MoneyPrinterTurbo Video Generator
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APPID 和 ACCESSKEY。支持 mp3/oggopus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill…
Install Podcast Generator
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install staruhub/ClaudeSkills podcast-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .claude/skills/podcast-generator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .claude/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install staruhub/ClaudeSkills podcast-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .agents/skills/podcast-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .agents/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install staruhub/ClaudeSkills podcast-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .cursor/skills/podcast-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .cursor/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/staruhub/ClaudeSkills.git --path lab/Geek-skills-podcast-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install staruhub/ClaudeSkills podcast-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .gemini/skills/podcast-generator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .gemini/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install staruhub/ClaudeSkills podcast-generatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .github/skills/podcast-generator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .github/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add staruhub/ClaudeSkills --skill podcast-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install staruhub/ClaudeSkills podcast-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/lab/Geek-skills-podcast-generator .opencode/skills/podcast-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "podcast-generator" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-podcast-generator into .opencode/skills/podcast-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podcast-generator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
podcast-generator- GitHub stars
- 728
- Token cost
- ~475 tokens
- SKILL.md length
- 93 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- MIT
At a glance
用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APPID 和 ACCESSKEY。支持 mp3/oggopus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill…
- Works in 3 steps: 准备输入 → 生成 → 交付
- Tasks that involve Text to speech and voice
- SKILL.md covers 验收标准（每次生成完成前自查）, 不做什么, 工作流程 and 已知陷阱, plus 2 more sections
- Runs Python scripts from its folder; calls python and pip; needs ACCESS_KEY and VOLC_ACCESS_KEY
What it does
Podcast Generator is an agent skill from staruhub/ClaudeSkills. 用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APPID 和 ACCESSKEY。支持 mp3/oggopus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill 产出文本再来）。
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/api_reference.md` and `scripts/generate_podcast.py`).
It sits in Media & Creative, covering Text to speech and voice. The repository describes itself as: 13 curated Agent Skills for research, product decisions, decks, publishing, audits, and more — portable across skills-compatible agents. The licence is MIT.
When your agent uses it
- Tasks that involve Text to speech and voice
Example prompts
- “/podcast-generator”
Requirements
- Python 3
- A credential in ACCESS_KEY
- A credential in VOLC_ACCESS_KEY
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 66e02d2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ACCESS_KEYVOLC_ACCESS_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Podcast Generator loads about 475 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 93 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from staruhub/ClaudeSkills at commit 66e02d2, republished under its MIT licence (© staruhub). 93 words, ~475 tokens.
Download SKILL.mdSave it as
.claude/skills/podcast-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- podcast-generator
- description
- 用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APP_ID 和 ACCESS_KEY。支持 mp3/ogg_opus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill 产出文本再来）。
- version
- 1.1.0
播客生成器（火山引擎双人对话）
把中文文本变成双人对话播客音频，接口封装在 scripts/generate_podcast.py。
验收标准（每次生成完成前自查）
- 音频文件已落盘，把实际路径与文件大小回报用户
- 输入文本 ≤25,000 字符（超长必须先与用户确认拆分方案，不能让模型静默截断）
- 生成中断时使用了 retry_info 续传而不是从头重来
- 参数选择有依据：分发用 mp3，后期加工用 pcm；教学内容语速 -20 左右
- 凭证缺失时未硬试：告知用户去火山引擎控制台（speech/service/10028）获取
不做什么
- 不写播客文稿——输入文本的质量是上游任务（文稿创作找写作类 skill）
- 不做单人朗读、配音、音效制作
- 不在输出里回显用户的 ACCESS_KEY
工作流程
1. 准备输入
必需：中文文本（≤25k 字符）+ APP_ID + ACCESS_KEY（无则告知获取方式后停止）。 可选：格式（默认 mp3）/ 采样率（默认 24000）/ 语速（-50~100，0=正常，100=2 倍速）/ 音色 / 开场音乐（默认关）。
最佳文本长度 500-3000 字——播客时长与听感的最优区间；一篇长文建议先摘要再生成。
2. 生成
python scripts/generate_podcast.py \
--text "播客话题或内容文本" \
--output "/path/to/output.mp3" \
--app-id "$VOLC_APP_ID" --access-key "$VOLC_ACCESS_KEY" \
--format mp3 --sample-rate 24000 --speech-rate 0脚本会流式接收音频、按轮次显示进度、落盘后返回统计（大小/轮次数）。
Python 模块调用、自定义音色 ID、断点续传 retry_info 的写法见脚本内 docstring 与 references/api_reference.md。
3. 交付
回报文件路径、大小、时长预估;失败时给出具体错误与下一步(见陷阱表)。
已知陷阱
| 陷阱 | 具体表现 | 应对 |
|---|---|---|
| 超长静默截断 | >25k 字符时模型直接截断，播客缺尾 | 生成前校验长度，超长先与用户确认拆分或摘要 |
| WebSocket 连不上 | 连接错误/超时 | 依次排查：凭证是否正确 → 网络 → 防火墙是否放行 WebSocket |
| 中断后从头重试 | 长文本生成到一半断了，重跑烧双倍额度 | 从日志取 task_id 和 last_finished_round_id，用 retry_info 续传 |
| 输出路径不可写 | 生成完成但保存失败 | 生成前检查目录存在且可写、磁盘空间充足 |
| 文本结构差出烂稿 | 口水文本生成的对话生硬 | 输入用结构清晰的中文文本；效果差时先改文本再调参数 |
依赖与凭证
pip install websockets凭证从火山引擎控制台获取（console.volcengine.com/speech/service/10028）。建议走环境变量,不要写进代码。
参考文档（按需加载）
references/api_reference.md— 完整参数规格、WebSocket 协议细节、事件类型、错误码;协议级调试时读scripts/generate_podcast.py— CLI 与模块双接口,含自动重试与流式接收实现
© staruhub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, references) in lab/Geek-skills-podcast-generator of staruhub/ClaudeSkills.
- SKILL.md
- references/api_reference.md
- scripts/generate_podcast.py
Open the folder on GitHubat commit 66e02d2
Compare with similar skills
Podcast Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Podcast Generator this skillstaruhub/ClaudeSkills | 728 | — | ~475 | Automated safety check: Pass | MIT | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 130k | — | ~2.1k | Automated safety check: Warn | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Openspec OnboardSAP/e-mobility-charging-stations-simulator | 227 | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Blog AudioAgriciDaniel/claude-blog | 2.3k | 1 repos | ~2.2k | Automated safety check: Notes | MIT | |
| Musictadaspetra/loop | 296 | 2 repos | ~827 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Podcast Generator
What does Podcast Generator do?
用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APPID 和 ACCESSKEY。支持 mp3/oggopus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill…. Podcast Generator is an agent skill from staruhub/ClaudeSkills.
When should I use Podcast Generator?
Podcast Generator fits situations like: tasks that involve Text to speech and voice.
How do I install Podcast Generator in Claude Code?
Run `npx skills add staruhub/ClaudeSkills --skill podcast-generator -a claude-code`. Or copy the skill folder (lab/Geek-skills-podcast-generator in staruhub/ClaudeSkills) into .claude/skills/podcast-generator in your project. Claude Code loads it when a task matches its description.
How do I install Podcast Generator in Codex?
Run `npx skills add staruhub/ClaudeSkills --skill podcast-generator -a codex`. Or copy the skill folder (lab/Geek-skills-podcast-generator in staruhub/ClaudeSkills) into .agents/skills/podcast-generator in your project. Codex loads it when a task matches its description.
Can I use Podcast Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staruhub/ClaudeSkills --skill podcast-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/podcast-generator, .gemini/skills/podcast-generator, .github/skills/podcast-generator and .opencode/skills/podcast-generator in your project.
What does Podcast Generator need to run?
Going by SKILL.md and its folder, Podcast Generator needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named ACCESS_KEY and VOLC_ACCESS_KEY. Our summary lists: Python 3; A credential in ACCESS_KEY; A credential in VOLC_ACCESS_KEY.
Does Podcast Generator access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Podcast Generator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Podcast Generator use?
Podcast Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Podcast Generator use?
About 475 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Podcast Generator?
Skills that share tags, products or a category with Podcast Generator: MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars), HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Openspec Onboard (SAP/e-mobility-charging-stations-simulator, 227 stars) and Blog Audio (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Podcast Generator?
staruhub (a GitHub user) maintains it in staruhub/ClaudeSkills, which has 728 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on August 13, 2026.
Source: staruhub/ClaudeSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.