Iván

Music

生活服務v1.0.0
作者:Iván更新於 2026-05-11music@clawhub_ivangdavila/music
個人計劃娛樂推薦效率習慣#Music

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。

累計安裝
116
累計下載
4107
星標
5
全站排名
#2,462
全站前 49% · 「生活服務」前 39%
平台累計安裝累計下載星標評論
ClawHub ↗11634744-
SkillHub ↗11641075—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

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

可以用來做什麼

  • 整理喜歡的歌曲和待聽專輯

什麼時候用

  • 希望記錄音樂發現、演出或聆聽回憶時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

概述該技能會維護哪些音樂記錄,並提醒我分享前檢查個人備註。

月度資料趨勢

累計下載4107
1839305742752026-03 · 累計下載 20072026-05 · 累計下載 28492026-06 · 累計下載 30792026-07 · 累計下載 34272026-08 · 累計下載 36312026-09 · 累計下載 410726-0326-09
星標5
4552026-03 · 星標 42026-05 · 星標 42026-06 · 星標 42026-07 · 星標 52026-08 · 星標 52026-09 · 星標 526-0326-09

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
2026-094107—5
2026-083631+6.0%5
2026-073427+11.3%5
2026-063079+8.1%4
2026-052849—4
2026-032007—4

SKILL.md 原文

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。

3.5 KB · ClawHub v1.0.0
---
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
展開全部(共 157 行)
- 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

「生活服務」分類下的熱門技能

Iván 的其他技能

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。