Effortlessly manage podcast hosting, episode distribution, and listener analytics through the Transistor.fm REST API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install transistorfm
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install transistorfm using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Transistor.fm skill is a powerful integration designed for creators and developers using Openclaw Skills to automate their podcasting workflows. This skill provides a direct interface with the Transistor.fm REST API, allowing users to handle everything from initial show creation to complex audio file uploads and episode scheduling. By leveraging this tool within the Openclaw Skills ecosystem, teams can build robust pipelines for media management without manual dashboard intervention.
Whether you are managing a single show or a network of private podcasts, this skill ensures consistent data handling and efficient publishing. It simplifies the multi-step process of podcasting by providing standardized methods for metadata management, audio ingestion, and performance tracking.
To use this integration within Openclaw Skills, you must first obtain your Transistor.fm API key from your account dashboard. Configure your environment as follows:
export TRANSISTOR_API_KEY="your_api_key_here"
Ensure your agent has access to this variable to interact with the base URL https://api.transistor.fm/v1. All requests are rate-limited to 10 requests every 10 seconds to ensure stability.
The skill interacts with several core data objects. Below is the primary structure for episode management:
| Object | Fields | Description |
|---|---|---|
| Show | id, title, description | Metadata for the podcast series. |
| Episode | id, title, audio_url, status | Individual podcast files and their state (draft, published, scheduled). |
| Analytics | downloads, start_date, end_date | Performance metrics for shows or episodes. |
Episode descriptions support HTML for rich formatting, while summaries are plain text. Use sparse fieldsets to reduce response size when listing large episode libraries.
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