研究检索操作浏览器clawhub未标认证来源可访问clear审计通过

spotify-openclaw（spotify OpenClaw 搜索）

Agent Skill

spotify-openclaw 用于查找、检索和筛选相关信息，适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

10,255

周安装

436

GitHub Stars

公开资料未说明

下载量

3,593

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

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：spotify-openclaw（spotify OpenClaw 搜索）
来源仓库：https://github.com/mixx85/spotify-openclaw
安装命令：
openclaw skills install spotify-openclaw
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 spotify-openclaw

简介

集成 OpenClaw 框架的深度音乐智能管理系统，支持高级播放控制。

涵盖按名称/URI/播放列表播放、音量调节、队列管理等全面功能。
结合自然语言理解自动处理复杂音乐操作指令组合。
需要绑定有效的 Spotify Premium 账户与 API 访问权限。
spotify-openclaw 属于研究检索类 Skill，可作为该场景下的辅助能力补充。

SKILL.md

name: spotify-openclaw
description: Full Spotify Premium control + deep music intelligence for OpenClaw. Playback: play by name/URI/playlist, pause, next, prev, volume, shuffle, queue. Auto-launches Spotify if closed. Analysis: top tracks & artists across 3 time periods, genre profile, liked songs breakdown. Discovery: find similar music via related artists graph — works without Spotify's blocked Recommendations API. One-command playlist builder. Credentials stored in macOS Keychain. Triggers: play, pause, next, volume, shuffle, what's playing, top tracks, genre analysis, find similar music, create playlist.
homepage: https://github.com/mixx85/spotify-openclaw
metadata

spotify-openclaw

Full Spotify Premium control + music intelligence for OpenClaw.

Control playback, analyze your taste, and discover new music — all from chat. 100% local, no extra cloud services.

✨ What makes this different

Feature	This skill	Basic Spotify skills
Playback control	✅ play/pause/next/prev/volume/shuffle/queue	✅
Auto-launch Spotify	✅ opens app if closed, waits, plays	❌
Taste analysis	✅ top tracks & artists × 3 time periods	❌
Genre profile	✅ full genre breakdown	❌
Music discovery	✅ works without blocked Recommendations API	❌
Liked songs search	✅ filter by artist, count, stats	❌
One-command playlists	✅ creates + fills in one command	❌
Multi-language	✅ English + Russian voice triggers	❌

📦 Requirements

macOS with Spotify Premium
Free Spotify Developer app — developer.spotify.com/dashboard
Python 3 + spotipy (pip install spotipy)

⚙️ Setup (one-time)

1. Create Spotify app at developer.spotify.com → add redirect URI: http://127.0.0.1:8888/callback

2. Store credentials in macOS Keychain:

security add-generic-password -a openclaw -s openclaw.spotify.client_id -w "YOUR_CLIENT_ID"
security add-generic-password -a openclaw -s openclaw.spotify.client_secret -w "YOUR_CLIENT_SECRET"

3. Copy script to OpenClaw scripts folder:

cp spotify.py ~/.openclaw/scripts/spotify.py

4. First auth (browser opens once, then token is cached):

python3 ~/.openclaw/scripts/spotify.py now

⚡ Quick start

# Play something
python3 ~/.openclaw/scripts/spotify.py play "Massive Attack"

# What's playing now
python3 ~/.openclaw/scripts/spotify.py now

# Discover new music based on your taste
python3 ~/.openclaw/scripts/spotify.py discover

# Build this month's playlist (creates + fills in one command)
python3 ~/.openclaw/scripts/spotify.py make-playlist "Top March 2026" short 20

🎮 All Commands

Playback

python3 ~/.openclaw/scripts/spotify.py play                    # resume
python3 ~/.openclaw/scripts/spotify.py play "track name"       # search & play
python3 ~/.openclaw/scripts/spotify.py play spotify:track:URI  # by URI
python3 ~/.openclaw/scripts/spotify.py pause
python3 ~/.openclaw/scripts/spotify.py next
python3 ~/.openclaw/scripts/spotify.py prev
python3 ~/.openclaw/scripts/spotify.py volume 70
python3 ~/.openclaw/scripts/spotify.py volume up / down
python3 ~/.openclaw/scripts/spotify.py shuffle on / off
python3 ~/.openclaw/scripts/spotify.py queue "track name"
python3 ~/.openclaw/scripts/spotify.py now
python3 ~/.openclaw/scripts/spotify.py devices

Analysis

python3 ~/.openclaw/scripts/spotify.py top-tracks [short|medium|long] [limit]
python3 ~/.openclaw/scripts/spotify.py top-artists [short|medium|long] [limit]
python3 ~/.openclaw/scripts/spotify.py genres [short|medium|long]
python3 ~/.openclaw/scripts/spotify.py recent [limit]
python3 ~/.openclaw/scripts/spotify.py liked [limit]
python3 ~/.openclaw/scripts/spotify.py liked-all
python3 ~/.openclaw/scripts/spotify.py liked-by-artist "Artist Name"
python3 ~/.openclaw/scripts/spotify.py playlists
python3 ~/.openclaw/scripts/spotify.py search "query" [track|artist|album] [limit]
python3 ~/.openclaw/scripts/spotify.py track-info URI

Periods: short = 4 weeks · medium = 6 months · long = all time

Discovery & Playlists

# Discover by genre profile
python3 ~/.openclaw/scripts/spotify.py discover

# Expand from artist (depth=hops, n=tracks per artist)
python3 ~/.openclaw/scripts/spotify.py discover "Portishead" 3 3

# Related artists
python3 ~/.openclaw/scripts/spotify.py related-artists "The Cure" 10

# Top tracks of any artist
python3 ~/.openclaw/scripts/spotify.py artist-top-tracks "Massive Attack" 5

# Create playlist from top tracks — one command, creates + fills
python3 ~/.openclaw/scripts/spotify.py make-playlist "Top March 2026" short 20

# Manage playlists
python3 ~/.openclaw/scripts/spotify.py create-playlist "My Playlist" "Description"
python3 ~/.openclaw/scripts/spotify.py add-to-playlist PLAYLIST_ID URI1 URI2

Note: Spotify's recommendations and audio_features APIs are blocked for new developer apps. This skill uses related_artists + artist_top_tracks for discovery instead — no workarounds needed.

💡 Agent tips

Chain related-artists → artist-top-tracks → add-to-playlist for smart discovery playlists
Use liked-by-artist to build themed playlists from your library
genres long gives the most accurate taste profile
Use playlists to get playlist IDs before playing one

ALWAYS run python3 ~/.openclaw/scripts/spotify.py [cmd] — never respond with text only.

适合场景

OpenClaw 用户查找和安装 Skill 时

用户想查找某类 Agent Skill 时

需要根据任务场景推荐可安装能力包时

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

76.88%

按下载量换算2,762

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力，使用时可能读取或操作网页内容，需要在受控环境中确认权限边界。

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

GitHub 仓库

github.com

/mixx85/spotify-openclaw

SKILL.md 来源

clawhub.ai

/mixx85/spotify-openclaw

继续浏览同类 Skills

更多研究检索 Skills（73,675）返回 Skills 目录

上一个 Skill

spotify-news-digest（Spotify 新闻摘要）

spotify-news-digest 用于处理浏览器自动化、网页检查和页面信息提取，适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

下一个 Skill

spotify-player（Spotify 播放器）

spotify-player 用于查找、检索和筛选相关信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。