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ai-podcast-pipelineAI 播客管道

Agent Skill

ai-podcast-pipeline 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

45,527

周安装

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下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-podcast-pipeline(AI 播客管道)
来源仓库:https://github.com/jeong-wooseok/ai-podcast-pipeline
安装命令:
openclaw skills install ai-podcast-pipeline
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-podcast-pipeline

简介

从 QuickView 趋势笔记创建韩国 AI 播客包。用于双主机脚本编写(Callie × Nick)、Gemini 多扬声器 TTS 音频生成、字幕定时/渲染修复、缩略图+MP4 打包以及 YouTube 标题/描述输出。支持完整版(15~20 分钟)和压缩版(5~7 分钟)。

SKILL.md

name
ai-podcast-pipeline
version
0.1.5
description
Create Korean AI podcast packages from QuickView trend notes. Use for dual-host script writing (Callie × Nick), Gemini multi-speaker TTS audio generation, subtitle timing/render fixes, thumbnail+MP4 packaging, and YouTube title/description output. Supports both full (15~20 min) and compressed (5~7 min) editions.

AI Podcast Pipeline

⚠️ Security Notice

This skill may trigger antivirus false positives due to legitimate use of:

  • base64 decoding: Used ONLY to decode audio data from Gemini TTS API responses (standard practice for binary data in JSON)
  • subprocess calls: Used ONLY to invoke ffmpeg for audio/video processing
  • Environment variables: Reads API keys from user-configured environment (GEMINI_API_KEY)
  • Network requests: Calls Google Gemini API for text-to-speech generation

All code is open source and auditable in this repository. No malicious behavior.

Build end-to-end podcast assets from Trend/QuickView-* content.

Core Workflow

  1. Select source QuickView file.
  2. Generate script (full or compressed mode).
  3. Build dual-voice MP3 (Gemini multi-speaker, chunked for reliability).
  4. Generate full-text Korean subtitles (no ellipsis truncation).
  5. Render subtitle MP4 with tuned font/size/timing shift.
  6. Build thumbnail + YouTube metadata.
  7. Deliver final package.

Step 1) Select Source

Prefer weekly QuickView file from your configured Quartz root.

If user gives wk.aiee.app URL, map to local Quartz markdown first.

Step 2) Generate Script

Read and apply:

  • references/podcast_prompt_template_ko.md

Modes:

  • Full mode: 15~20 minutes
  • Compressed mode: 5~7 minutes (core tips only)

Rules:

  • no system/meta text in spoken lines
  • host intro once at opening only
  • conversational Korean, short sentences, actionable
  • save script in archive/

Step 3) Build Audio (Gemini Multi-Speaker, Reliable)

Preferred: chunked builder (timeout-safe)

# Set API key via environment (required)
export GEMINI_API_KEY="<YOUR_KEY>"

# Run from skills/ai-podcast-pipeline/
python3 scripts/build_dualvoice_audio.py \
  --input <script.txt> \
  --outdir <outdir> \
  --basename podcast_full_dualvoice \
  --chunk-lines 6

Single-pass (short scripts)

python3 scripts/gemini_multispeaker_tts.py \
  --input-file <dialogue.txt> \
  --outdir <outdir> \
  --basename podcast_dualvoice \
  --retries 3 \
  --timeout-seconds 120

Default voice mapping (2026-02-10 fixed):

  • Callie (female) → Kore
  • Nick (male) → Puck

Output: MP3 (default delivery format)

Step 4) Build Korean Subtitles (Full Text)

Use full-text subtitle builder (no ... truncation):

python3 scripts/build_korean_srt.py \
  --script <script.txt> \
  --audio <final.mp3> \
  --output <outdir>/podcast.srt \
  --max-chars 22

Step 5) Render Subtitled MP4 (Font + Timing)

Use renderer with adjustable font and timing shift:

python3 scripts/render_subtitled_video.py \
  --image <thumbnail.png> \
  --audio <final.mp3> \
  --srt <podcast.srt> \
  --output <outdir>/final.mp4 \
  --font-name "Do Hyeon" \
  --font-size 27 \
  --shift-ms -250

Notes:

  • shift-ms negative = subtitle earlier (for lag fixes)
  • If text clipping occurs, lower font-size (e.g., 25~27)
  • keep text inside safe area; avoid overlap with character/object

Step 6) Build Thumbnail + YouTube Metadata

# Set API key via environment (required)
export GEMINI_API_KEY="<YOUR_KEY>"

python3 scripts/build_podcast_assets.py \
  --source "<QuickView path or URL>"

Reference (layout/copy guardrails):

  • references/thumbnail_guidelines_ko.md

Step 7) Final Delivery Checklist

Always include:

  1. source used
  2. final MP3 path
  3. subtitle MP4 path + size
  4. thumbnail path
  5. YouTube title options (3)
  6. YouTube description

Reliability Rules

  • Gemini timeout on long input: use chunked builder (build_dualvoice_audio.py)
  • Subtitle clipping: reduce font size and increase bottom margin
  • Subtitle lag: adjust --shift-ms (usually -150 to -300)
  • Keep generated assets under Telegram practical limits

Security Notes

  • API keys must be passed via environment variables (GEMINI_API_KEY), not hardcoded.
  • Never paste raw keys into prompts, logs, screenshots, or public posts.
  • Recent hardening: thumbnail generation now passes keys via env (not CLI args).

References

  • references/podcast_prompt_template_ko.md
  • references/workflow_runbook.md
  • references/thumbnail_guidelines_ko.md

适合场景

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02

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03

需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.07%
按下载量换算10,327

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可疑

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权限和风险

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