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
CODEBLOCK0
Discovery Queue
CODEBLOCK1
Favorites Tracking
CODEBLOCK2
Playlists by Context
CODEBLOCK3
Concert Tracking
CODEBLOCK4
Physical Collection
CODEBLOCK5
Music Memories
CODEBLOCK6
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
核心行为
- - 用户分享歌曲/专辑 → 提供保存并附上背景信息
- 用户询问音乐 → 先查看其已保存的收藏
- 用户提及演唱会 → 在活动列表中记录
- 创建 ~/music/ 作为工作目录
文件结构
~/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
发现队列
markdown
to-listen.md
专辑
- - Blonde — Frank Ocean(Jake推荐)
- Kid A — Radiohead(从未探索过的经典)
待探索艺人
- - Japanese Breakfast — 听过一首歌,想深入了解
- Khruangbin — 背景音乐推荐
收藏追踪
markdown
songs.md
永恒经典
- - Purple Rain — Prince
- Pyramids — Frank Ocean
- Paranoid Android — Radiohead
当前循环
albums.md
从头到尾完美无缺
- - Abbey Road — The Beatles
- Channel Orange — Frank Ocean
- In Rainbows — Radiohead
按场景分类歌单
markdown
focus.md
深度工作专用
- - Brian Eno — Ambient 1
- Tycho — Dive
- Bonobo — Black Sands
选择理由
纯器乐、节奏稳定、无歌词干扰
演唱会追踪
markdown
upcoming.md
- - Khruangbin — 5月15日,红岩剧场 — 已购票
- Tame Impala — 待定,关注日期
attended/radiohead-2018.md
日期
2018年7月,麦迪逊广场花园
精彩瞬间
- - 开场曲《Everything in Its Right Place》
- 《Idioteque》的现场气氛
备注
有史以来最棒的现场演出,愿意再去任何地方看一次
实体收藏
markdown
vinyl.md
已拥有
- - Dark Side of the Moon — Pink Floyd
- Rumours — Fleetwood Mac
想入手
- - Kind of Blue — Miles Davis
- Vespertine — Björk
音乐回忆
markdown
2024.md
夏日配乐
- - Brat — Charli XCX
- GNX — Kendrick
年度发现
Japanese Breakfast — 终于听懂了
按心情/活动分类
- - 健身:高能量,节奏120+
- 专注:纯器乐、氛围、低保真
- 烹饪:欢快、熟悉的最爱
- 伤感时刻:宣泄情感、触动人心
- 派对:大众喜爱、适合跳舞
- 公路旅行:适合跟唱、经典老歌
需要提醒的内容
- - 你三个月前保存了那张专辑,还没听过
- 你喜欢的艺人正在你附近巡演
- 上次你需要专注音乐时,你很喜欢Tycho
- 这听起来像你收藏中的艺人风格
艺人深度探索
当用户发现喜欢的艺人时:
- - 按时间顺序梳理作品目录
- 标注粉丝最爱的专辑
- 标记必听曲目供试听
- 追踪已探索和待探索的专辑
每条记录需追踪的内容
- - 歌曲/专辑/艺人名称
- 如何发现(谁、哪里、何时)
- 背景信息(适合的心情、活动)
- 听完后的评分
- 专辑中的突出曲目
渐进式完善
- - 第1周:列出当前最喜欢的歌曲/专辑
- 持续进行:保存发现的新内容并注明来源
- 逐步建立基于心情的歌单
- 记录参加过的演唱会
禁止事项
- - 假设已接入流媒体平台
- 推荐用户不喜欢的音乐类型
- 过度整理——简单的列表就足够
- 忘记询问用户当下的心情