據 AlphaMoat 統計,截至 2026-09,Spotify History 累計下載 3,707 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,896 位,在「資料分析」分類(399 個)中排名第 221 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 121 | 3707 | 4 | - |
| SkillHub ↗ | 136 | 3706 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
完成一次 OAuth 授權後,技能可查詢最近播放、按時間範圍檢視常聽藝人或曲目,並基於音樂偏好生成推薦。訪問令牌會儲存在本地並自動重新整理。請注意,授權範圍可能超過音樂歷史所需,原始 JSON 命令還可呼叫授權令牌允許的其他端點;客戶端憑據和令牌也會持久儲存在磁碟。請僅授予所需的最小許可權,在可信裝置上使用,保護憑據檔案,並在呼叫原始端點前確認資料範圍。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3707 | — | 4 |
| 2026-08 | 3626 | +4.3% | 4 |
| 2026-07 | 3476 | +7.3% | 4 |
| 2026-06 | 3241 | +4.3% | 4 |
| 2026-05 | 3106 | — | 4 |
| 2026-03 | 2652 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
AdMapix 的取數層:把廣告與應用相關的查詢轉成介面呼叫,只回原始 JSON。
透過 Tavily 搜尋公開網頁,並回傳含連結與摘要的結構化結果。
把資料庫、表格與匯出的原始資料變成可決策結論的資料分析技能。
用 Yahoo Finance 資料做股票與加密貨幣分析、組合跟蹤的技能。
管理本地自選股清單,並按代碼彙總同花順行情與近期表現的技能。
知了標訊:查詢和分析招標、中標、供應商與採購市場資訊。
用命令列監控部落格與 RSS/Atom 源的更新。
彙總 Codex 或 Claude 按模型計費的使用成本。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。