Skill Carousel Planner logo

Skill Carousel Planner

OrganizationPopular
ZJU-REAL
skill-carousel-planner

规划轮播图/多图笔记的分页结构:封面 Hook、内容节奏、每页文案和视觉方向、CTA 设计,附互动评分。 当用户说"轮播图策划""多图笔记""图集结构""分页设计""九宫格怎么排""每页写什么""carousel"时使用。 本 SKILL 出分页结构与文案规划(策划层);实际渲染卡片图用 card-xiaohongshu / xhs-note-creator。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-carousel-planner
Stars
1.2K
Forks
175
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Carousel Planner 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.
  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/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-carousel-planner .claude/skills/skill-carousel-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Carousel Planner 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 Skill Carousel Planner 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 Skill Carousel Planner 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.

轮播图规划

规划多图笔记/轮播图的分页结构:封面 Hook、内容节奏、每页文案和视觉方向、CTA 设计,附互动潜力评分。

加载后立即开始规划流程,不做摘要或等待确认。

关键参考文件:

  • references/format-specs.md -- 尺寸规范、页数限制、文字大小
  • references/hook-library.md -- 经过验证的封面 Hook 公式及互动数据
  • references/scoring-system.md -- 互动评分维度与阈值

输入

用户 prompt 中提供的主题和目标。可以是关键词、一句话描述,或详细 brief。

输出

结构化轮播图规划文档,包含:封面文案、逐页分解、配文、评分卡、制作备注。

保存到 outputs/主题名/carousel-brief.md

执行步骤

第一步:确认上下文

  1. 从用户 prompt 中提取主题和目标(教育、转化、建立权威、娱乐)。
  2. 识别目标受众。
  3. 加载所有关键参考文件。
  4. 查阅 references/hook-library.md,找到与主题最匹配的高互动 Hook 类型。

第二步:封面页 Hook

封面页遵循与短视频开头相同的规则:必须在 1 秒内打断滑动。

封面 Hook 规则
  • 封面文字不超过 12 个字
  • 必须制造好奇缺口或情绪触发
  • 使用 references/hook-library.md 中经过验证的 6 个公式:
    • 反常识: "别再XX了"
    • 数字清单: "5 个毁掉XX的错误"
    • 对比冲击: 前后对比的视觉悬念
    • 直击痛点: "为什么你XX总是失败"(陈述式,不加问号)
    • 颠覆声明: "这会改变你的一切"
    • 身份认同: "XX 人必看"(收藏率 + 分享率高)
  • 字体必须大、加粗,在缩略图尺寸下也清晰可读
  • 封面不放 logo 或品牌标识(会削弱好奇心)

记录选定的 Hook 公式和封面文案。

第三步:分页结构

Hook > 内容铺垫 > 揭晓 > 行动号召 弧线编排:

页码角色规则
1Hook / 封面不超过 12 字,好奇缺口,见第二步
2-3问题 / 铺垫建立痛点或抛出问题
4-7内容 / 价值每页一个要点,页面文字不超过 20 字
8-9揭晓 / 收获交付核心洞察或转变
末页行动号召收藏/分享/关注引导
每页内容规则
  • 每页只讲一个点。 需要逗号就拆页。
  • 每页文字不超过 20 字(文字叠层)。越少越好。
  • 视觉统一: 全篇使用相同的背景风格、字体和配色。
  • 阅读动线: 从上到下,从左到右。不散乱排布。
  • 翻页动力: 每页必须制造让读者翻到下一页的理由。

逐页输出:

  1. 页码
  2. 页面文案(文字叠层,不超过 20 字)
  3. 视觉描述
  4. 翻页动力说明(读者为什么会翻到下一页)

第四步:末页行动号召

末页决定帖子能否被收藏和转发。根据内容类型选择:

CTA 类型适用场景示例
收藏引导干货教程类"收藏备用" / "先码住"
分享引导共鸣实用类"@你身边的XX" / "转给需要的人"
关注引导系列内容"关注看更多" / "下期更新XX"
评论引导观点讨论类"你是哪种?评论区告诉我"
私信引导引流转化类"评论区回复'方案'领取完整版"

CTA 必须具体。禁止使用空泛的"点击主页"作为主要 CTA。

第五步:配文

撰写与轮播图互补(不重复)的配文:

  • 第一句:独立于轮播图也能打的 Hook
  • 正文:展开轮播图中的某一点,加入个人视角
  • 结尾:与末页 CTA 呼应
  • 话题标签:3-5 个垂直标签,禁用泛标签(#生活 #日常 这类无效)
  • 配文长度:300-800 字(小红书最佳区间)

第六步:互动评分

使用 references/scoring-system.md 中的标准评分:

维度权重评分 (1-10)
Hook 强度25%
翻页节奏 / 翻页动力20%
价值密度20%
CTA 有效性15%
视觉统一性10%
配文质量10%

最低通过分:7.0 加权平均。

低于 7.0 时,定位最弱维度并修改后重新评分。

第七步:输出

将以下内容保存到 outputs/主题名/carousel-brief.md

## 轮播图规划

**主题:** [主题]
**目标:** [目标]
**页数:** [数量]
**Hook 公式:** [来自 hook-library.md 的公式名]
**评分:** [X.X / 10]

### 逐页分解

#### 第 1 页(封面)
- 文案:"[封面文案]"
- 视觉:[描述]

#### 第 2 页
- 文案:"[文案]"
- 视觉:[描述]
- 翻页动力:[为什么读者会翻到下一页]

...

### 配文
[完整配文]

### 制作备注
- [设计说明、素材需求、字体/配色建议]

Profile 感知

有 Profile

  • 读取 platform 字段,按平台调整尺寸和排版规范(小红书 3:4 / 1:1;Instagram 4:5 / 1:1 为海外可选)
  • 读取 tone / voice 字段,调整封面文案和配文的语气风格
  • 读取 audience 字段,确保 Hook 和内容切入点与目标受众匹配
  • 读取 positioning 字段,确保内容围绕账号定位展开
  • 读取 visual_style 字段(如有),应用到视觉描述中

无 Profile

  • 退回通用模式,默认小红书 3:4 尺寸
  • 使用中性语气生成
  • 在输出末尾附注:"如提供账号 Profile,可适配平台风格和视觉调性"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Carousel Planner AI skill do?

规划轮播图/多图笔记的分页结构:封面 Hook、内容节奏、每页文案和视觉方向、CTA 设计,附互动评分。 当用户说"轮播图策划""多图笔记""图集结构""分页设计""九宫格怎么排""每页写什么""carousel"时使用。 本 SKILL 出分页结构与文案规划(策划层);实际渲染卡片图用 card-xiaohongshu / xhs-note-creator。

Why use Skill Carousel Planner on TypingMind?

Because you install it once and use it with any model. Skill Carousel Planner 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 Skill Carousel Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-carousel-planner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Carousel Planner?

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 Skill Carousel Planner?

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

Is the Skill Carousel Planner AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 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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