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Spotify

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win4r
spotify

Discover, search, and manage Spotify music, podcasts, and playlists, including deleting shows or episodes you created with Save to Spotify.

Overview

Publisherwin4r
RepositoryMuseAI-Skills
Skill namespotify
Stars
382
Forks
116
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by win4r on GitHub. Read the source before you install it.

Installation

Install the Spotify AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/spotify
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/spotify .claude/skills/spotify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spotify in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Spotify on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Spotify is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Spotify

Purpose

Use spotify-api to browse personalized Spotify content, search for music and podcasts, manage the user's library and playlists, and check saveability of items. Use save-to-spotify to manage shows and episodes you created through Save to Spotify.

Tooling

Use the installed CLI directly from PATH.

Connection
  • spotify-api status — check OAuth connection status (status, connect_url, disconnect_url)
  • spotify-api disconnect — disconnect Spotify (may return a confirmation URL)
  • spotify-api authorize-url — get the active environment's connect URL
Browse & Discover
  • spotify-api experience --id <spotify_uri_or_name> [--language <lang>] — get experience by ID (e.g. artist/album/show page). Large sections may include a next URL for more results.
  • spotify-api next-page --url <section_next_url> [--language <lang>] — fetch the next pagination URL returned as sections[].next or next by a prior Spotify response. Prefer this over guessing section IDs.
Search
  • spotify-api search --query <text> [--search-type TRACKS,ALBUMS,ARTISTS,PLAYLISTS,EPISODES,PODCASTS] [--language <lang>] — search for content. For an exact song or album lookup, always format the query as "<song or album> by <artist>" so missing originals are distinguished from covers and similarly named content. Use PODCASTS to find shows (not SHOWS which is invalid). Use experience --id <show_uri> to list episodes of a found show.
  • Search responses include spotify_search_url for opening the same query directly in Spotify. When an exact requested item is unavailable, catalog_fallback.message is the fully rendered approved response and must be relayed verbatim; the object also provides requested_content_label, requested_content_url, artist_name, and artist_url.
Filter values
  • Valid library/browse filter values are ALBUMS, ARTISTS, PLAYLISTS, EPISODES, PODCASTS, SHOWS, and PODCASTS_AND_SHOWS.
  • These filter values are content categories, not field projections. Never use field names such as title, items.title, sections, or items as --filter values.
  • TRACKS is explicitly rejected for library filtering; use unfiltered spotify-api library or spotify-api search --search-type TRACKS to find tracks.
Library
  • spotify-api library [--filter ALBUMS|ARTISTS|PLAYLISTS|EPISODES|PODCASTS|SHOWS|PODCASTS_AND_SHOWS] [--language <lang>] — browse user's library. TRACKS is not supported as a library filter; use unfiltered library or search --search-type TRACKS instead.
  • spotify-api save --uri <spotify_uri> — save item to library (track, album, artist, show, episode, playlist)
Delete Save to Spotify shows or episodes
  • When the user asks to delete a podcast, show, or episode Muse added through Save to Spotify, use the installed save-to-spotify CLI. These are managed by the CLI, not spotify-api, podcasters.spotify.com, or creators.spotify.com.
  • If save-to-spotify reports that show and episode management is unavailable, explain the limitation directly; do not ask the user to reconnect or retry.
  • Always use JSON mode. Start with save-to-spotify --json shows; this inventory contains the shows created through Save to Spotify. Match by title and ask the user to disambiguate if more than one show matches.
  • Inspect the selected show with save-to-spotify --json shows get <show-id>. List its episodes when needed with save-to-spotify --json episodes --show-id <show-id> and match episodes by title.
  • To delete one episode, resolve its title and owning show unambiguously, then run save-to-spotify --json episodes delete <episode-id> --show-id <show-id>.
  • To delete the whole show, resolve the show unambiguously and tell the user that all of its episodes will be removed, then run save-to-spotify --json shows delete <show-id>. This command deletes the show and its episodes; do not delete each episode first.
  • A {"status":"deleted"} response means Spotify accepted the deletion, but its listings can take about a minute to update. Poll the relevant inventory every 5–10 seconds for up to 60 seconds: use episodes --show-id <show-id> for an episode or shows for a show. Confirm completion only after the deleted ID is absent. If it is still listed after 60 seconds, tell the user the deletion was accepted and is still propagating; do not send the delete again.
  • Show and episode IDs are internal command handles. Refer to content by title in user-facing replies. A CLI deletion removes the Spotify copy only; it does not delete Muse's local audio or an independently published RSS feed.
Collections (Playlists)
  • spotify-api create-collection --name <name> — create a new playlist
  • spotify-api add-to-collection --collection-uri <uri> --uris <uri1,uri2,...> [--position-type BEFORE_UID|AFTER_UID --position-uid <uid>] [--revision-id <rev>] — add items to a playlist
  • spotify-api update-collection --collection-uri <uri> --name <new_name> — rename a playlist
Playback Control
  • spotify-api play [--context-uri <uri>] [--uid <uid>] [--target-device-id <id>] — start playback (optionally of a specific album/playlist/context, starting from a specific item UID, on a specific device)
  • spotify-api pause — pause playback on the active device
  • spotify-api resume — resume paused playback on the active device
  • spotify-api skip — skip to the next item
  • spotify-api previous — go to the previous item
  • spotify-api seek --position-ms <ms> — seek to a position in the currently playing item
  • spotify-api set-volume --volume-percent <0-100> [--target-device-id <id>] — set playback volume
  • spotify-api transfer --target-device-id <id> — transfer playback to a different device
  • spotify-api now-playing — get the current playback state (track, progress, device, etc.)
  • spotify-api devices — list available Spotify Connect devices
  • spotify-api get-queue — get the current playback queue
  • spotify-api add-to-queue --item-uri <spotify_uri> — add an item to the playback queue
Wearable (glasses) playback
  • spotify-api wearable-play [--query <text>] [--uri <spotify_uri>] — resolve a track and emit the music_fulfillment node-command params for a glasses cold-start. This is the command to use when the playback request originates from wearables/glasses. It does not itself start playback: it resolves the request to an allowlisted Spotify URI and returns node_command ("music_fulfillment") plus node_params ({action_name:"play", partner_name:"spotify", interaction_id, partner_payload:<uri>}). Pass those straight into devices invoke music_fulfillment, which routes to the on-device partner-fulfillment engine (c50 → glasses → Spotify over EA/iAP2). Prefer --uri when you already have a Spotify URI. For free text, use the unambiguous form --query "<track> by <artist>"; this prevents a blocked original from resolving to a cover or karaoke track. Fails closed with not_connected if Spotify is not linked. If Spotify returns no matching playable track, it returns not_found plus catalog_fallback; do not invoke the device in that case. Unlike play/add-to-queue, this does not require a Spotify Connect device — it cold-starts the app on the glasses.
  • Invoke exactly once on the node whose command list advertises music_fulfillment; on the current test VM this is Meta Glasses 00R9, not Pixel. Do not try Pixel first unless Pixel explicitly advertises music_fulfillment, and do not retry on another device after a timeout — the glasses wake-up path can time out in Muse while still waking c50 and starting playback. Verify with spotify-api now-playing or user audio confirmation instead of retrying.
Known unavailable or conditional commands
  • home, recommendations, check-saved, remove, section-items, and reorder-collection are not exposed by spotify-api because they are unsupported or unreliable with the current Partner API responses/scopes. Use search, library, experience, next-page, and playlist create/add/update instead. This does not apply to shows and episodes created through Save to Spotify; delete those with save-to-spotify as described above.
  • play and add-to-queue require an active Spotify Connect device; use spotify-api devices first and prefer an explicit --target-device-id where supported. set-volume should also prefer --target-device-id.

Auth

spotify-api owns the Spotify connection workflow.

Auth contract:

  • Run spotify-api status first.
  • If not connected, run spotify-api authorize-url. Present the returned URL as a hyperlink with the text [Connect to Spotify](<connect_url>); do not show or paste the raw URL.
  • If playlist changes stop working after a reconnect, re-link so the token is minted with the latest requested scopes.
  • If the user wants to disconnect, run spotify-api disconnect. When disconnect_url is present, replace <disconnect_url> with the returned URL and share only this Markdown link: [Disconnect Spotify](<disconnect_url>); explain that the user must open it to confirm. When no URL is returned and the command succeeds, spotify-api status may be used to verify the disconnection.
  • Do not pass secrets on the command line.

Operating Rules

  1. Verify connection with spotify-api status before spotify-api data calls. For Save to Spotify management, start with save-to-spotify --json shows; if it reports a token or connection error, ask the user to connect Spotify in Settings → Connections → Spotify, then retry. If it reports that management is unavailable, do not present reconnection as a fix.
  2. Browse with search, library, and experience. Extract relevant items; never dump full responses.
  3. When a section includes next, call spotify-api next-page --url <next> to fetch additional pages. Continue following next until it is absent or the user has enough results.
  4. The documented Save to Spotify show and episode deletions may proceed from a clear, unambiguous user request without an additional confirmation. Do not promise unsupported spotify-api cleanup (unsave/remove, playlist deletion, remove-from-playlist, or reordering).
  5. Playback requires an active Spotify Connect device. Run spotify-api devices or spotify-api now-playing first and prefer an explicit --target-device-id where supported.
  6. Every response referencing existing Spotify content must include a Spotify deep link. Use spotify_url, or construct https://open.spotify.com/{type}/{id} from spotify_uri. A Save to Spotify deletion confirmation is the exception: the resource no longer exists, so name the deleted title without exposing its internal ID or constructing a dead link.
  7. Reference Spotify by name ("on Spotify" / "via Spotify") whenever you surface content or confirm an action.
  8. Flag explicit content: when is_explicit: true, show [E] next to the title.
  9. After any playback change (play, skip, previous, resume), follow up with now-playing and name the track plus creator; never confirm with only a device name.
  10. A successful playback response means the action took effect. If playback still errors after CLI retries, surface it once in plain user-facing language. If an action is not available, point the user to the Spotify app rather than speculating.
  11. If an exact song or album by an artist is missing from search, or a known Spotify item cannot be resolved for playlist or playback actions, do not substitute a cover, tribute, karaoke, or similarly named item. Relay catalog_fallback.message verbatim; it already renders the approved Muse copy with Markdown links to the requested content search and the exact artist page. Do not add a cause, preamble, follow-up, or alternative wording; blame the user's account; suggest reconnecting; or claim the item was removed from Spotify.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Spotify AI skill do?

Discover, search, and manage Spotify music, podcasts, and playlists, including deleting shows or episodes you created with Save to Spotify.

Why use Spotify on TypingMind?

Because you install it once and use it with any model. Spotify is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Spotify in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/spotify. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Spotify?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Spotify?

As many as you like. As long as a model supports skills, you can use Spotify with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Spotify AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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