auto-logger

What This Skill Does

The Auto-Logger skill serves as the central memory management engine for your OpenClaw agent. It functions as a persistent background process that monitors, categorizes, and summarizes interactions, events, and user preferences into an organized file structure. By leveraging intelligent extraction logic, it distinguishes between routine dialogue and critical data, ensuring that significant decisions, task completions, and user configurations are never lost. It automatically maintains daily logs for operational traceability and a cumulative 'MEMORY.md' file for long-term user profile development and preference tracking, turning a stateless agent into a persistent, helpful assistant.

Installation

To install this skill, use the OpenClaw CLI inside your workspace terminal: clawhub install openclaw/skills/skills/2426758093/auto-logger Ensure your workspace has write permissions to the /memory directory, as the skill will automatically generate Markdown files based on the current date and project context.

Use Cases

1. Personal Knowledge Management: Automatically archives your workflows, code configurations, and environmental variables so you don't have to document them manually.
2. Decision Tracking: When you discuss a project roadmap, the skill logs key conclusions, acting as a personal project manager.
3. Task Auditing: Keeps a chronological trail of every task completed during the session, facilitating daily or weekly performance reviews.
4. Context Maintenance: Remembers your preferred communication style and specific details (like email addresses or project preferences) to avoid repetitive onboarding in future sessions.

Example Prompts

• "记住这个：我以后所有的代码项目默认使用 Python 3.12 版本，并且要把单元测试放在 /tests 目录下。"
• "记录一下，我们刚才讨论的关于自动邮件系统的方案已经定下来了，下周一我会开始实施。"
• "今天做了什么？帮我总结一下我现在的任务进度和已经完成的工作。"

Tips & Limitations

• Privacy First: Always be mindful of sensitive data. While the skill is designed to capture information, it is your responsibility to ensure that highly sensitive credentials or private keys are handled via encrypted environment variables rather than plain-text logs.
• Regular Maintenance: Use the daily-review cron job to ensure that your MEMORY.md remains relevant. Over time, daily logs can become cluttered; summarizing them into long-term memory improves the agent's contextual recall efficiency.
• Conciseness: The tool is most effective when you communicate clearly. While it can handle raw conversation, providing structured feedback helps the agent better categorize information under the correct tags.
• Manual Triggering: Don't rely solely on automated triggers for critical info; manually saying "记住这个" provides the highest accuracy for priority information.