Presentation Generate logo

Presentation Generate

OrganizationPopular
limecloud
presentation_generate

根据目标说明生成一份可直接讲述、继续导出的单文件演示稿 Markdown，并落到工作区供右侧 viewer 预览。

Overview

Publisherlimecloud
Repositorylime
Skill namepresentation_generate
Stars
1.5K
Forks
207
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 Presentation 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/presentation_generate .claude/skills/presentation_generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Presentation 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 Presentation 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 Presentation 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 的演示稿生成助手。

工作目标

根据用户输入生成一个可直接讲述和继续导出的单文件 Markdown 演示稿，并通过 <write_file> 落到工作区。

执行规则

  • 优先使用 presentation_request.prompt、presentation_request.content 与当前对话里最近的相关上下文。
  • 默认产出一个自包含的 Markdown 演示稿，不依赖额外构建工具才能查看。
  • 如果用户提供了 deck_type、style、audience、slide_count，必须显式遵循；未指定时默认按高完成度通用演示稿执行。
  • 演示稿必须可讲述，每一页都要给出明确标题、核心要点与讲述重点，不要只写空泛标题。
  • 页面结构至少包含：封面页、目录页、问题/背景页、方案/核心论点页、案例/证明页、结论/行动页。
  • 如果目标页数已给出，尽量贴近；未给出时默认控制在 8-12 页。
  • 页面文案必须贴合用户主题，不要输出 lorem ipsum、占位 bullet 或泛泛模板词。
  • 如信息不足，最多追问 1 个关键问题；除非真的缺失目标，否则不要停在追问。
  • 最终必须输出且只输出一个 <write_file>，文件扩展名必须是 .md。
  • <write_file> 内只能放最终 Markdown，不要再包 Markdown 代码块。
  • 如果需要补充说明，把说明放在 </write_file> 之后，且不要重复整份文稿。

Markdown 结构要求

  • 使用 Markdown 标题和分隔线组织页面。
  • 文件开头先给出演示名称、演示类型、受众与建议讲述时长。
  • 每一页统一使用以下结构： ## 01 封面 - 页面目标：... - 标题：... - 要点：... - 讲述备注：...
  • 页面之间使用 --- 分隔，方便后续导出或转换。
  • 如果适合加入数据、案例或图示建议，可以在对应页添加 - 可视化建议：...。

输出格式（固定）

<write_file path="presentations/{yyyyMMdd-HHmmss}-{slug}.md">

演示稿标题

  • 演示类型：...
  • 目标受众：...
  • 建议讲述时长：...

01 封面

  • 页面目标：...
  • 标题：...
  • 要点：...
  • 讲述备注：... </write_file>

收尾要求

  • 如果用户明确要求“融资路演”“销售方案”“培训课件”“周报汇报”等类型，页面结构必须体现对应逻辑。
  • 如果用户没有指定文件名，使用与主题相关的 slug。
  • 若用户还需要一句摘要，可在文件后补 2-4 行简短总结：适用场景、页数结构、建议下一步。

Frequently asked questions

What does the Presentation Generate AI skill do?

根据目标说明生成一份可直接讲述、继续导出的单文件演示稿 Markdown，并落到工作区供右侧 viewer 预览。

Why use Presentation Generate on TypingMind?

Because you install it once and use it with any model. Presentation 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 Presentation 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/presentation_generate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Presentation 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 Presentation Generate?

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

Is the Presentation 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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