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Integration · Claude Code skill

SUN to Spotify

Turn any topic, question or feed into a dialogue podcast, and listen to it in Spotify or your favorite podcast app.

Just say

  • “What’s the latest in voice and audio AI? Give me a 10-minute roundup.”
  • “What’s happening in the stock market this morning? Make it a 5-minute brief.”
  • “Give me my daily brief based on my calendar for the next 30 minutes.”
  • “Summarize The Hard Thing About Hard Things as a 20-minute podcast.”
  • “How should I think about marketing my B2B startup? Give me a 15-minute deep dive.”

SUN handles everything: research, script writing, multi-speaker dialogue, audio mixing and publishing. The result lands in your Spotify library, ready to play from any device.

Get started

  1. 1

    Install the CLI

    Ask your agent to install it:

    Install the Sun CLI by running https://sunapp-ai.github.io/sun-to-spotify/install.sh

    Or install it yourself (Python 3.10 or newer):

    curl -fsSL https://sunapp-ai.github.io/sun-to-spotify/install.sh | bash
  2. 2

    Install the skill

    The sun-to-spotify skill teaches Claude Code how to drive the CLI. Add it for every project:

    git clone https://github.com/sunapp-ai/sun-to-spotify ~/.claude/skills/sun-to-spotify

    Claude Code picks it up on the next session.

  3. 3

    Sign in

    sun login

    It opens your browser to sign in or create a free account. You only do this once; the CLI keeps you signed in.

  4. 4

    Ask for whatever you want to hear

    The skill handles the rest: it starts the generation, follows its progress and saves the episodes locally.

  5. 5

    Save to Spotify

    When it’s done, the skill can publish the podcast to your Spotify library with save-to-spotify.

CLI at a glance

sun loginSign in via browser
sun whoamiCheck who’s logged in
sun tokens create <name>Mint a personal API token
sun audio createStart a podcast generation job
sun audio status <id>Check job status
sun audio get <id>Print the manifest or download the finished audio

sun audio create takes a prompt, a length from 5 to 120 minutes and an optional voice. Every command supports --json for scripting. The full reference is in the README on GitHub.