Energy Tracker for Openclaw

A proactive AI-driven utility for tracking daily energy levels and identifying long-term psychological patterns.

martinashes
v1.1.0
Apr 15, 2026
0
731
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install energy-tracker

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install energy-tracker 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 Energy Tracker?

The Energy Tracker is a sophisticated tool designed for AI agents to proactively monitor and analyze a user's daily mental energy. By integrating with Openclaw Skills, this tool moves beyond reactive interaction to actively check in on the user's capacity to handle daily tasks. It categorizes responses into psychological balance, compensation, or burnout states, providing immediate personalized feedback and long-term trend analysis through visual reporting.

This skill enables an agent to act as a supportive wellness companion, helping users understand their mental capacity over time. It leverages historical data to provide insights that go beyond single-day snapshots, making it an essential component for any developer looking to build empathetic and helpful Openclaw Skills for their AI agents.

Energy Tracker Use Cases

  • Monitoring daily mental capacity to manage workload and tasks effectively.
  • Identifying long-term psychological burnout patterns over a 7-day or 30-day window.
  • Receiving automated, proactive check-ins from an AI agent to maintain mental well-being.
  • Triggering emergency intervention alerts and locating support resources during sustained periods of low energy.

How Energy Tracker Works

  1. The AI agent proactively prompts the user once a day with a specific energy inquiry (Options A, B, or C).
  2. The user's response is captured along with the current timestamp in a YYYY-MM-DD format.
  3. The system provides immediate interpretation and personalized advice based on the selected energy state.
  4. All data is persisted to a local JSON file to build a historical record.
  5. A Python script is triggered to generate a visual trend chart (PNG) reflecting the user's energy levels.
  6. For datasets exceeding 7 days, a trend analysis script evaluates patterns and can trigger emergency intervention protocols if critical thresholds are met.

Energy Tracker Setup

To integrate this skill into your environment, ensure you have the necessary dependencies installed:

# Install the required plotting library
pip install matplotlib

# The skill will automatically manage the following data file
touch ./energy_data.json

Ensure that the script paths for trend analysis and chart generation are correctly configured within your agent's workspace directory.

Energy Tracker Data Schema & Taxonomy

The Energy Tracker organizes information using a structured JSON format and generates visual assets for better user comprehension:

Component Format Description
energy_data.json JSON Stores date, choice (A/B/C), and status records.
energy_chart.png Image A matplotlib-generated chart visualizing energy trends.
analysis_report Script Output A summary identifying psychological patterns and intervention needs.

Standard energy states recorded:

  • A: Psychological Balance Period
  • B: Psychological Compensation Period
  • C: Psychological Burnout Period

Energy Tracker Advanced Features

  • Automated Emergency Intervention: Automatically pushes psychological assistance hotline information if 3 consecutive days of burnout are detected.
  • Personalized Reward Logic: Generates specific self-care suggestions based on the user's unique history and memory.
  • Visual Analytics: Integration with matplotlib allows the agent to provide high-quality PNG trend charts directly in the chat interface.
  • Multi-Day Pattern Recognition: Advanced analysis scripts identify environmental pressure overload and provide tailored action suggestions for data sets of 7 days or more, showcasing the deep analytical capabilities of Openclaw Skills.

SKILL.md


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