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podcast-producer-agent播客制作人 Agent 人

Agent Skill

podcast-producer-agent 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

618

周安装

25

GitHub Stars

10

下载量

194
CodexClaudeCursorGemini CLI

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

unknown

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:podcast-producer-agent(播客制作人 Agent 人)
来源仓库:https://github.com/michaelboeding/skills
仓库路径:skills/podcast-producer-agent
安装命令:
npx skills add https://github.com/michaelboeding/skills --skill podcast-producer-agent
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/michaelboeding/skills --skill podcast-producer-agent

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适合在代码变更或协作事项整理时提供上下文支持。podcast-producer-agent 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 可结合来源仓库 README 进一步核验具体用法和功能边界。
  • 安装前建议确认权限范围和维护状态,避免不必要的联网或执行。
  • 注意该技能不会自动修改代码,仅提供信息整合能力。

SKILL.md

Podcast Producer

Create complete podcast episodes, interviews, and conversation-style audio content.

This is an orchestrator skill that combines:

  • Script/dialogue generation (Claude)
  • Multi-speaker voice synthesis (Gemini TTS)
  • Intro/outro music (Lyria)
  • Audio assembly (FFmpeg via media-utils)

What You Can Create

TypeExample
Podcast episodeTwo hosts discussing a topic
InterviewQ&A format with host and guest
DialogueScripted conversation between characters
Audio dramaStory with multiple characters
Radio showFormatted audio program with segments

Prerequisites

  • GOOGLE_API_KEY - For Gemini TTS (voices) and Lyria (music)
  • FFmpeg installed: brew install ffmpeg (macOS) or apt install ffmpeg (Linux)

Workflow

Step 1: Gather Requirements (REQUIRED)

⚠️ DO NOT skip this step. Use interactive questioning — ask ONE question at a time.

Question Flow

⚠️ Use the AskUserQuestion tool for each question below. Do not just print questions in your response — use the tool to create interactive prompts with the options shown.

Q1: Topic

"I'll create that podcast episode! First — what's the topic? *(What should the hosts discuss?)*"

*Wait for response.*

Q2: Hosts

"Who are the hosts/speakers? *(Names and brief personality — e.g., 'Sarah, enthusiastic tech expert' — max 2 for TTS)*"

*Wait for response.*

Q3: Duration

"How long should the episode be? - 5 minutes - 10 minutes - 15 minutes - Or specify your own"

*Wait for response.*

Q4: Tone

"What tone? - Professional - Casual/conversational - Funny/entertaining - Serious/educational - Or describe your own"

*Wait for response.*

Q5: Music

"What music style for intro/outro? - Upbeat pop - Chill lo-fi - Corporate/professional - Electronic - Or describe your own"

*Wait for response.*

Quick Reference

QuestionDetermines
TopicScript content and discussion points
HostsVoice selection and script style
DurationScript length
ToneWriting style and energy
MusicLyria prompt for intro/outro

Step 2: Generate the Script

Use Claude to create the dialogue script with speaker labels:

[INTRO MUSIC: 10 seconds, upbeat tech podcast vibe]

Sarah: Welcome back to Tech Talk! I'm Sarah, and today we have something exciting.

Mike: Hey everyone! I'm Mike, and yes - we're diving into AI in healthcare.

Sarah: So Mike, what's the biggest change you've seen this year?

Mike: Great question! The use of AI for diagnostic imaging has exploded...

[Continue dialogue...]

[OUTRO MUSIC: Fade under last lines, 5 seconds after]

Sarah: Thanks for listening! Follow us for more episodes.

Mike: See you next time!

Script Guidelines:

  • Use speaker names exactly as they'll be configured in TTS
  • Include music cues in brackets: [INTRO MUSIC: description]
  • Natural conversation flow with back-and-forth
  • Aim for ~150 words per minute of audio

Step 3: Plan Asset Generation

Create a manifest of what needs to be generated:

{
  "project": "tech_talk_ai_healthcare",
  "duration_target": "5 minutes",
  "speakers": [
    {"name": "Sarah", "voice": "Kore", "style": "Enthusiastic, upbeat"},
    {"name": "Mike", "voice": "Puck", "style": "Friendly, knowledgeable"}
  ],
  "assets": [
    {
      "type": "music",
      "name": "intro_music",
      "prompt": "upbeat tech podcast, electronic, modern",
      "duration": 15,
      "script": "lyria"
    },
    {
      "type": "dialogue",
      "name": "main_content",
      "speakers": ["Sarah", "Mike"],
      "text": "[the dialogue script]",
      "script": "gemini_tts"
    },
    {
      "type": "music",
      "name": "outro_music",
      "prompt": "same as intro, fade out",
      "duration": 10,
      "script": "lyria"
    }
  ],
  "assembly": [
    {"action": "mix", "voice": "intro_with_music", "music": "intro_music", "music_volume": 0.8},
    {"action": "concat", "files": ["intro_with_music", "main_content"]},
    {"action": "mix", "voice": "main_content_end", "music": "outro_music", "fade_out": 5}
  ]
}

Step 4: Generate Assets

Execute each generation step:

Generate intro music (Lyria):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/music-generation/scripts/lyria.py \
  --prompt "upbeat tech podcast, electronic, modern, positive energy" \
  --duration 15 \
  --bpm 120

Generate dialogue (Gemini TTS multi-speaker):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/gemini_tts.py \
  --multi \
  --speaker "Sarah:Kore" \
  --speaker "Mike:Puck" \
  --text "[dialogue script from Step 2]" \
  --style "Make Sarah sound enthusiastic and upbeat. Mike sounds friendly and knowledgeable."

Generate outro music (same as intro or variation):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/music-generation/scripts/lyria.py \
  --prompt "upbeat tech podcast, electronic, fade out feel" \
  --duration 10 \
  --bpm 120

Step 5: Assemble the Podcast

Use media-utils to stitch everything together:

Mix intro music with beginning of dialogue:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/media-utils/scripts/audio_mix.py \
  --voice dialogue.wav \
  --music intro_music.wav \
  --music-volume 0.4 \
  --fade-out 3 \
  -o intro_mixed.wav

Concatenate all segments:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/media-utils/scripts/audio_concat.py \
  -i intro_mixed.wav main_dialogue.wav outro_mixed.wav \
  --crossfade 1.0 \
  -o final_podcast.mp3

Step 6: Deliver the Result

Provide:

  1. The final audio file
  2. Summary of what was created
  3. Offer adjustments

Example delivery:

"✅ Your podcast episode is ready!

File: tech_talk_ai_healthcare.mp3 (5:23)

What I created:

  • Dialogue between Sarah (Kore voice) and Mike (Puck voice)
  • 15s upbeat electronic intro music
  • 10s outro music fade

Want me to:

  • Adjust the voices or tone?
  • Change the music style?
  • Extend or shorten any section?
  • Add more topics to the discussion?"

Voice Pairing Suggestions

Host TypeSuggested VoiceDescription
Main host (energetic)Kore, Puck, LaomedeiaFirm, upbeat
Co-host (calm)Charon, AlgiebaInformative, smooth
Guest (expert)Rasalgethi, GacruxKnowledgeable, mature
InterviewerAchirdFriendly
NarratorCharon, OrusInformative, clear

Music Style Suggestions

Podcast TypeMusic Prompt
Tech/Business"upbeat electronic, modern, corporate, positive"
Casual/Comedy"fun, playful, acoustic guitar, lighthearted"
News/Serious"subtle, professional, ambient, understated"
Storytelling"cinematic, emotional, orchestral, atmospheric"
Health/Wellness"calm, peaceful, ambient, gentle piano"
True Crime"dark, suspenseful, minimal, tension"

Limitations

  • Max 2 speakers per Gemini TTS call (for more, generate separate files and concatenate)
  • Lyria is instrumental only - no vocals in music
  • Duration estimates may vary - dialogue length depends on speaking pace
  • Music loops if shorter than dialogue

Error Handling

ErrorSolution
"GOOGLE_API_KEY not set"Set up API key per README
"FFmpeg not found"Install: brew install ffmpeg
"google-genai not installed"Run: pip install google-genai
TTS too longSplit script into segments, generate separately, concat

Example Prompts

Simple:

"Create a 3-minute podcast episode about remote work tips with two hosts"

Detailed:

"Create a 5-minute tech podcast episode. Hosts: Alex (enthusiastic, tech-savvy) and Jordan (skeptical, asks good questions). Topic: The future of AI assistants. Include upbeat electronic intro/outro music. Casual but informative tone."

With provided script:

"Turn this dialogue into a podcast episode with intro/outro music: Alex: Hey everyone, welcome back! Jordan: Today we're talking about..."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

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

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

Codex

34.15%
按下载量换算66

Claude

29.87%
按下载量换算58

Cursor

18.03%
按下载量换算35

Gemini CLI

10.58%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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