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musicmusic 音频

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

总安装

67,764

周安装

2,852

GitHub Stars

4

下载量

23,729
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:music(music 音频)
来源仓库:https://github.com/ivangdavila/music
安装命令:
openclaw skills install music
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install music

简介

music 用于构建个人音乐系统,跟踪发现、收藏和聆听记录。

  • 适用于音乐偏好管理和播放列表整理等音频生成场景。
  • 通过 openclaw skills install music 安装使用。
  • 建议提前导入现有音乐库以发挥完整功能。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • music 属于音频生成类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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 — Björk

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

适合场景

01

生成背景音乐

02

生成歌曲或旋律

03

视频和播客配乐

04

社媒内容音频素材

能力概览

能力 1

调用音乐生成模型

能力 2

支持文本到音乐或歌曲生成

能力 3

提供 CLI 示例和使用场景

能力 4

适合音频内容工作流

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.69%
按下载量换算18,198

安全审计

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权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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