什么是 音乐 - 个人资料库与演唱会追踪器？

此技能将您的 AI 助手转变为专属的音乐策划者和归档员。通过利用 Openclaw Skills，它在您的本地文件系统中创建一个结构化环境，以追踪音乐旅程的方方面面。它超越了简单的流媒体播放，专注于有意识的聆听、上下文推荐，以及为您最喜爱的艺术家、专辑和现场体验建立永久记录。

该系统旨在与平台无关，侧重于音乐的元数据和情感背景，而不仅仅是播放。无论您是追踪朋友的新推荐，还是记录传奇现场表演的高光时刻，此技能都能确保您的音乐历史以人类可读、可移植的格式保存下来。

下载入口:https://github.com/openclaw/skills/tree/main/skills/ivangdavila/music

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

音乐 - 个人资料库与演唱会追踪器 应用场景

• 记录朋友推荐的歌曲，确保它们永远不会迷失在聊天记录中。
• 为您的实体黑胶收藏和购买清单建立结构化数据库。
• 创建已参加演唱会的历史档案，包含个人高光时刻和演出曲目笔记。
• 根据过去的听歌习惯和情感背景生成特定心情的播放列表。
• 绘制艺术家的完整作品年表，系统地探索其创作生涯。

1. 助手在 ~/music/ 初始化本地工作区，包含用于发现、收藏和活动的特定目录。
2. 当您分享歌曲或专辑时，助手会提示输入上下文（如推荐人或当前心情），并将其保存到相应的 Markdown 文件中。
3. 对于提到的演唱会，助手会追踪即将到来的日期，或通过包含日期、场地和亮点的详细记忆日志归档过去的演出。
4. 在音乐发现过程中，助手会进行艺术家深度挖掘，按时间顺序排列作品集，并标记必听曲目。
5. 系统会定期重新推介未听过的专辑，或根据您当前的活动或心情从您的收藏中建议音乐。

音乐 - 个人资料库与演唱会追踪器 配置指南

要在您的环境中启用此技能，请确保您拥有激活的助手配置文件。该技能将自动管理 Linux、macOS 或 Windows 上的目录结构。

# 助手将使用以下命令初始化您的工作区：
mkdir -p ~/music/{discover,favorites,playlists,concerts,collection,memories}

由于系统运行在元数据和本地 Markdown 文件上，因此不需要流媒体 API 密钥。

音乐 - 个人资料库与演唱会追踪器 数据架构与分类体系

该技能使用 Markdown 文件将数据组织成清晰的层级文件夹结构，以实现最大程度的可移植性：

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

# 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

# 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

# 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

# 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

# vinyl.md
## Own
- Dark Side of the Moon — Pink Floyd
- Rumours — Fleetwood Mac

## Want
- Kind of Blue — Miles Davis
- Vespertine — Bj?rk

Music Memories

# 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