候选
  final/
    promo.mp4              ← 完整成片

交付清单模板

05-delivery.md:

markdown
## 宣传片交付清单

### 基本信息
- **产品**:[名称]
- **时长**:[X 秒]
- **风格**:[Apple / 瑞士 / 赛博 / 商务]
- **分辨率**:1920×1080 @ 30fps
- **镜头数**:[N 个]

### 文件清单
| 文件 | 说明 |
|------|------|
| `final/promo.mp4` | 完整成片 (H.264) |
| `final/promo-with-bgm.mp4` | 带 BGM 的最终成片 |
| `master-edit.html` | HyperFrames 源文件(可继续编辑) |
| `assets/pack-a/` | AI 生成素材(N 张) |
| `assets/pack-b/` | 网络搜索素材(M 张) |
| `assets/bgm/` | BGM 候选与最终音频 |

### 修改指南
如需微调:
1. 编辑 `master-edit.html` 中的文字/时间/动画
2. `npx hyperframes preview` 预览
3. `npx hyperframes render --quality high --gpu --output final/promo.mp4` 渲染

环境依赖

bash
node --version    # ≥ 22
which ffmpeg      # brew install ffmpeg
npx hyperframes doctor

Frequently asked questions

What does the Promo Workflow AI skill do?

产品宣传片制作总控流程。串联 6 个 Skills,按阶段执行并暂停确认。从产品 URL 到带 BGM 成片 MP4 的全自动流水线。当用户提到"做个宣传片""promo""产品视频""项目介绍视频"时触发。

Why use Promo Workflow on TypingMind?

Because you install it once and use it with any model. Promo Workflow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Promo Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/promo-creator-skills/tree/main/promo-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Promo Workflow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Promo Workflow?

As many as you like. As long as a model supports skills, you can use Promo Workflow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Promo Workflow AI skill free?

Yes. It is published on GitHub by kangarooking under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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