A powerful podcast intelligence tool that searches transcripts, summarizes episodes, and converts audio or video into structured AI insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install podcast-copilot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install podcast-copilot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Podwise Podcast Copilot?
The Podwise Podcast Copilot is a sophisticated skill designed to bridge the gap between spoken content and actionable knowledge. By leveraging the Podwise CLI, it allows users to perform deep searches across podcast transcripts, monitor followed shows for new releases, and discover trending content. It acts as a bridge for Openclaw Skills users to turn raw audio or video into structured summaries, mind maps, and highlights.
Beyond simple discovery, this skill excels at transcript-grounded analysis. Users can ask complex questions and receive answers synthesized directly from podcast data. Whether you are dealing with a Podwise episode URL, a YouTube video, or a local recording, this skill automates the extraction of high-value artifacts like chapters and Q&A to streamline your research and learning workflows.
Podwise Podcast Copilot Use Cases
- Researching specific topics by querying thousands of podcast transcripts for synthesized insights.
- Monitoring daily updates and trending episodes from followed podcast feeds.
- Converting YouTube videos or local audio files into text-based notes, mind maps, and summaries.
- Exporting podcast transcripts into SRT or VTT formats for subtitle generation.
- Getting quick recaps of long-form episodes including key highlights and chapters.
How Podwise Podcast Copilot Works
- The skill verifies the environment by checking the Podwise CLI installation and API configuration.
- Based on user intent, it selects between content discovery (search/popular), transcript analysis (ask), or episode processing.
- For new content, it initiates a processing job for URLs or local files after receiving user confirmation for credit usage.
- It monitors the processing status until completion reaches the done state.
- It retrieves and formats specific AI artifacts such as transcripts, summaries, or mind maps for the user.
Podwise Podcast Copilot Setup
To use this skill, ensure you have the Podwise CLI installed and configured on your system. Run the following commands to verify your setup:
podwise --help
podwise config show
You must have a valid API key configured to allow the Openclaw Skills integration to interact with the Podwise backend.
Podwise Podcast Copilot Data Schema & Taxonomy
The skill organizes data into structured episode artifacts and search results. Below is the taxonomy of retrieved data:
| Data Type | Description |
|---|---|
| Transcript | Full text of the episode, available in plain text, SRT, or VTT formats. |
| Summary | A concise overview of the core topics and takeaways. |
| Chapters | Time-stamped segments of the episode content. |
| Mind Map | A structured hierarchical representation of the episode's logic. |
| QA & Highlights | Specific question-answer pairs and key memorable moments. |
| Keywords | Metadata tags identifying the primary subjects discussed. |
Podwise Podcast Copilot Advanced Features
- Multi-source processing: Handles Podwise URLs, YouTube links, Xiaoyuzhou FM links, and local media files.
- High-fidelity transcription: Supports hotwords to improve ASR accuracy for technical terms or names.
- Transcript-grounded RAG: Uses the ask command to perform retrieval-augmented generation across global podcast data.
- Batch listing: Filter followed podcast updates by specific dates or the latest N episodes.
SKILL.md
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