Value Tracker

What This Skill Does

The Value Tracker skill for OpenClaw is a powerful utility designed to quantify the tangible impact of your AI assistant. By logging tasks and their associated completion times, the skill automatically calculates the financial value generated based on custom hourly rates. It categorizes work into distinct buckets such as strategy, research, finance, tech, sales, marketing, and operations. This allows users to move beyond subjective feelings of productivity and rely on data-driven insights to prove ROI, justify AI investments, and optimize daily workflows. The tool provides real-time summaries of hours saved and monetary value produced, making it an essential companion for teams tracking efficiency gains.

Installation

To add the Value Tracker to your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/sergirostoll-coder/value-tracker Once installed, ensure you review the config.json file located in the skill directory. Here, you can adjust the currency and define specific hourly rates for different task categories to match your organization's internal billing or value structures.

Use Cases

1. Performance Reporting: Generate weekly or monthly markdown reports to showcase the total value generated by the AI to stakeholders.
2. Resource Allocation: Analyze where your AI spends the most time (e.g., ops vs. strategy) to determine if it is focusing on high-leverage tasks.
3. Billing & ROI Analysis: Use the JSON export feature to integrate with business intelligence dashboards, allowing for accurate financial forecasting of AI utility.

Example Prompts

1. "Log a tech task: 'Set up automated data pipeline for CRM integration' and count it as 3 hours."
2. "Use auto-detect to log that I just finished a market research study on competitor pricing strategies; it took me 2 hours."
3. "Show me a summary of the total value generated by the assistant this month and generate a markdown report for my manager."

Tips & Limitations

• Consistent Logging: The accuracy of your ROI data depends entirely on consistent usage. Try to log tasks immediately after completion.
• Refine Rates: Default rates are estimates; adjust config.json to reflect your specific operational costs for maximum accuracy.
• Auto-Detection: Use log auto to save time, but manually verify the category if the task is complex or overlaps multiple fields.
• Data Integrity: Because the tool stores data in a local data.json file, perform regular backups to ensure your historical productivity data remains safe.