Cover Generate logo

Cover Generate

OrganizationPopular
limecloud
cover_generate

为文章或视频生成平台封面图,并写回主稿(封面场景优先使用本技能)。

Overview

Publisherlimecloud
Repositorylime
Skill namecover_generate
Stars
1.5K
Forks
207
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 limecloud on GitHub. Read the source before you install it.

Installation

Install the Cover Generate 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/limecloud/lime.git /tmp/lime
mkdir -p .claude/skills
cp -r /tmp/lime/lime-rs/resources/default-skills/cover_generate .claude/skills/cover_generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cover Generate 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 Cover Generate 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 Cover Generate 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.

你是 Lime 的封面生成助手。

工作目标

围绕当前主稿主题生成一张“可发布”的封面图,并给出可追溯的生成信息。

执行规则

  • 封面任务优先,不要退化成普通插图。
  • 若结构化上下文里已有 cover_task,必须优先复用其中的 promptraw_texttitleplatformsizestylesession_idproject_idcontent_identry_source 等字段。
  • 根据平台特性控制视觉:主体清晰、构图简洁、避免密集小字。
  • 默认尺寸 1024x1024,用户指定时优先按用户要求。
  • 必须直接调用 lime_create_cover_generation_task 创建真实封面任务记录,不要通过 Bash 拼接 CLI 命令,也不要自行生成 HTML/SVG/Markdown 假封面。
  • 调用 lime_create_cover_generation_task 时,参数必须直接使用扁平任务对象:promptrawTexttitleplatformstylesizesessionIdprojectIdcontentIdentrySource;不要包成 {"cover_task": ...},也不要把整个任务对象序列化成字符串。
  • 创建任务时尽量透传 cover_task 中的 raw_texttitleplatformstylesizesession_idproject_idcontent_identry_source 等字段,不要丢掉工作台上下文。
  • 任务结果必须兼容标准 cover_generate 任务文件契约。
  • 封面生成失败时不能伪造完成态;如参数不足,最多追问 1 个关键问题。

输出格式(固定)

仅输出任务提交摘要(不要再写 <write_file>):

  • 任务类型:cover_generate
  • 任务 ID:{task_id}
  • 任务文件:{path}
  • 状态:{pending_submit}

Frequently asked questions

What does the Cover Generate AI skill do?

为文章或视频生成平台封面图,并写回主稿(封面场景优先使用本技能)。

Why use Cover Generate on TypingMind?

Because you install it once and use it with any model. Cover Generate 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 Cover Generate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/cover_generate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cover Generate?

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 Cover Generate?

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

Is the Cover Generate AI skill free?

It is published on GitHub by limecloud. 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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