A local-first analytics tool that tracks conversation patterns, sentiment, and productivity markers to provide actionable self-knowledge insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install personal-analytics
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 personal-analytics 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 Personal Analytics?
Personal Analytics is a sophisticated skill designed to transform interaction data into meaningful insights without compromising privacy. By leveraging local processing, it identifies peak productivity windows, evolving interests, and mood trends through automated session analysis. It is an essential addition for users of Openclaw Skills who want to quantify their work habits and learning journeys.
The skill operates on a privacy-first architecture, ensuring that raw conversation content is never stored. Instead, it generates aggregated statistics that help users optimize their schedules, monitor well-being, and discover emerging topics of interest. Whether you are a developer tracking a learning curve or a professional seeking to reduce burnout, this skill provides the data-driven clarity needed to work smarter.
Personal Analytics Use Cases
- Optimize work schedules by identifying peak productivity hours.
- Track learning journeys through topic frequency and depth analysis.
- Monitor well-being by detecting stress indicators and late-night work patterns.
- Generate content ideas based on frequently discussed technical subjects.
- Improve collaboration by understanding responsiveness and communication trends.
How Personal Analytics Works
- Tracking is initialized and enabled via local scripts to begin monitoring session lifecycles.
- Hook points capture session metadata, including duration, channel, and message count at the start and end of interactions.
- Local processing extracts lightweight topics and performs sentiment analysis on current sessions.
- Data is aggregated into a local JSON store, filtering out any sensitive patterns or raw text.
- Reports are generated (weekly/monthly) to visualize heatmaps, topic trends, and productivity scores.
- Proactive recommendations are offered to suggest new areas for research based on emerging interests.
Personal Analytics Setup
To get started with this skill within the Openclaw Skills ecosystem, follow these steps:
# Initialize configuration from the example
cp config.example.json config.json
# Enable the tracking service
python3 scripts/enable.py
# Run analysis on existing sessions
python3 scripts/analyze.py
# Generate your first weekly report
python3 scripts/report.py weekly
Personal Analytics Data Schema & Taxonomy
The skill maintains a strict local-only data structure to ensure privacy while providing deep insights.
| File | Description | Retention |
|---|---|---|
.analytics_data.json |
Stores aggregated statistics (sessions, topic stats, distributions). | User-defined (default 90 days) |
.topic_cache.json |
Temporary cache for topic extraction hashes to speed up processing. | Auto-deleted after 7 days |
config.json |
Configuration for privacy exclusions, markers, and report settings. | Persistent |
Personal Analytics Advanced Features
- Integration with proactive-research for automated topic monitoring.
- Custom productivity markers allowing users to define specific success keywords like fixed or deployed.
- Multi-channel tracking support via the session tracker script for different communication platforms.
- Granular privacy controls including regex-based exclusion patterns for sensitive data like API keys.
- Automated report delivery and customizable markdown export for comprehensive weekly reviews.
SKILL.md
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