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Report To Ppt

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stophobia
report-to-ppt

将 Markdown 格式的报告自动转换为 PPT 演示文稿。智能提取报告中的标题、关键信息、图表描述,生成结构清晰的幻灯片。适用于调研报告、咨询报告、市场分析等文档的快速 PPT 化。触发条件:用户提及"报告转PPT"、"Markdown转PPT"、"生成演示文稿"、"做PPT"等关键词,且已有 Markdown 报告文件。

Overview

Publisherstophobia
Repositorydeerflow2.0-enhanced
Skill namereport-to-ppt
Stars
824
Forks
154
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 stophobia on GitHub. Read the source before you install it.

Installation

Install the Report To Ppt 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/stophobia/deerflow2.0-enhanced/tree/main/skills/public/report-to-ppt
  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/stophobia/deerflow2.0-enhanced.git /tmp/deerflow2.0-enhanced
mkdir -p .claude/skills
cp -r /tmp/deerflow2.0-enhanced/skills/public/report-to-ppt .claude/skills/report-to-ppt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Report To Ppt 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 Report To Ppt 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 Report To Ppt 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.

报告转 PPT 技能 (Report to PPT)

将 Markdown 格式的专业报告转换为精美的 PPT 演示文稿。

概述

本技能将已有的 Markdown 报告智能转换为 PPT:

  • 自动提取标题层级结构
  • 提取关键信息和数据点
  • 识别图表并生成描述
  • 保持逻辑连贯性
  • 生成视觉精美的幻灯片

使用场景

当用户提及以下内容时激活:

  • "报告转PPT"
  • "Markdown转PPT"
  • "生成演示文稿"
  • "做成PPT"
  • "帮我做presentation"
  • "把报告整理成PPT"

前置条件:

  • 用户已有 Markdown 格式的报告文件
  • 文件位于 /mnt/user-data/outputs/ 或用户上传

核心能力

1. 文档结构解析

  • 识别多级标题(H1-H3)
  • 提取段落关键句
  • 识别列表内容
  • 提取表格数据
  • 识别图表引用

2. 幻灯片规划

  • 评估内容长度
  • 智能分页策略
  • 逻辑流程设计
  • 过渡动画设计

3. 内容提取

  • 核心观点提炼
  • 数据点提取
  • 关键词识别
  • 图表 alt 文本
  • 引用提取

4. PPT 生成

  • 调用 ppt-generation 技能
  • 自动配图建议
  • 专业排版设计
  • 品牌视觉一致

工作流程

Step 1: 确认报告文件

  1. 查找用户的 Markdown 报告文件
  2. 确认文件位置:/mnt/user-data/outputs/ 或用户上传
  3. 读取并理解报告结构

Step 2: 内容规划

基于报告结构规划幻灯片:

标题页 → 执行摘要 → 目录 → 
各章节要点 → 数据/图表 → 
总结 → 问答页

Step 3: 内容提取与精简

对每个部分提取:

  • 核心观点(每页1-3个)
  • 关键数据(可视化优先)
  • 支撑要点(每点1行)
  • 引用来源(如有)

Step 4: PPT 生成

使用 ppt-generation 技能生成 PPT:

  • 为每页生成描述性提示词
  • 选择合适的视觉风格
  • 调用图片生成
  • 合成 PPT 文件

Step 5: 输出与分享

  • 提供 PPT 文件下载
  • 询问是否需要调整

幻灯片设计原则

内容精简

  • 每页不超过 6 个要点
  • 每点不超过 1 行(15 字以内)
  • 核心数据优先展示
  • 复杂内容拆分多页

视觉层次

  • 标题:简洁有力
  • 副标题:补充说明
  • 正文:支撑要点
  • 脚注:数据来源

风格统一

  • 整份 PPT 风格一致
  • 配色方案统一
  • 字体层级清晰
  • 留白适当

报告类型适配

调研报告

封面 → 目录 → 调研背景 → 
调研方法 → 核心发现(多页)→ 
数据分析 → 结论建议 → 附录

咨询报告

封面 → 目录 → 执行摘要 → 
企业概况 → 分析框架 → 
核心洞察(多页)→ 
战略建议 → 实施路径 → 风险提示

市场分析

封面 → 目录 → 市场概览 → 
市场规模 → 竞争格局 → 
用户画像 → 趋势洞察 → 
机会与建议 → 附录

与 ppt-generation 的关系

本技能是 ppt-generation 的上层包装器:

  • ppt-generation:通用的 PPT 生成
  • report-to-ppt:专门针对 Markdown 报告优化

使用方式:

bash
# 间接调用(推荐)
用户请求 → report-to-ppt 解析报告 → 
  生成 PPT 提示词 → ppt-generation 生成 PPT

# 直接调用
用户直接请求特定风格PPT → ppt-generation

输入要求

必需的

  • Markdown 格式报告文件
  • 文件路径或内容

可选的

  • 目标受众(管理层/技术团队/投资人)
  • 演示时长(5/10/15/30分钟)
  • 特殊强调内容
  • 品牌/配色偏好

输出

PPT 文件

  • 格式:PPTX
  • 命名:原报告名_演示版.pptx
  • 位置:/mnt/user-data/outputs/

幻灯片数量

根据报告长度智能规划:

  • 短报告(<3000字):8-12页
  • 中等报告(3000-8000字):15-25页
  • 长报告(>8000字):30页以上

使用工具

  • read - 读取 Markdown 报告
  • ppt-generation - 生成 PPT(内部调用)
  • message - 分享文件给用户

注意事项

  1. 保持原有逻辑 - 不改变报告核心观点
  2. 精简为原则 - PPT 是辅助演示,非照搬报告
  3. 图片优先 - 能用图不用表,能用表不用文字
  4. 来源标注 - 数据来源在脚注标注
  5. 检查完整性 - 确保关键信息不遗漏

质量检查

生成 PPT 前检查:

  • 报告结构清晰
  • 核心观点完整
  • 数据可视化方案确定
  • 页数规划合理
  • 风格符合场景

生成 PPT 后检查:

  • 内容无遗漏
  • 逻辑连贯
  • 文字无误
  • 图片加载正常
  • 格式兼容

Frequently asked questions

What does the Report To Ppt AI skill do?

将 Markdown 格式的报告自动转换为 PPT 演示文稿。智能提取报告中的标题、关键信息、图表描述,生成结构清晰的幻灯片。适用于调研报告、咨询报告、市场分析等文档的快速 PPT 化。触发条件:用户提及"报告转PPT"、"Markdown转PPT"、"生成演示文稿"、"做PPT"等关键词,且已有 Markdown 报告文件。

Why use Report To Ppt on TypingMind?

Because you install it once and use it with any model. Report To Ppt 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 Report To Ppt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/stophobia/deerflow2.0-enhanced/tree/main/skills/public/report-to-ppt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Report To Ppt?

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 Report To Ppt?

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

Is the Report To Ppt AI skill free?

Yes. It is published on GitHub by stophobia 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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