A specialized productivity skill that enhances workplace check-ins with AI-generated personalized greetings and habit tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawwork-learning-checkin
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 clawwork-learning-checkin 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 Clawwork Learning Check-in?
Clawwork Learning Check-in is a sophisticated wrapper for the base learning-checkin skill, designed to make daily workplace routines more engaging. By leveraging AI, it generates unique, non-repetitive welcome messages and daily greetings tailored to the user's nickname and language preference. As part of the growing ecosystem of Openclaw Skills, it focuses on building consistent habits through streak tracking and celebratory milestone messages.
The skill ensures a fresh experience by maintaining a 5-day history of generated content, preventing the robotic repetition often found in standard automation tools. It serves as a bridge between rigid task logging and conversational AI interaction, making it an essential addition for developers using Openclaw Skills to manage their daily workflows and maintain long-term learning momentum.
Clawwork Learning Check-in Use Cases
- Daily workplace check-ins to track consistency and focus during deep work sessions.
- Generating personalized morning motivation through AI-driven greetings that change daily.
- Tracking learning streaks and career development milestones with celebratory feedback.
- Maintaining multi-language support for international developers or those practicing new languages.
How Clawwork Learning Check-in Works
- The skill initiates by verifying the presence of the core learning-checkin dependency.
- It retrieves the user's profile, including their preferred nickname and language settings from local storage.
- Upon a check-in trigger, the skill generates dynamic prompts for the AI agent to create fresh, context-aware greetings.
- It cross-references a 5-day history log to ensure the AI does not repeat previous messages or questions.
- The skill logs the successful check-in, updates the streak counter, and stores the newly generated messages in the local metadata history.
Clawwork Learning Check-in Setup
First, ensure you have an environment capable of running Openclaw Skills. Install the base dependency and verify the installation using the following command:
python <skill_path>/clawwork_checkin.py check-installed
If the dependency is missing, follow the automated prompt to install learning-checkin. Finally, initialize your user profile to personalize the AI interactions:
python <skill_path>/clawwork_checkin.py set-nickname YourName
python <skill_path>/clawwork_checkin.py set-language English
Clawwork Learning Check-in Data Schema & Taxonomy
The skill maintains a local data directory to store state and history without requiring external databases:
| File | Purpose | Data Type |
|---|---|---|
| profile.json | Stores user identity, including nickname and language preference. | JSON |
| greetings.json | Tracks the last 5 days of AI-generated messages to prevent repetition. | JSON |
| version.txt | Records the current skill version for non-blocking update checks. | Text |
Clawwork Learning Check-in Advanced Features
- Intelligent repetition avoidance through a sliding 5-day history window for all AI-generated content.
- Milestone celebration logic that triggers unique success prompts for streaks of 1, 7, 30, and 100 days.
- Non-blocking version checking to stay up to date with the latest Openclaw Skills features without interrupting the workflow.
- Local-first data storage ensuring privacy and fast access to user profiles and history logs.
SKILL.md
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