← 返回
未分类 中文

Daily Song Recommender

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。
每日歌曲推荐:根据用户音乐风格偏好,多平台综合推荐歌曲。用户说“推荐首歌”“今天听什么”“给我放首歌”“随机推荐”时触发,支持流行、摇滚、爵士、古典、电子、民谣、说唱、日韩中等风格。
yjin94606-art yjin94606-art 来源
未分类 clawhub v1.1.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 366
下载
💾 0
安装
1
版本
#latest

概述

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

版本历史

共 1 个版本

  • v1.1.0 当前
    2026-05-07 10:22 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

dev-programming

Github

steipete
使用 `gh` CLI 与 GitHub 交互,通过 `gh issue`、`gh pr`、`gh run` 和 `gh api` 管理议题、PR、CI 运行及高级查询。
★ 676 📥 325,397
ai-agent

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,378 📥 320,391
ai-agent

Skill Vetter

spclaudehome
AI智能体技能安全预审工具。安装ClawdHub、GitHub等来源技能前,检查风险信号、权限范围及可疑模式。
★ 1,226 📥 267,784