Agent skill

Epub2podcast Gpt Image

by dracohu2025-cloud in dracohu2025-cloud/draco-skills-collection

可独立运行的 GPT-Image 增强版 EPUB2Podcast:在本地把 EPUB 转成双人中文音频、GPT-Image/Smart Slide 视觉页、最终 MP4,并生成 YouTube 发布素材。

MITAuto-check passedMedia & Creative

Install Epub2podcast Gpt Image

skills CLI
$ npx skills add dracohu2025-cloud/draco-skills-collection --skill epub2podcast-gpt-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dracohu2025-cloud/draco-skills-collection epub2podcast-gpt-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .claude/skills && cp -r skills-src/epub2podcast-gpt-image .claude/skills/epub2podcast-gpt-image && rm -rf skills-src

Use ~/.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/

Facts

Skill name
epub2podcast-gpt-image
GitHub stars
227
Token cost
~1.9k tokens
SKILL.md length
548 words
Files
85 (incl. scripts, references, assets)
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

可独立运行的 GPT-Image 增强版 EPUB2Podcast:在本地把 EPUB 转成双人中文音频、GPT-Image/Smart Slide 视觉页、最终 MP4,并生成 YouTube 发布素材。

  • Works in 7 steps: 最简单 → 指定输出目录 → 覆盖主题或模型 → …
  • Tasks that involve Image generation
  • SKILL.md covers 核心原则, 当前默认配置, 依赖 and 推荐命令, plus 6 more sections
  • Calls node, python3 and bash

What it does

Epub2podcast Gpt Image is an agent skill from dracohu2025-cloud/draco-skills-collection. 可独立运行的 GPT-Image 增强版 EPUB2Podcast:在本地把 EPUB 转成双人中文音频、GPT-Image/Smart Slide 视觉页、最终 MP4,并生成 YouTube 发布素材。

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 87 other files, including scripts, reference files and assets (for example `CHANGELOG.md`, `GITHUB_RELEASE_v0.1.0.md` and `PUBLISHING.md`).

It sits in Media & Creative, covering Image generation and Slides and decks. It works with YouTube and DeepSeek. The licence is MIT.

When your agent uses it

  • Tasks that involve Image generation
  • Tasks that involve Slides and decks

Example prompts

  • “/epub2podcast-gpt-image”

Requirements

  • Python 3
  • Node.js

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 最简单
  2. 指定输出目录
  3. 覆盖主题或模型
  4. 只重生某一页,并可选重合成视频
  5. 为飞书上传压缩 mp4
  6. 使用 GPT-Image-2 视觉页
  7. 生成 YouTube 发布交接页

What it can do on your machine

Read from SKILL.md and the folder at commit 26e8975. 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/, which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • python3
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Epub2podcast Gpt Image loads about 1.9k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.3k

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 dracohu2025-cloud/draco-skills-collection at commit 26e8975, republished under its MIT licence (© dracohu2025-cloud). 548 words, ~1,913 tokens.

Download SKILL.mdSave it as .claude/skills/epub2podcast-gpt-image/SKILL.md (or your agent's skills folder). This skill also uses 84 other files; get the full folder from GitHub.
name
epub2podcast-gpt-image
description
可独立运行的 GPT-Image 增强版 EPUB2Podcast:在本地把 EPUB 转成双人中文音频、GPT-Image/Smart Slide 视觉页、最终 MP4,并生成 YouTube 发布素材。
version
0.2.0
author
Hermes Agent
license
MIT
platforms
linux

EPUB2Podcast GPT-Image Standalone

这个 skill 对应的是 GPT-Image 增强 standalone 版本 的 epub2podcast 管线。旧的 Smart Slide 基础公开版保留在 epub2podcast/。用户只需要下载当前项目本身,就可以把 EPUB 转成:

  • 双人中文播客脚本
  • 分段音频
  • 合并音频 full_podcast.mp3
  • Smart Slide 图片 / HTML 源文件
  • GPT-Image-2 视觉页(可选)
  • 最终视频播客 final_podcast.mp4
  • YouTube 标题、description、缩略图 prompt 与发布交接页

核心原则

  • 本地运行
  • 独立运行(不依赖外部 EPUB2PODCAST_PROJECT_ROOT)
  • 不依赖 Supabase 持久化
  • 不调用远端运行中的 epub2podcast 服务
  • 交付物优先落本地目录,后续可再上传飞书
  • 首屏书籍封面应优先走本地文件 + 本地 HTTP 临时地址,避免直接把超长 base64 塞进 HTML 导致模型输出截断、封面缺失

当前默认配置

  • language=Chinese
  • imageStyle.preset=smart_ppt
  • imageStyle.colorTheme=gq_fashion
  • imageStyle.pptModel=deepseek/deepseek-v4-flash
  • apiProvider=openrouter
  • textModel=deepseek-v4-flash
  • 中文 TTS 默认走 volcengine
  • 对 smart_ppt / antv_infographic 模式,脚本生成现在会同时启用:
    • 长书多章节采样输入(不再只吃书前 200k 字)
    • 更严格的 prompt 约束(覆盖开头/中段/结尾)
    • 硬校验与自动重试(段数、文本长度、预估时长不达标就失败重试)

依赖

当前机器需要:

  • Node.js
  • npm
  • ffmpeg / ffprobe
  • Chrome / Chromium(供 Puppeteer 截图 Smart Slide)
  • OpenRouter / GPT-Image / Volcengine 等环境变量

注意:本公开版 skill 不会包含任何真实 API key、token、secret 或私有凭证;相关环境变量需由使用者自行提供。

推荐命令

主命令:

  • node dist/cli/run.js 或 bash scripts/epub2podcast_local_run.sh
  • node dist/cli/generate-gpt-images.js(对已有 delivery 生成 GPT-Image 视觉页,可选重合成 mp4)
  • node dist/cli/regenerate-slide.js(只重生某一页,可选自动重合成 mp4)
  • node dist/cli/compress-video.js(把最终 mp4 压到更适合上传的体积)
  • python3 scripts/publish_podcast_site.py(生成 YouTube 发布交接页)
1) 最简单
bash
node dist/cli/run.js --epub ./book.epub
2) 指定输出目录
bash
node dist/cli/run.js --epub ./book.epub --output-dir ./deliveries
3) 覆盖主题或模型
bash
node dist/cli/run.js \
  --epub ./book.epub \
  --output-dir ./deliveries \
  --color-theme gq_fashion \
  --ppt-model deepseek/deepseek-v4-flash \
  --text-model deepseek-v4-flash
4) 只重生某一页,并可选重合成视频
bash
node dist/cli/regenerate-slide.js \
  --delivery-dir /path/to/delivery \
  --slide-index 0 \
  --recompose \
  --color-theme gq_fashion \
  --ppt-model google/gemini-3-flash-preview

说明:

  • --slide-index 0 用于首页/封面页
  • 首页会自动把 metadata/book.json 中的 coverImageBase64 落地到本地 assets/cover.*,并通过本地 HTTP 临时地址喂给 Puppeteer 渲染
  • --recompose 会基于现有 full_podcast.mp3 + smart_slides/*.png 重写 final_podcast.mp4
  • 不传 --recompose 时,只更新指定页的 PNG 和 HTML
5) 为飞书上传压缩 mp4
bash
node dist/cli/compress-video.js \
  --input /path/to/final_podcast.mp4 \
  --output /path/to/final_podcast_feishu.mp4
6) 使用 GPT-Image-2 视觉页
bash
node dist/cli/run.js \
  --epub ./book.epub \
  --output-dir ./deliveries \
  --visual-mode gpt-image-slide \
  --image-density segment \
  --resolution 1440x1080

如果已有 delivery,只想补生或重生 GPT-Image 视觉页:

bash
node dist/cli/generate-gpt-images.js \
  --delivery-dir /path/to/delivery \
  --recompose
7) 生成 YouTube 发布交接页

metadata/marketing.json 会包含 title、description、thumbnailPrompt。如果 delivery 目录里已有 youtube_thumbnail.png/.jpg,发布脚本会优先原样使用该封面,不裁切、不补边。

bash
python3 scripts/publish_podcast_site.py \
  --delivery-dir /path/to/delivery \
  --output-root ./published-podcasts

默认压缩策略:

  • 保持原始分辨率与比例(例如 4:3 的 1440x1080)
  • libx264
  • -preset medium
  • -crf 27
  • -maxrate 2200k -bufsize 4400k
  • 音频 aac -b:a 96k

适用场景:

  • 当 lark-cli drive +upload 因 20MB 限制无法上传最终 mp4 时
  • 先压出一个 *_feishu.mp4,再上传到用户指定的飞书云盘文件夹

交付目录结构

输出目录通常包含:

  • source/
  • audio_segments/
  • smart_slides/
  • smart_slides_html/
  • gpt_image_slides/(使用 GPT-Image 模式时)
  • gpt_image_raw/(使用 GPT-Image 模式时)
  • metadata/book.json
  • metadata/script.json
  • metadata/marketing.json(YouTube 标题、description、缩略图 prompt)
  • full_podcast.mp3
  • final_podcast.mp4
  • manifest.json

默认视频合成为 4:3 的 1440x1080(保持当前 slide 比例不变,不拉伸到 16:9)。

YouTube Description 规则

  • 优先使用原管线生成的 metadata/marketing.json.description。
  • 若必须 fallback,description 写内容价值、关键看点和时间轴,不要写“这期用双人播客的方式……”这类制作说明。
  • 时间戳是内容段落划分,格式类似 [MM:SS] Topic / MM:SS 主题;不要把对应台词直接贴上去。
  • 主题优先从 visualPrompt 的标题、字幕、关键句或结构化 【标题】... 中提取,缺失时再生成中性的章节标签。
  • 发布前核验:至少 5 条有意义章节时间戳;无完整台词摘录;thumbnail prompt 与 description 生成逻辑保持分离。

细节见:references/youtube-marketing-description.md。

实战经验补充

持久输出目录优先

不要把交付目录默认放在 /tmp。

原因:

  • /tmp 下的 delivery 目录可能在会话后被清理
  • 后续如果要做“只重生某一页”“重新合成视频”“补传飞书”,会失去中间产物

推荐使用持久目录,例如:

bash
./deliveries/epub2podcast-local
飞书上传限制(当前 lark-cli 路径)

lark-cli drive +upload 当前路径对单文件有 20MB 限制。

这意味着:

  • full_podcast.mp3、封面图、单张 slide 通常可直接上传
  • final_podcast.mp4 若超过 20MB,可能上传失败

典型错误:

text
file 23.9MB exceeds 20MB limit

遇到这种情况时:

  1. 先上传 mp3 / cover / 首图 / manifest / metadata
  2. 再决定是否:
    • 重新压缩 mp4 到 20MB 以下
    • 或改走别的交付通道

脚本生成保障(2026-04 更新)

针对 smart_ppt / antv_infographic 模式,当前本地管线已经补上三层保障,用于避免“只生成 6-7 分钟短播客、只覆盖书前半部分”的问题:

  1. 长书输入覆盖

    • 不再简单只截取书前 200k 字作为脚本生成输入
    • 优先使用章节级输入:完整章节大纲 + 按全书均匀采样的章节摘录
    • 强制提示模型覆盖开头 / 中段 / 结尾,而不是只围绕前几章
  2. 更严格的 smart_ppt 约束

    • 明确要求输出 18-22 段
    • 中文场景下要求更高的对话密度(至少约 3200 中文字符,推荐更高)
    • 明确要求脚本覆盖多个章节 / 主题 / 对象,而不是只讲第一个案例
  3. 硬校验 + 自动重试

    • 生成后做程序化质量闸门:
      • 段数是否在 18-22
      • 对话总长度是否达标
      • 预估时长是否至少约 10 分钟
      • 是否存在过多过短 segment
    • 不达标则直接判失败,交由脚本生成重试逻辑继续尝试
Show full SKILL.md (198 more words)Show less
验证结果(真实案例)

在《十件古物中的丝路文明史》样本上:

  • 修复前:13 段,约 6分39秒
  • 修复后:18 段,约 14分10秒

因此,当用户反馈“播客太短”时,优先检查是否走到了上述新逻辑;如果没有,先同步代码或重建产物,再重新运行。

已知问题与排查

首屏缺少书籍封面(local 版常见)

如果用户反馈:

  • 本地版 final_podcast.mp4 第一页右侧没有封面
  • 但另一个实现路径同一本书第一页有封面

优先按下面顺序排查:

  1. 检查 metadata/book.json 是否存在 coverImageBase64
    • 如果存在,说明 EPUB 解析阶段已经成功提取封面,问题不在 parser。
  2. 检查 smart_slides_html/000.html
    • 搜索是否有 <img class="book-cover" ...>
    • 如果 HTML 里有 <img src="data:image/...;base64,...">,但最终 PNG / MP4 里看不到封面,说明问题出在 HTML -> Puppeteer 渲染链路。
经验结论

在当前这套 local 管线里:

  • 直接把超长 base64 data URI 塞进第一页 <img src> 不够稳
  • 可能出现:
    • LLM 生成的 HTML 里明明有 <img>
    • 但 Puppeteer page.setContent() 后,最终 DOM/截图里封面消失

这会导致:

  • smart_slides_html/000.html 看起来有封面代码
  • smart_slides/000.png 和最终 mp4 却没有封面
推荐修法

把 local 管线进一步稳固:

  • 不要直接把 coverImageBase64 传给第一页 prompt
  • 先把封面落成一个可访问资源,再传 URL

推荐优先级:

  1. 最稳:启动一个本地 HTTP 可访问地址,再传 http://.../cover.jpg
  2. 若项目允许外部存储:上传到对象存储/云存储,传公开 URL
  3. 不推荐继续直接传超长 data:image/...;base64,...
调试提示

若要快速确认是不是这个问题:

  • 用视觉或直接检查 smart_slides/000.png,确认右侧是否空白
  • 再检查 smart_slides_html/000.html 是否仍然包含 <img>
  • 如果 HTML 有 <img>、最终图片无封面,基本就能锁定为 local 首屏封面资源引用方式不对
播客时长明显偏短(例如只有 6-8 分钟)

如果用户反馈:

  • 一本正常长度的书只生成了很短的播客
  • 预期应该在 10-15 分钟甚至更长
  • 怀疑不同运行路径逻辑不一致

优先检查以下几点:

  1. metadata/script.json 的段数与总文本量
    • 当前经验:如果只有 12-13 段、总文本很短(例如 2000 多中文字符),最终时长通常会落到 6-8 分钟
  2. src/services/scriptService.ts 的真实验收逻辑
    • prompt 虽然要求 15 分钟 / 4500 words / 18-22 segments
    • 但某些模型分支若只做极弱校验,13 段短文本也可能被直接放行
  3. 输入给脚本生成模型的正文是否被截断
    • 如果只把正文前 200000 字符送入模型,长书就容易只覆盖前半本内容,覆盖度和时长都会受影响
对这个问题的经验结论

当用户说“播客应该至少 10 分钟,为什么这么短”时,优先怀疑:

  • 脚本生成约束只写在 prompt 里,没有代码级强验收
  • 长书输入被前 200k 字符截断,导致覆盖范围不足

而不是优先怀疑:

  • ffmpeg 合成
  • TTS 合成
  • 封面页逻辑
建议修法
  1. 在脚本生成后增加硬校验:
    • 段数必须在 18-22
    • 总文本长度达到阈值
    • 预估总时长达到阈值(例如至少 10 分钟)
  2. 若不满足,自动重试或切更强模型,而不是直接进入 TTS
  3. 不要只使用前 200k 字符;长书应改为:
    • 章节摘要后再生成,或
    • 从全书多段采样,避免内容只集中在前半本

自然语言触发建议

当用户说:

  • “把这个 EPUB 做成带 Smart Slide 的视频播客”
  • “生成双人音频 + 最终 mp4”
  • “本地跑 epub2podcast,不要依赖 Supabase”

优先使用本 skill。

© dracohu2025-cloud, 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 84 other files (scripts, references, assets) in epub2podcast-gpt-image of dracohu2025-cloud/draco-skills-collection.

  • SKILL.md
  • .gitignore
  • CHANGELOG.md
  • GITHUB_RELEASE_v0.1.0.md
  • LICENSE
  • PUBLISHING.md
  • README.md
  • RELEASE.md
  • assets/example-slide-card-layout.png
  • assets/example-slide-center-layout.png
  • assets/example-slide-cover.png
  • assets/example-slide-infographic.png
  • assets/example-slide-list-layout.png
  • assets/example-slide-split-layout.png
  • assets/example-youtube-thumbnail.png
  • docs/epub-namespace-compatibility.md
  • env.sample.txt
  • examples/env-minimal-example.md
  • … and 67 more

Open the folder on GitHubat commit 26e8975

Compare with similar skills

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    asgeirtj/system_prompts_leaks

    Creates and edits Canva designs, generates images and works with brand kits through the canva CLI and Canva's official MCP server, from decks to social posts.

    69k GitHub stars~2.1k tokensUpdated yesterday
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    1.2k GitHub stars~1.6k tokensUpdated 3 mo ago
    Media & CreativeAuto-check passed
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    kkoppenhaver/cc-nano-banana

    REQUIRED for all image generation requests. An agent skill from kkoppenhaver/cc-nano-banana.

    378 GitHub starsUsed in 1 repo~1.4k tokens
    Media & CreativeAuto-check passed

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Works with

Questions about Epub2podcast Gpt Image

What does Epub2podcast Gpt Image do?

可独立运行的 GPT-Image 增强版 EPUB2Podcast:在本地把 EPUB 转成双人中文音频、GPT-Image/Smart Slide 视觉页、最终 MP4,并生成 YouTube 发布素材。. Epub2podcast Gpt Image is an agent skill from dracohu2025-cloud/draco-skills-collection.

When should I use Epub2podcast Gpt Image?

Epub2podcast Gpt Image fits situations like: tasks that involve Image generation; tasks that involve Slides and decks.

How do I install Epub2podcast Gpt Image in Claude Code?

Run `npx skills add dracohu2025-cloud/draco-skills-collection --skill epub2podcast-gpt-image -a claude-code`. Or copy the skill folder (epub2podcast-gpt-image in dracohu2025-cloud/draco-skills-collection) into .claude/skills/epub2podcast-gpt-image in your project. Claude Code loads it when a task matches its description.

How do I install Epub2podcast Gpt Image in Codex?

Run `npx skills add dracohu2025-cloud/draco-skills-collection --skill epub2podcast-gpt-image -a codex`. Or copy the skill folder (epub2podcast-gpt-image in dracohu2025-cloud/draco-skills-collection) into .agents/skills/epub2podcast-gpt-image in your project. Codex loads it when a task matches its description.

Can I use Epub2podcast Gpt Image 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 dracohu2025-cloud/draco-skills-collection --skill epub2podcast-gpt-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/epub2podcast-gpt-image, .gemini/skills/epub2podcast-gpt-image, .github/skills/epub2podcast-gpt-image and .opencode/skills/epub2podcast-gpt-image in your project.

What does Epub2podcast Gpt Image need to run?

Going by SKILL.md and its folder, Epub2podcast Gpt Image needs the command-line tools its instructions call (node, python3 and bash). Our summary lists: Python 3; Node.js.

Does Epub2podcast Gpt Image access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Epub2podcast Gpt Image 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 Epub2podcast Gpt Image use?

Epub2podcast Gpt Image is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Epub2podcast Gpt Image use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 6.4k tokens, read only when the agent opens those files.

What are the alternatives to Epub2podcast Gpt Image?

Skills that share tags, products or a category with Epub2podcast Gpt Image: Orange Line Illustration (orange2ai/orange-line-illustration, 441 stars), Carousels (TheCraigHewitt/skills, 159 stars), Gpt Image Slide Render (humantonylee/future-slide, 150 stars) and Canva Designer (asgeirtj/system_prompts_leaks, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Epub2podcast Gpt Image?

dracohu2025-cloud (a GitHub user) maintains it in dracohu2025-cloud/draco-skills-collection, which has 227 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on September 17, 2026.

Source: dracohu2025-cloud/draco-skills-collection on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.