Coding

LastFM to Spotify Playlists

Try it

Build music recommendations and create Spotify playlists using Last.fm similarity and listening history.

What it does

This skill runs **directly via local Python scripts**.

The skill document

Execution Model

This skill runs directly via local Python scripts.

Valid entrypoints:

  • python run_pipeline.py ...
  • python auth.py

Absolute rules

  • Do NOT use ACP
  • Do NOT request or require an agentId
  • Do NOT propose manual workflows
  • Do NOT suggest alternative scripts or paths
  • Do NOT reference any scripts/ directory
  • Do NOT use python -m module execution
  • Do NOT assume the package must be installed

All commands must be executed from the root of this skill folder.


Critical Behavior Rules

If the user asks for:

  • creating a playlist
  • adding songs to Spotify
  • saving results to Spotify

You MUST execute:

--output-mode spotify --create-playlist

Primary entrypoints:
- `python run_pipeline.py ...`
- `python auth.py ...`

This skill is intentionally organized as plain scripts plus helper modules:
- `run_pipeline.py`
- `auth.py`
- `lastfm.py`
- `spotify.py`
- `pipeline.py`
- `common.py`

No package installation is required.

# Purpose

This skill:
- uses Last.fm as the discovery engine
- expands seeds through `track.getsimilar`
- ranks merged candidates
- optionally matches results on Spotify
- optionally creates Spotify playlists

# Requirements

## Python
A normal local Python interpreter must be available.

## Last.fm credentials
Supported sources:
- environment variables:
  - `LASTFM_API_KEY`
  - `LASTFM_SHARED_SECRET`
  - `LASTFM_USERNAME`
- credentials file:
  - `~/.openclaw/lastfm-credentials.json`
- explicit file path via command flag:
  - `--creds `

Example file:
```json
{
  "api_key": "YOUR_LASTFM_API_KEY",
  "shared_secret": "YOUR_LASTFM_SHARED_SECRET",
  "username": "YOUR_LASTFM_USERNAME"
}

Spotify credentials

Needed only for Spotify matching or playlist creation.

Supported sources:

  • environment variables:
    • SPOTIFY_CLIENT_ID
    • SPOTIFY_CLIENT_SECRET
    • SPOTIFY_REDIRECT_URI
  • credentials file:
    • ~/.openclaw/spotify-credentials.json
  • explicit file path via command flag:
    • --spotify-creds

Saved token location:

  • ~/.openclaw/spotify-token.json
  • or explicit path via --spotify-token

Command Selection

1. Recommend from recent Last.fm listening

Use when the request is based on a user's recent scrobbles.

python run_pipeline.py recent-tracks   --user ""   --recent-count 10   --similar-per-seed 5   --final-limit 20   --output-mode lastfm-only

2. Recommend from a seed artist

Use when the request is based on one artist.

python run_pipeline.py artist-rule-c   ""   --seed-count 5   --similar-per-seed 10   --final-limit 20   --output-mode lastfm-only

3. Recommend from top artists

Use when the request is based on a user's broader taste profile.

python run_pipeline.py top-artists-blend   --user ""   --period 1month   --artist-count 5   --seed-count-per-artist 3   --similar-per-seed 5   --final-limit 20   --output-mode lastfm-only

4. Match recommendations to Spotify

Use when the user wants playable Spotify results but not necessarily a playlist.

python run_pipeline.py recent-tracks   --user ""   --recent-count 10   --final-limit 20   --output-mode spotify

5. Create Spotify playlist

Use when the user explicitly wants a playlist created.

python run_pipeline.py recent-tracks   --user ""   --recent-count 10   --final-limit 20   --output-mode spotify   --create-playlist   --playlist-name "Last.fm Recommendations"

6. Run Spotify auth

Use when Spotify token setup is required.

python auth.py

Optional explicit paths:

python auth.py   --spotify-creds ""   --spotify-token ""

Behavior Rules

  • Prefer Last.fm for recommendation discovery
  • Use Spotify only for:
    • search
    • playlist creation
    • playlist population
  • If the user only wants suggestions, use --output-mode lastfm-only
  • If the user wants Spotify results, use --output-mode spotify
  • If the user wants a playlist created, add --create-playlist
  • Never invent missing credentials
  • Never fall back to ACP or agent execution

Output Expectations

The scripts print JSON to stdout.

Return the JSON result directly or summarize it faithfully.

Typical fields include:

  • mode
  • user
  • seed_artist
  • seed_tracks
  • suggestions
  • matched_tracks
  • unmatched_tracks
  • playlist

Error Handling

If the script exits with an error:

  • surface stderr or the raised error message directly
  • do not retry through ACP
  • do not ask for an agentId
  • do not claim the skill is unavailable because it is not a package

Common expected failures:

  • missing Last.fm API key
  • missing Last.fm username
  • missing Spotify credentials
  • missing Spotify token
  • expired Spotify token without refresh token

Notes

This skill is intentionally script-based for reliability.

It should work as long as:

  • the skill folder is present
  • Python is present
  • credentials are configured
  • commands are executed from the skill folder root

It must not depend on package installation, editable installs, or import path manipulation.

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