A sophisticated curation agent that delivers personalized daily recommendations of poetry, classic quotes, books, and films at optimal intervals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install daily-recommend
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install daily-recommend using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Daily Recommend?
Daily Recommend is a high-frequency cultural touchpoint designed to foster aesthetic and reading habits through carefully timed deliveries of quality content. Unlike bulk aggregators, this skill focuses on the philosophy of quality over quantity, delivering exactly one meaningful recommendation during three random daily windows. It serves as a personal librarian and art critic, leveraging Openclaw Skills to integrate seamlessly into a user's digital workspace.
The skill is built on a feedback-driven engine that learns user preferences over time. By analyzing reactions to different styles—ranging from Tang poetry to modern cinema—it builds a personalized recommendation profile. This ensures that every piece of content, whether a profound literary quote or a visually stunning documentary, resonates deeply with the user's current emotional and intellectual state.
Daily Recommend Use Cases
- Cultivating a daily habit of reading poetry or classic literature without manual searching.
- Receiving emotional and intellectual inspiration during work breaks or evening reflection.
- Building a personalized library of high-quality film and book recommendations.
- Spontaneous discovery of cultural gems through natural language triggers like "recommend a poem."
How Daily Recommend Works
- The skill monitors three specific daily time windows (morning, afternoon, and evening) via a Cron configuration.
- Before triggering, it performs a check for recent user activity; if the user has been active within 5 minutes, it delays the push by 30 minutes to avoid interruption.
- It selects a single high-quality item from diversified sources including poetry databases, film archives, and literary catalogs.
- The recommendation is formatted using rich Markdown, including the original text, a deeply felt justification for why it matters, and relevant tags.
- User feedback (likes, ignores, or dislikes) is recorded in a local preference file to refine the recommendation algorithm for future cycles.
Daily Recommend Setup
To deploy this skill within your environment, ensure you have the Openclaw Skills framework configured and add the following to your agent's skill manifest:
# Install the daily-recommend skill into your workspace
openclaw install daily-recommend
# Configure the Cron schedule for the three random windows
openclaw config set daily-recommend.cron "0 9,15,20 * * *"
Daily Recommend Data Schema & Taxonomy
The skill maintains a persistent preference profile and a log of pushed content to ensure variety and personalization.
| File Path | Description | Format |
|---|---|---|
[WORKSPACE]/memory/recommend-preferences.md |
Stores weighted preferences for genres, authors, and emotional tags. | Markdown |
[WORKSPACE]/logs/push-history.json |
A history of previously recommended items to prevent duplicates. | JSON |
Daily Recommend Advanced Features
- Smart Activity Delay: Automatically postpones notifications if the user is currently engaged in an active conversation.
- Feedback-Driven Weighting: Dynamically increases the probability of recommending favorite authors or genres based on positive user engagement.
- Multi-Source Integration: Aggregates data from diverse platforms like Douban, WeChat Reading, and classic literary databases.
- Emotional Context Parsing: Focuses on the 'emotional shape' of a recommendation rather than just technical metadata.
SKILL.md
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