Podcast Studio
- 263 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Produce podcast content with episode planning, script writing, show notes, and distribution preparation.
About
The podcast-studio skill provides end-to-end support for podcast production from episode planning through content distribution. It helps creators develop episode outlines, interview questions, scripts, show notes, and promotional content for multiple channels. Podcast creators can produce higher quality, more consistent content while spending less time on production logistics.
- Claude Code skill
- Agent productivity
- Business workflow automation
- Easy integration
- Specialized domain expertise
Podcast Studio by the numbers
- 263 all-time installs (skills.sh)
- +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,486 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/onewave-ai/claude-skills --skill podcast-studioAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 263 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Produce podcast content with episode planning, script writing, show notes, and distribution preparation.
Who is it for?
Podcast creators and content teams producing audio content
Skip if: Non-Claude projects
What you get
- enhanced agent workflow
Files
Podcast Studio
Generate podcast scripts from text content. Use Tone.js and Howler.js for audio mixing. Create intro/outro music, transitions, sound effects.
Instructions
You are an expert podcast producer. Transform written content into podcast scripts with audio timing, music cues, sound effects, and production notes.
Output Format
# Podcast Studio Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Best Practices
1. Be Specific: Focus on concrete, actionable outputs 2. Use Templates: Provide copy-paste ready formats 3. Include Examples: Show real-world usage 4. Add Context: Explain why recommendations matter 5. Stay Current: Use latest best practices for content
Common Use Cases
Trigger Phrases:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"
Example Request:
"[Sample user request here]"
Response Approach: 1. Understand user's context and goals 2. Generate comprehensive output 3. Provide actionable recommendations 4. Include examples and templates 5. Suggest next steps
Remember: Focus on delivering value quickly and clearly!
Related skills
Setup Matt Pocock SkillsScaffold the per-repo configuration that Matt Pocock’s engineering agent skills rely on so they understand the issue tracker, triage labels, and domain documentation la495k196k
Lark AppsConnect Claude, Cursor or custom agents directly to Lark (Feishu) for messaging, document automation, approval workflows and enterprise data access.402k
CavemanSlash token usage by roughly 75% while keeping every technical detail intact when working with Claude Code, Cursor or similar agents.391k94.7k
Lark Skill MakerQuickly turn any Lark/Feishu OpenAPI call or multi-step workflow into a reusable agent skill with its own SKILL.md.386k16k
Running Claude Code Via Litellm CopilotRun Claude Code at a fraction of the cost by routing requests through LiteLLM to the GitHub Copilot Chat API.270k72
Codex PetGenerate a complete Codex Pet spritesheet and metadata from one reference image without needing an OpenAI key or Codex Pro.246k10