personal-analytics

What This Skill Does

The Personal Analytics skill serves as an introspection engine for your OpenClaw interactions. By monitoring session metadata rather than raw conversation content, it builds a statistical map of your digital life. It tracks session duration, topic frequency, productivity milestones, and emotional sentiment to provide an objective view of how you work and when you are most effective. Because it operates entirely locally, your data remains yours, ensuring that your work habits and research patterns are never exposed to external servers or third-party analytical platforms.

Installation

To install this skill, run the following command in your terminal:

clawhub install openclaw/skills/skills/robbyczgw-cla/personal-analytics

After installation, you must initialize the configuration file by copying the template, enabling the tracker via the setup script, and configuring your productivity markers in the config.json file to match your personal workflow. Ensure the script permissions allow for local file reading and writing within your configured directory.

Use Cases

1. Workflow Optimization: Identify the specific times of day where you have the highest density of completed tasks and shift your most challenging work to those slots.
2. Topic Trend Analysis: Spot emerging interests by tracking how often specific research subjects appear in your sessions, allowing for better proactive information gathering.
3. Well-being Monitoring: Use sentiment tracking to observe stress patterns, helping you recognize periods of burnout before they impact your productivity.
4. Retrospective Planning: Generate weekly and monthly summaries to evaluate goal progress, ensuring your current trajectory aligns with your long-term objectives.

Example Prompts

1. "Analyze my last two weeks; when was I most productive and what topics took up the most time?"
2. "Show me a report on my sentiment trends to see if I've been feeling more stressed during late-night coding sessions."
3. "Based on my recent history, what topics should I prioritize for my upcoming research project?"

Tips & Limitations

To get the best results, customize the productivity_markers and stress_indicators in your config.json file. The more accurately these match your vocabulary, the higher the quality of the insights. Note that this skill does not record what you actually say; it only logs metadata. Therefore, it cannot provide context-specific answers about specific conversations, only high-level patterns. Always run the analyze.py script regularly to keep your reports up to date.