daily-recommend

What This Skill Does

Daily-recommend is a sophisticated content curation skill for OpenClaw designed to cultivate your aesthetic and literary habits. Instead of overwhelming you with information, it acts as a minimalist, thoughtful curator that delivers a single, high-quality recommendation each time—ranging from classical Chinese poetry and classic literature excerpts to profound film lines. The skill operates on an intelligent schedule, respecting your flow state by avoiding late-night disturbances and automatically delaying pushes if you are actively engaged in other conversations.

At its core, this skill is powered by a continuous learning mechanism. By analyzing your engagement patterns—whether you show enthusiasm or indifference—the agent evolves its recommendation model, ensuring that the content you receive grows increasingly aligned with your unique taste and intellectual curiosities. It is built on the philosophy of "less is more," prioritizing genuine emotional resonance over cold, data-driven summaries.

Installation

To integrate this skill into your OpenClaw agent, execute the following command in your terminal: clawhub install openclaw/skills/skills/billxfan/daily-recommend

Use Cases

• Mindful Breaks: Receive a short, poetic pause during your busy workday to reset your focus.
• Aesthetic Cultivation: Systematically expose yourself to diverse forms of literature and film without the need for manual searching.
• Learning & Reflection: Use the provided emotional interpretation to gain deeper insights into classic works and philosophies.
• Personalized Discovery: Gradually train your agent to understand your specific literary preferences, such as a preference for melancholic poetry or existentialist novels.

Example Prompts

• "推荐一首诗给我，心情有点低落。"
• "最近有什么值得一看的好书推荐吗？"
• "给我推荐一条关于人生的经典电影台词。"

Tips & Limitations

• Tip: If you find a specific recommendation particularly moving, express your approval directly in the chat to help the agent refine your profile faster.
• Tip: The skill is designed to be low-friction. It does not demand a response, allowing you to enjoy the content in silence.
• Limitation: To maintain quality, the skill avoids sending messages during the late-night window of 22:00–08:00 to ensure your rest is prioritized.
• Limitation: The recommendation engine relies on your interactions to learn; if you provide no feedback for an extended period, the agent will default to generic, highly-rated classics.