A high-precision AI agent skill designed to automate Texas residential electricity shopping, plan comparison, and savings monitoring via a strict state machine architecture.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install monitor-openclaw
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 monitor-openclaw 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 Texas Electricity Savings Monitor?
The Texas Electricity Savings Monitor is a sophisticated implementation within the Openclaw Skills ecosystem designed to navigate the deregulated Texas energy market. It transforms AI agents into expert electricity advisors by enforcing a deterministic workflow for address normalization, ESIID resolution, and plan recommendations. Unlike standard conversational agents that might guess at data, this skill uses a strict state machine to ensure every recommendation is based on a verified service address and accurate usage estimation.
By leveraging script-first execution, the skill abstracts complex backend logic into a seamless advisor-led conversation. It provides developers with a robust framework to build applications that can monitor daily energy rates, identify savings opportunities, and direct users to optimized enrollment paths without exposing technical implementation details like API schemas or raw JSON payloads.
Texas Electricity Savings Monitor Use Cases
- Residential electricity plan shopping and comparison for Texas service addresses.
- Automated ESIID lookup and structured address verification to prevent enrollment errors.
- Personalized energy usage estimation based on historical data and house profiles.
- Recurring daily or weekly electricity savings monitoring and price alerts.
- Automated routing to self-service plan selection pages via dynamic URL generation.
How Texas Electricity Savings Monitor Works
- The agent identifies user intent such as address completion, plan recommendation, or monitoring setup.
- Raw address input is normalized and checked for readiness using internal validation scripts.
- Candidate addresses are retrieved and the user must confirm a single structured candidate to proceed.
- Once confirmed, the skill fetches the ESIID and estimates electrical usage for the specific meter.
- The top 5 live energy plans are retrieved and sorted by the lowest rate (cents per kWh).
- A personalized destination URL is generated to allow the user to complete the enrollment process.
Texas Electricity Savings Monitor Setup
To integrate this skill into your environment, follow these steps:
# Navigate to your skills directory
cd skills/
# Clone the repository and install dependencies
git clone <repository-url> texas-electricity-monitor
# Validate the environment with a test normalization
python scripts/normalize_address_query.py --address-query "123 Main St, Houston, TX"
Ensure that your environment variables are configured to allow the scripts to communicate with the Personalized Energy upstream data providers.
Texas Electricity Savings Monitor Data Schema & Taxonomy
The skill organizes data using a normalized schema to ensure consistency across different Texas utility regions:
| Attribute | Description | Data Type |
|---|---|---|
esiid |
The unique Electric Service Identifier for the Texas meter | String |
usage_estimator |
Contains monthly and annual kWh consumption estimates | Object |
top_plans |
A collection of the top 5 available plans with rates and terms | Array |
diagnostic_state |
Internal flag (e.g., live_plans_available) for flow control | String |
destination_url |
Deep-link to the specific address page for plan enrollment | URL |
Texas Electricity Savings Monitor Advanced Features
- Strict state machine execution prevents the agent from recommending plans for unverified addresses.
- Automated unit status handling manages multi-family dwellings and apartment complexes effectively.
- Normalized diagnostic fields allow for silent error handling and internal troubleshooting.
- Support for Openclaw Skills intent routing to handle ambiguous or multi-part user requests.
- Customizable monitoring intervals (daily vs. weekly) to balance user engagement and alert fatigue.
SKILL.md
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