An automated logging utility that tracks AI agent activities, task statuses, and to-do lists in persistent daily memory files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-log
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 auto-log 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 Auto Log Skill?
The Auto Log Skill is a foundational utility designed to provide AI agents with a persistent memory layer by automatically documenting their activities. It ensures that every action, from task execution to event triggering, is captured within structured daily log files. This skill is essential for developers using Openclaw Skills who need to maintain an audit trail of agent behavior or create a searchable history of past operations.
By leveraging this skill, agents can maintain context across sessions by referencing previously recorded logs. It bridges the gap between ephemeral agent execution and long-term project management, allowing for seamless tracking of project progress and task completion.
Auto Log Skill Use Cases
- Monitoring AI agent task execution status during long-running workflows.
- Maintaining a daily history of events for debugging and audit purposes.
- Managing dynamic to-do lists that agents can update and reference throughout the day.
- Generating daily summaries of AI activities for human review or team reporting.
How Auto Log Skill Works
- The skill initializes by checking the designated memory directory for the current date's log file.
- If no file exists, it automatically generates a new daily log template.
- The agent calls specific functions like log_event or log_task to append structured data to the active log.
- Tasks are recorded with specific statuses to maintain a clear execution history.
- To-do items are appended to a dedicated section for easy retrieval and management.
- Users or agents can call the summary function to extract a condensed view of the day's progress.
Auto Log Skill Setup
To get started with this component of Openclaw Skills, run the following installation command:
clawhub install auto-log
Next, configure the memory storage location by copying the template and editing the JSON file:
cp config.example.json config.json
Ensure that the memory_dir field points to the directory where you want your daily logs stored.
Auto Log Skill Data Schema & Taxonomy
The skill organizes data into daily Markdown files within the specified directory. Each file follows a consistent structure:
| Section | Content Type | Purpose |
|---|---|---|
| Events | Unordered List | High-level triggers and system events |
| Tasks | Formatted Entries | Execution status and outcomes of agent actions |
| Todos | Checkbox List | Pending actions and future requirements |
| Summary | Paragraph | Condensed overview of daily activity |
Logs are named using the YYYY-MM-DD.md format for easy chronological sorting.
Auto Log Skill Advanced Features
- Automated daily template generation ensures a consistent structure without manual intervention.
- Integration with file-system tools allows for high-performance reading and writing of log data.
- Support for custom task status indicators to reflect complex workflow states.
- Retrieval-ready formatting makes the logs easily indexable for RAG-based memory systems.
SKILL.md
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