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daily-song-recommender每日歌曲推荐

Agent Skill

daily-song-recommender 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

2,851

周安装

120

GitHub Stars

公开资料未说明

下载量

998
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:daily-song-recommender(每日歌曲推荐)
来源仓库:https://github.com/yjin94606-art/daily-song-recommender
安装命令:
openclaw skills install daily-song-recommender
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 daily-song-recommender

简介

每日歌曲推荐技能。根据用户输入的音乐风格偏好,从多个平台综合推荐歌曲。当用户说"推荐首歌"、"今天听什么"、"给我放首歌"、"随机推荐"等时触发。用户提供喜欢的风格(流行/摇滚/爵士/古典/电子/民谣/说唱/日文/韩文/中文等),AI会综合各平台推荐合适的歌曲。

SKILL.md

name
daily-song-recommender
version
1.1.0
description
AI-powered daily song recommendation skill. Searches the web for fresh music recommendations based on user's style preferences. Triggered when user says "recommend a song", "what should I listen to today", "play some rock", "I'm into jazz lately", "random song", "new music recommendations", etc. Supports all genres: POP, Rock, Jazz, Classical, Electronic, Folk, Rap, J-Pop, K-Pop, Chinese, Indie, etc. AI searches the internet for the latest and trending songs matching the user's taste.

Daily Song Recommender 🎵

AI-powered music recommendation that searches the web for fresh recommendations!

How It Works

  1. User expresses music preference (or asks for random recommendation)
  2. AI searches the web for latest/trending songs matching that style
  3. AI presents 3-5 personalized recommendations with links and reasons

Trigger Examples

  • "recommend a song"
  • "what should I listen to today"
  • "play some rock music"
  • "I'm into jazz lately, any suggestions?"
  • "new indie rock recommendations"
  • "K-pop suggestions please"
  • "surprise me with something"
  • "what's trending in pop music"

Recommendation Process

Step 1: Understand Preference

Ask clarifying questions if needed:

  • "What genre are you in the mood for?"
  • "Any specific decade or style?"
  • "Do you prefer vocals or instrumental?"

Step 2: Web Search

Use web_search tool to find current recommendations:

Query: "best rock songs 2024 recommendations"
Query: "top jazz albums suggestions"
Query: "new K-pop songs trending"

Step 3: Present Recommendations

Format output like this:

🎵 Today's Recommendations

1. 【Song/Album Name】
   Artist: xxx
   Why it's great: xxx
   🔗 Listen: [link]

2. 【Song/Album Name】
   Artist: xxx
   Why it's great: xxx
   🔗 Listen: [link]

3. 【Song/Album Name】
   Artist: xxx
   Why it's great: xxx
   🔗 Listen: [link]

---
💡 Sources: [where recommendations came from]

Search Query Templates

GenreSearch Query Examples
POP"top pop songs 2024 recommendations", "best new pop music"
Rock"best rock songs 2024", "new rock music recommendations"
Jazz"best jazz albums 2024", "new jazz music suggestions"
Classical"best classical music 2024", "contemporary classical recommendations"
Electronic"best electronic music 2024", "top EDM tracks"
Folk/Indie"best indie folk 2024", "new acoustic music"
Rap/Hip-Hop"best rap songs 2024", "top hip-hop releases"
J-Pop"best J-pop 2024", "trending Japanese music"
K-Pop"best K-pop 2024", "new Korean music releases"
Chinese"best Chinese songs 2024", "new Mandopop releases"
Vintage"best classic songs all time", "timeless music recommendations"
Chill"best chill music 2024", "relaxing ambient playlists"

Tips

  • Always search for current/recent recommendations when possible
  • Include release year in search for freshness
  • Check multiple sources for variety
  • Provide direct links to streaming platforms when found
  • Give 3-5 recommendations per session
  • Mix well-known artists with emerging ones for discovery

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

79.27%
按下载量换算791

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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