A personal data synthesis engine that transforms fragmented records into structured life narratives and actionable insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install life-logging-analyzer
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 life-logging-analyzer 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 Life Logging Analyzer?
Life Logging Analyzer is a sophisticated tool designed to bridge the gap between raw personal data and meaningful self-understanding. By integrating with various Openclaw Skills, it gathers scattered footprints from calendars, notes, photo metadata, health applications, and screen time to construct a structured, analyzable timeline. The skill focuses on building a personal narrative by identifying the rhythms and shifts in your lifestyle that are often invisible to the naked eye.
This tool serves as a local-first, privacy-focused engine for the Quantified Self movement. It doesn't just collect numbers; it synthesizes them into five key dimensions—Time, Physical, Digital, Content, and Emotional—to provide a holistic view of your existence. Whether you are looking to recover lost hours or understand the evolution of your interests over a decade, this skill provides the framework to turn your digital exhaust into a valuable personal database.
Life Logging Analyzer Use Cases
- Reviewing life patterns over weekly, monthly, or annual cycles to identify trends.
- Discovering time allocation black holes where productivity or rest is lost.
- Establishing a structured personal life database for long-term historical record-keeping.
- Generating automated annual life reports that summarize major achievements and changes.
- Comparing different life states and behavioral patterns across varying time periods.
How Life Logging Analyzer Works
- Identify and connect available data sources including digital logs, physical health metrics, and creative outputs.
- Normalize disparate data points into a unified time-series format for consistent cross-referencing.
- Perform a five-dimensional correlation analysis to find links between environment, behavior, and mood.
- Execute a three-stage pattern extraction process to identify micro-habits, weekly rhythms, and macro-trends.
- Generate comprehensive reports and propose actionable optimization suggestions based on the data findings.
Life Logging Analyzer Setup
To get started with this skill within your environment, follow these steps:
# Install the Life Logging Analyzer via the skill manager
openclaw skill add life-logging-analyzer
# Link your local data directories for processing
life-log-analyzer link --path ~/path/to/your/logs
# Run an initial scan to build your local index
life-log-analyzer index --all
Life Logging Analyzer Data Schema & Taxonomy
The skill organizes data into a multi-dimensional taxonomy to ensure high-fidelity insights. Below is the schema used for organizing personal records:
| Dimension | Description | Typical Data Points |
|---|---|---|
| Time | Temporal allocation | Calendar events, screen time, app usage |
| Physical | Bodily activity | Steps, sleep cycles, GPS location, exercise |
| Digital | Virtual presence | Message frequency, social activity, code commits |
| Content | Intellectual output | Note keywords, photo tags, reading lists |
| Emotional | Internal state | Mood logs, energy levels, stress indicators |
Life Logging Analyzer Advanced Features
- Local-first processing architecture to ensure all sensitive personal data never leaves your machine.
- Causal hypothesis engine that suggests potential reasons for pattern shifts for user verification.
- Multi-agent compatibility within the Openclaw Skills ecosystem for automated data gathering from various APIs.
- Three-stage extraction logic covering Micro (daily focus), Meso (weekly balance), and Macro (yearly evolution) views.
- Narrative generation engine that converts statistical summaries into readable personal stories.
SKILL.md
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