Daily Song Recommender
/install daily-song-recommender
Daily Song Recommender 🎵
AI-powered music recommendation that searches the web for fresh recommendations!
How It Works
- User expresses music preference (or asks for random recommendation)
- AI searches the web for latest/trending songs matching that style
- 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
| Genre | Search 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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install daily-song-recommender - After installation, invoke the skill by name or use
/daily-song-recommender - Provide required inputs per the skill's parameter spec and get structured output
What is 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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install Daily Song Recommender?
Run "/install daily-song-recommender" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Daily Song Recommender free?
Yes, Daily Song Recommender is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Daily Song Recommender support?
Daily Song Recommender is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Daily Song Recommender?
It is built and maintained by yjin94606-art (@yjin94606-art); the current version is v1.1.0.