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Read Podcast Script Generator

Community
SpaceZephyr
read-podcast-script-generator

Transform structured podcast notes into engaging video scripts with a conversational, first-person broadcasting style. Use when user asks to "generate podcast script", "convert to broadcast style", "make video script", "rewrite for video", "口播脚本", "改成口播", or wants to turn podcast summaries into presenter-style content for short videos.

Overview

PublisherSpaceZephyr
Repositoryread-buddy
Skill nameread-podcast-script-generator
Stars
85
Forks
25
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by SpaceZephyr on GitHub. Read the source before you install it.

Installation

Install the Read Podcast Script Generator 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/SpaceZephyr/read-buddy/tree/main/read-podcast-script-generator
  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/SpaceZephyr/read-buddy.git /tmp/read-buddy
mkdir -p .claude/skills
cp -r /tmp/read-buddy/read-podcast-script-generator .claude/skills/read-podcast-script-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Read Podcast Script Generator 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 Read Podcast Script Generator 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 Read Podcast Script Generator 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.

Podcast Script Generator

Transform structured podcast notes into engaging, presenter-style video scripts.

When to Use

Use this skill when the user wants to:

  • Convert structured notes into presenter-style video scripts
  • Rewrite podcast summaries for short video content
  • Create conversational broadcast content from formal notes
  • Generate scripts with strong personal voice and recommendations

Workflow

Step 1: Get Source Material

Ask the user for the content source:

  1. Direct paste: User pastes text directly
  2. Daily podcast file: File from /Users/ugreen/Documents/obsidian/每日播客/
  3. Other file path: Any other markdown file

If user provides a file path, read it with Read tool.

Step 2: Analyze Content Structure

Identify:

  • Title & Guest: Podcast name and main speaker
  • Core Theme: Main topic discussed
  • Key Points: Numbered list of insights (usually 3-12 points)
  • Highlights: Dialogue excerpts or quotes
  • Data/Examples: Statistics, case studies, comparisons

Step 3: Apply Broadcasting Style

Read references/style-reference.md and references/example-conversions.md to internalize the target style.

Opening (Varied, Natural)

Avoid the fixed template. Instead, choose from these natural openings based on content:

  • "今天要给你推荐一期播客..."
  • "最近听到一期特别有意思的节目..."
  • "这期是我最近听到的对[领域]非共识观点最多的一期..."
  • "这个月听到的最有收获的一期播客..."
  • "如果你关注[话题],这期播客你一定要听..."

Then introduce the guest naturally:

  • "嘉宾是[名字],[一句话身份]..."
  • "介绍一下[名字],[成就/背景]..."

Add a hook specific to the content:

  • "她几个月前演讲说'不要相信设计流程',3个月后自己就觉得过时了..."
  • "他可能是华尔街唯一一个既能看懂财务报表,又能看懂火箭发动机的人..."
Content Transformation Rules

Rule 1: No "发言人" markers

  • Direct output without speaker labels
  • Use paragraph breaks to indicate natural pauses

Rule 2: Banned sentence patterns

DO NOT use these rigid contrasting patterns:

  • ❌ "不是...而是..."
  • ❌ "是...不是..."
  • ❌ "被...倒逼着..."
  • ❌ "从...变成...,从...变成..." (overly structured parallel)

Instead, express contrast naturally:

  • ✅ "设计不是主动想变,是工程端的变化逼着你必须变"
  • ✅ "以前大家把这套流程当真理,但现在基本已经死了"
  • ✅ "工程师已经转向命令行和agent模式,而设计师开始用IDE了"

Rule 3: Use conversational connectors SPARINGLY

Limit these phrases (max 1-2 per section):

  • "说白了" → use "意思是" or just omit
  • "这什么意思呢" → use "为什么?" or just explain directly
  • "所以你看" → use "结果就是" or just show the result

Rule 4: Natural transitions

Instead of rigid structure markers, use:

  • "第一个让我意外的点是..."
  • "还有一个特别反直觉的发现..."
  • "这里有个特别有意思的地方..."
  • "更夸张的是..."
  • "说到这个,就不得不提..."

Rule 5: Personal commentary

Insert reactions naturally:

  • "我觉得这个点特别值得思考"
  • "特别反直觉"
  • "特别有意思"
  • "让我特别意外"

Rule 6: Explain concepts conversationally

When explaining complex ideas:

  • Start with the problem or context
  • Walk through the logic step by step
  • Use "打个比方" for analogies when needed
  • End with "就是说" or just the conclusion
Closing

End naturally:

  • "好了,今天就聊到这..."
  • "今天就分享到这里..."
  • "今天就聊到这,如果你也[相关话题],强烈建议去听听完整播客..."
  • "我是[昵称],下次见"

Step 4: Output Format

Produce:

  1. Full script without speaker markers, with natural paragraph breaks
  2. Estimated duration (250 words ≈ 1 minute)
  3. 3-5 suggested titles for the video
  4. Recommended hashtags/topics

Style Guidelines

Paragraph Structure

  • Each paragraph: 2-4 short sentences
  • Use empty lines between paragraphs for pacing
  • One idea per paragraph
  • Key data/quotes can stand alone

Tone

  • Conversational, like talking to a friend
  • First person "我" perspective
  • Natural enthusiasm without exaggeration
  • Occasional rhetorical questions

Language

  • Avoid written-style transitions
  • Prefer short sentences
  • Use spoken Chinese patterns
  • Keep technical terms but explain them naturally

Reference Materials

  • references/style-reference.md - Full example of target style
  • references/example-conversions.md - Before/after conversion examples with techniques

Constraints

  1. Preserve all factual information - change style, not substance
  2. Maintain accuracy of data, quotes, and attributions
  3. Target length: 750-1500 words (3-6 minutes of video)
  4. If source is too long, ask user which points to prioritize
  5. NO "发言人" markers
  6. NO rigid "不是...而是" patterns
  7. Use "说白了" max 1-2 times in entire script

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 Read Podcast Script Generator AI skill do?

Transform structured podcast notes into engaging video scripts with a conversational, first-person broadcasting style. Use when user asks to "generate podcast script", "convert to broadcast style", "make video script", "rewrite for video", "口播脚本", "改成口播", or wants to turn podcast summaries into presenter-style content for short videos.

Why use Read Podcast Script Generator on TypingMind?

Because you install it once and use it with any model. Read Podcast Script Generator 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 Read Podcast Script Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/read-buddy/tree/main/read-podcast-script-generator. 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 Read Podcast Script Generator?

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 Read Podcast Script Generator?

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

Is the Read Podcast Script Generator AI skill free?

It is published on GitHub by SpaceZephyr. 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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