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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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install braydoncoyer/spotify-historyInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Access Spotify listening history and get personalized recommendations.
Run the setup wizard:
bash skills/spotify-history/scripts/setup.sh
This guides you through:
Create Spotify Developer App
Clawd (or any name)Personal assistant integration
http://127.0.0.1:8888/callback ⚠️ Use exact URL!Store Credentials
Option A: Credentials file (recommended)
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
# Add to ~/.zshrc or ~/.bashrc
export SPOTIFY_CLIENT_ID="your_client_id"
export SPOTIFY_CLIENT_SECRET="your_client_secret"
Authenticate
With browser (local machine):
python3 scripts/spotify-auth.py
Headless (no browser):
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.
# 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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Access your Spotify listening history, top artists/tracks, and get personalized recommendations via the Spotify Web API.
# Run setup wizard
bash skills/spotify-history/scripts/setup.sh
# Test it
python3 scripts/spotify-api.py recent
python3 scripts/spotify-api.py top-artists
python3 scripts/spotify-api.py recommend
When you ask your agent about music:
The agent will:
See SKILL.md for full documentation, troubleshooting, and advanced usage.
MIT
# 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...# Spotify History & Recommendations Access your Spotify listening history, top artists/tracks, and get personalized recommendations via the Spotify Web API. ## Quick Start ```bash # Run setup wizard bash skills/spotify-history/scripts/setup.sh # Test it python3 scripts/spotify-api.py recent python3 scripts/spotify-api.py top-artists python3 scripts/spotify-api.py recommend ``` ## What It Does - **Listening History**: See what you've been playing recently - **Top Artists/Tracks**: Your most-played artists and tracks (4 weeks, 6 months, or all time) - **Recommendations**: Get personalized music recommendations based on your taste - **Auto-Refresh**: Tokens refresh automatically - set up once, works forever ## Requirements - Python 3.6+ - Spotify account (free or premium) - One-time setup: Spotify Developer App (free, takes 2 minutes) ## Agent Integration When you ask your agent about music: - "What have I been listening to?" - "Who are my top artists?" - "Recommend new music" The agent will: 1. Fetch your Spotify data 2. Analyze your taste 3. Combine API data with music knowledge for personalized recommendations ## Documentation See [SKILL.md](./SKILL.md) for full documentation, troubleshooting, and advanced usage. ## License MIT
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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