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Daily Song Recommender

作者 yjin94606-art · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install daily-song-recommender
功能描述
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。
使用说明 (SKILL.md)

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

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
安全使用建议
This skill appears coherent and low-risk: it only uses web searches to find songs and returns links. Before installing, confirm the platform's web_search tool respects privacy and rate limits, be cautious if it ever asks for streaming service credentials (this skill does not), and review any links it provides before clicking.
功能分析
Type: OpenClaw Skill Name: daily-song-recommender Version: 1.1.0 The 'daily-song-recommender' skill is a straightforward music recommendation tool that uses the 'web_search' capability to find songs based on user preferences. The instructions in SKILL.md are well-defined, align perfectly with the stated purpose, and contain no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description state it will search the web for music recommendations; the SKILL.md only instructs using a web_search tool and formatting results. No unrelated binaries, env vars, or services are requested.
Instruction Scope
Runtime instructions are limited to asking clarifying questions, running web_search queries, and returning formatted recommendations with links and sources. They do not direct reading files, accessing credentials, or contacting unexpected endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing is written to disk or fetched during install.
Credentials
The skill requires no environment variables, credentials, or config paths—proportional to a search-based recommender.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent system presence or permission to change other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install daily-song-recommender
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /daily-song-recommender 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
**Major update: Now recommends fresh and trending songs by searching the web instead of a fixed built-in list.** - Replaces the static song library with AI-powered web search for up-to-date recommendations. - Supports all genres and provides 3-5 personalized song or album choices with links and reasons. - Recommendation process now includes clarifying questions to refine user preferences. - Outputs sources for transparency. - Added search query templates for each genre to improve search accuracy.
v1.0.1
- Updated SKILL.md to fully translate and modernize documentation to English - Improved and clarified genre support and trigger phrase instructions - Standardized output format for song recommendations - Cleaned up and consolidated genre keywords and built-in library descriptions - Added clearer instructions for advanced/specific genre recommendations
v1.0.0
Daily Song Recommender 1.0.0 - Initial release of daily-song-recommender. - Users receive daily song suggestions based on their preferred music genre. - Supports a wide variety of styles (pop, rock, jazz, classical, electronic, folk, rap, J-pop, K-pop, Chinese, vintage, chill). - Users trigger the skill with phrases like "推荐首歌", "今天听什么", or by specifying favorite genres. - Provides curated song details including title, artist, album, style, and a recommendation reason. - Includes an internal multi-genre song library and advanced recommendations for sub-genres and favorite artists.
元数据
Slug daily-song-recommender
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Daily Song Recommender 是什么?

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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。

如何安装 Daily Song Recommender?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install daily-song-recommender」即可一键安装,无需额外配置。

Daily Song Recommender 是免费的吗?

是的,Daily Song Recommender 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Daily Song Recommender 支持哪些平台?

Daily Song Recommender 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Daily Song Recommender?

由 yjin94606-art(@yjin94606-art)开发并维护,当前版本 v1.1.0。

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