Article To Wechat Cover Ark Plan logo

Article To Wechat Cover Ark Plan

Community
dracohu2025-cloud
article-to-wechat-cover-ark-plan

从飞书文档提取主题,调用 Ark Plan 原生 Seedream 生成 2.35:1 公众号封面图,支持自动插入文档或上传公众号

Overview

Publisherdracohu2025-cloud
Repositorydraco-skills-collection
Skill namearticle-to-wechat-cover-ark-plan
Stars
228
Forks
37
Bundled files
Instructions only
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 dracohu2025-cloud on GitHub. Read the source before you install it.

Installation

Install the Article To Wechat Cover Ark Plan 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/dracohu2025-cloud/draco-skills-collection/tree/main/Ark%20Agent%20Plan%20Version/article-to-wechat-cover
  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.

Use it in TypingMind

Enable Article To Wechat Cover Ark Plan 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 Article To Wechat Cover Ark Plan 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 Article To Wechat Cover Ark Plan 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.

飞书文档 → 公众号封面图(Ark Plan 专用)

触发条件

当用户说:

  • "给这篇文档生成封面"
  • "生成公众号封面"
  • "文章封面图"
  • "帮我做个封面"

前置检查

  • ✅ 用户提供了飞书文档链接
  • ✅ 确认是微信公众号封面(2.35:1 比例)
  • ✅ Seedream 服务可用

执行步骤

1. 读取飞书文档

调用 feishu.fetch_doc 工具读取文档内容:

  • 标题
  • 摘要/前言
  • 核心关键词
  • 文章风格(技术/商业/生活/教育等)

2. 分析并生成 Prompt

基于文档内容,生成 Seedream prompt:

# 角色
你是专业的公众号封面设计师,精通 2.35:1 比例的封面设计

# 输入信息
文章标题:{title}
文章主题:{topic}
核心关键词:{keywords}
文章风格:{style}

# 输出要求
1. 生成一张 2.35:1 比例的公众号封面图
2. 风格现代简约,有视觉冲击力
3. 顶部 20% 区域留白(用于放置文章标题)
4. 用图形符号表达主题,避免过多文字
5. 色彩搭配专业,符合公众号审美

# 设计规范
- 尺寸:1280x544 像素(2.35:1)
- 主色调:与文章主题匹配
- 视觉焦点:画面中心偏下位置
- 标题区域:顶部 25% 区域保持简洁

3. 调用 Seedream 生图

使用 Ark Plan 原生能力:

  • 工具:byted-seedream-image-generate
  • 参数:
    • prompt: 上面生成的设计 prompt
    • width: 1280
    • height: 544
    • style: 根据文章类型选择

4. 后处理(可选)

根据用户需求:

  • 插入飞书文档:调用飞书 API 在文档顶部插入图片
  • 上传公众号:调用微信公众平台 API 上传到素材库
  • 下载本地:保存到指定路径

输出模板

✅ 公众号封面图已生成

📄 文章:{文章标题}
🎨 设计关键词:{关键词1, 关键词2, 关键词3}
📐 尺寸:1280×544 (2.35:1)

[图片预览]

下一步操作:
- [ ] 插入到飞书文档顶部
- [ ] 上传到公众号素材库
- [ ] 重新生成(调整风格)
- [ ] 下载到本地

常见优化方向

文章类型推荐风格配色方案
技术/AI科技感、未来风蓝、紫、渐变
商业/职场专业、简约深蓝、灰、金
教育/知识清新、明亮绿、橙、白
生活/人文温暖、有质感暖色调、自然色
新闻/资讯冲击力、简洁黑、白、红

Frequently asked questions

What does the Article To Wechat Cover Ark Plan AI skill do?

从飞书文档提取主题,调用 Ark Plan 原生 Seedream 生成 2.35:1 公众号封面图,支持自动插入文档或上传公众号

Why use Article To Wechat Cover Ark Plan on TypingMind?

Because you install it once and use it with any model. Article To Wechat Cover Ark Plan 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 Article To Wechat Cover Ark Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/Ark%20Agent%20Plan%20Version/article-to-wechat-cover. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Article To Wechat Cover Ark Plan?

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 Article To Wechat Cover Ark Plan?

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

Is the Article To Wechat Cover Ark Plan AI skill free?

It is published on GitHub by dracohu2025-cloud. Check the repository for licensing terms. 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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