According to AlphaMoat, as of 2026-09, Spotify History has 3,707 downloads and 4 stars — ranked #2,896 of 5,078 AI skills overall, and #221 of 399 in Data Analysis.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 121 | 3.7K | 4 | - |
| SkillHub ↗ | 136 | 3.7K | 4 | — |
Platforms count differently and update at different times.
After one-time OAuth authorization, the skill can retrieve recent plays, show top artists or tracks over different time ranges, and generate recommendations based on listening preferences. Access tokens are stored locally and refreshed automatically. Note that granted scopes may exceed music-history needs and that the raw JSON command can call other endpoints allowed by the token; client credentials and tokens also persist on disk. Grant only the minimum required scopes, use a trusted machine, protect credential files, and confirm the data scope before using raw endpoints.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.7K | — | 4 |
| 2026-08 | 3.6K | +4.3% | 4 |
| 2026-07 | 3.5K | +7.3% | 4 |
| 2026-06 | 3.2K | +4.3% | 4 |
| 2026-05 | 3.1K | — | 4 |
| 2026-03 | 2.7K | — | 4 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: spotify-history description: Access Spotify listening history, top artists/tracks, and get personalized recommendations via the Spotify Web API. Use when fetching a user's recent plays, analyzing music taste, or generating recommendations. Requires one-time OAuth setup. --- # Spotify History & Recommendations Access Spotify listening history and get personalized recommendations. ## Setup (One-Time)
### Quick Setup (Recommended)
Run the setup wizard:
```bash
bash skills/spotify-history/scripts/setup.sh
```
This guides you through:
1. Creating a Spotify Developer App
2. Saving credentials securely
3. Authorizing access
### Manual Setup
1. **Create Spotify Developer App**
- Go to [developer.spotify.com/dashboard](https://developer.spotify.com/dashboard)
- Click **Create App**
- Fill in:
- **App name:** `Clawd` (or any name)
- **App description:** `Personal assistant integration`
- **Redirect URI:** `http://127.0.0.1:8888/callback` ⚠️ Use exact URL!
- Save and copy **Client ID** and **Client Secret**
2. **Store Credentials**
**Option A: Credentials file (recommended)**
```bash
mkdir -p credentials
cat > credentials/spotify.json <<EOF
{
"client_id": "your_client_id",
"client_secret": "your_client_secret"
}
EOF
chmod 600 credentials/spotify.json
```
**Option B: Environment variables**
```bash
# Add to ~/.zshrc or ~/.bashrc
export SPOTIFY_CLIENT_ID="your_client_id"
export SPOTIFY_CLIENT_SECRET="your_client_secret"
```
3. **Authenticate**
**With browser (local machine):**
```bash
python3 scripts/spotify-auth.py
```
**Headless (no browser):**
```bash
python3 scripts/spotify-auth.py --headless
```
Follow the prompts to authorize via URL and paste the callback.
Tokens are saved to `~/.config/spotify-clawd/token.json` and auto-refresh when expired.
## Usage
### Command Line
```bash
# Recent listening history
python3 scripts/spotify-api.py recent
# Top artists (time_range: short_term, medium_term, long_term)
python3 scripts/spotify-api.py top-artists medium_term
# Top tracks
python3 scripts/spotify-api.py top-tracks medium_term
# Get recommendations based on your top artists
python3 scripts/spotify-api.py recommend
# Raw API call (any endpoint)
python3 scripts/spotify-api.py json /me
python3 scripts/spotify-api.py json /me/player/recently-played
```
### Time Ranges
- `short_term` — approximately last 4 weeks
- `medium_term` — approximately last 6 months (default)
- `long_term` — all time
### Example Output
```
Top Artists (medium_term):
1. Hans Zimmer [soundtrack, score]
2. John Williams [soundtrack, score]
3. Michael Giacchino [soundtrack, score]
4. Max Richter [ambient, modern classical]
5. Ludovico Einaudi [italian contemporary classical]
```
## Agent Usage
When user asks about music:
- "What have I been listening to?" → `spotify-api.py recent`
- "Who are my top artists?" → `spotify-api.py top-artists`
- "Recommend new music" → `spotify-api.py recommend` + add your own knowledge
For recommendations, combine API data with music knowledge to suggest similar artists not in their library.
## Troubleshooting
### "Spotify credentials not found!"
- Make sure `credentials/spotify.json` exists **or** environment variables are set
- Credential file is checked first, then env vars
- Run `bash skills/spotify-history/scripts/setup.sh` to create credentials
### "Not authenticated. Run spotify-auth.py first."
- Tokens don't exist or are invalid
- Run: `python3 scripts/spotify-auth.py` (or with `--headless` if no browser)
### "HTTP Error 400: Bad Request" during token refresh
- Credentials changed or are invalid
- Re-run setup: `bash skills/spotify-history/scripts/setup.sh`
- Or update `credentials/spotify.json` with correct Client ID/Secret
### "HTTP Error 401: Unauthorized"
- Token expired and auto-refresh failed
- Delete token and re-authenticate:
```bash
rm ~/.config/spotify-clawd/token.json
python3 scripts/spotify-auth.py
```
### Headless / No Browser
- Use `--headless` flag: `python3 scripts/spotify-auth.py --headless`
- Manually open the auth URL on any device
- Copy the callback URL (starts with `http://127.0.0.1:8888/callback?code=...`)
- Paste it back when prompted
## Security Notes
- Tokens stored with 0600 permissions (user-only read/write)
- Client secret should be kept private
- Redirect URI uses `127.0.0.1` (local only) for security
## Required Scopes
- `user-read-recently-played` — recent listening history
- `user-top-read` — top artists and tracks
- `user-read-playback-state` — current playback
- `user-read-currently-playing` — currently playing track
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.