podcast-producer-agent
Use this skill to create podcast episodes, interviews, dialogues, and conversation-style audio. Triggers: "create podcast", "podcast episode", "interview audio", "dialogue", "conversation", "two hosts discussing", "audio show", "radio show", "audio drama" Orchestrates: script generation, multi-speaker TTS, intro/outro music, and audio assembly.
What this skill does
# 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
| Type | Example |
|------|---------|
| Podcast episode | Two hosts discussing a topic |
| Interview | Q&A format with host and guest |
| Dialogue | Scripted conversation between characters |
| Audio drama | Story with multiple characters |
| Radio show | Formatted 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
| Question | Determines |
|----------|------------|
| Topic | Script content and discussion points |
| Hosts | Voice selection and script style |
| Duration | Script length |
| Tone | Writing style and energy |
| Music | Lyria 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:
```json
{
"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):**
```bash
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):**
```bash
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):**
```bash
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:**
```bash
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:**
```bash
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 Type | Suggested Voice | Description |
|-----------|-----------------|-------------|
| Main host (energetic) | Kore, Puck, Laomedeia | Firm, upbeat |
| Co-host (calm) | Charon, Algieba | Informative, smooth |
| Guest (expert) | Rasalgethi, Gacrux | Knowledgeable, mature |
| Interviewer | Achird | Friendly |
| Narrator | Charon, Orus | Informative, clear |
## Music Style Suggestions
| Podcast Type | Music 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
| Error | Solution |
|-------|----------|
| "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 long | Split 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 Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.