據 AlphaMoat 統計,截至 2026-09,Music 累計下載 4,107 次、獲 5 個星標,在全部 5,078 個 AI 技能中排名第 2,462 位,在「生活服務」分類(246 個)中排名第 94 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 116 | 3474 | 4 | - |
| SkillHub ↗ | 116 | 4107 | 5 | — |
各平台的計數口徑不同,統計時間不一致。
該技能涵蓋發現佇列、歌曲與專輯收藏、情境播放列表、演出記錄和音樂記憶。內容可能儲存在本地檔案中;分享或同步前應檢查其中的個人偏好與備註。
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。 該技能有同名的其他版本,調整前的資料歸屬當前下載量最大的這一個。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4107 | — | 5 |
| 2026-08 | 3631 | +6.0% | 5 |
| 2026-07 | 3427 | +11.3% | 5 |
| 2026-06 | 3079 | +8.1% | 4 |
| 2026-05 | 2849 | — | 4 |
| 2026-03 | 2007 | — | 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: Music
description: Build a personal music system for tracking discoveries, favorites, concerts, and listening memories.
metadata: {"clawdbot":{"emoji":"🎵","os":["linux","darwin","win32"]}}
---
## Core Behavior
- User shares song/album → offer to save with context
- User asks for music → check their saved collection first
- User mentions concert → track in events- Create `~/music/` as workspace
## File Structure
```
~/music/
├── discover/
│ └── to-listen.md
├── favorites/
│ ├── songs.md
│ ├── albums.md
│ └── artists.md
├── playlists/
│ ├── workout.md
│ ├── focus.md
│ └── road-trip.md
├── concerts/
│ ├── upcoming.md
│ └── attended/
├── collection/
│ └── vinyl.md
└── memories/
└── 2024.md
```
## Discovery Queue
```markdown
# to-listen.md
## Albums
- Blonde — Frank Ocean (recommended by Jake)
- Kid A — Radiohead (classic I never explored)
## Artists to Explore
- Japanese Breakfast — heard one song, dig deeper
- Khruangbin — background music recs
```
## Favorites Tracking
```markdown
# songs.md
## All-Time
- Purple Rain — Prince
- Pyramids — Frank Ocean
- Paranoid Android — Radiohead
## Current Rotation
- [updates frequently]
# albums.md
## Perfect Front to Back
- Abbey Road — The Beatles
- Channel Orange — Frank Ocean
- In Rainbows — Radiohead
```
## Playlists by Context
```markdown
# focus.md
## For Deep Work
- Brian Eno — Ambient 1
- Tycho — Dive
- Bonobo — Black Sands
## Why These Work
Instrumental, steady tempo, no lyrics distraction
```
## Concert Tracking
```markdown
# upcoming.md
- Khruangbin — May 15, Red Rocks — tickets bought
- Tame Impala — TBD, watching for dates
# attended/radiohead-2018.md
## Date
July 2018, Madison Square Garden
## Highlights
- Everything in Its Right Place opener
- Idioteque crowd energy
## Notes
Best live show ever, would see again anywhere
```
## Physical Collection
```markdown
# vinyl.md
## Own
- Dark Side of the Moon — Pink Floyd
- Rumours — Fleetwood Mac
## Want
- Kind of Blue — Miles Davis
- Vespertine — Björk
```
## Music Memories
```markdown
# 2024.md
## Summer Soundtrack
- Brat — Charli XCX
- GNX — Kendrick
## Discovery of the Year
Japanese Breakfast — finally clicked
```
## By Mood/Activity
- Workout: high energy, tempo 120+
- Focus: instrumental, ambient, lo-fi
- Cooking: upbeat, familiar favorites
- Sad hours: cathartic, emotional
- Party: crowd-pleasers, danceable
- Road trip: singalongs, classics
## What To Surface
- "You saved that album 3 months ago, still unlistened"
- "Artist you like is touring near you"
- "Last time you needed focus music you liked Tycho"
- "This sounds like artists in your favorites"
## Artist Deep Dives
When user discovers artist they love:
- Map discography chronologically
- Note fan-favorite albums
- Flag essential tracks for sampling
- Track which albums explored vs pending
## What To Track Per Entry
- Song/album/artist name
- How discovered (who, where, when)
- Context (mood it fits, activity)
- Rating after listening
- Standout tracks on albums
## Progressive Enhancement
- Week 1: list current favorite songs/albums
- Ongoing: save discoveries with source
- Build mood-based playlists over time
- Log concerts attended
## What NOT To Do
- Assume streaming platform integration
- Push genres they don't enjoy
- Over-organize — simple lists work
- Forget to ask what they're in the mood for
用 curl 直接查詢公開天氣服務,取得目前天氣與預報。
在區域網裡發現並控制 Sonos 音箱的命令列工具。
以六爻占卜方式作答的技能。
用本地 JSON 記錄飲水量與睡眠的技能。
在本地同步並查詢 CalDAV 日曆的命令列技能。
在 macOS 上透過 remindctl 管理 Apple 提醒事項的技能。
travel-cn 聚合去哪兒/攜程/飛豬等中國旅行平台的資料查詢,覆蓋機票、酒店、火車票、景點門票與行程規劃。
在終端裡搜尋與控制 Spotify 播放的技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在保留公式、格式和活頁簿結構的前提下建立、檢查或編輯 Excel 檔案。
處理 Word 與 DOCX 文件的作業指南,著重維持樣式、編號與版面。
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。
協助編輯 PowerPoint 簡報,並在交付前檢查版面是否正常呈現。
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。