TM Soil Moisture Skill (AgriBrain) for Openclaw

A professional smart agriculture assistant for yellowhorn farming that analyzes multi-depth soil sensor data to provide real-time irrigation decisions.

lu87985
v1.0.0
Apr 9, 2026
0
799
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install tm-soil-moisture

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 tm-soil-moisture 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 TM Soil Moisture Skill (AgriBrain)?

AgriBrain is a specialized technical tool within the ecosystem of Openclaw Skills designed for the precise management of Shiny-leaved yellowhorn plantations. It interfaces directly with local SQLite databases to process high-resolution data from multi-depth soil sensors, ranging from 10cm to 100cm underground. By translating raw telemetry into actionable insights, this skill empowers farm managers to monitor soil health, diagnose drought conditions, and implement scientific irrigation schedules with professional accuracy.

TM Soil Moisture Skill (AgriBrain) Use Cases

  • Real-time monitoring of temperature and humidity profiles across 10 different soil layers.
  • Automated drought alerts and irrigation recommendations based on root-zone moisture levels.
  • Hardware health tracking including battery voltage monitoring and signal strength diagnostics.
  • Farm-wide data aggregation to compare moisture levels across different geographical plots.

How TM Soil Moisture Skill (AgriBrain) Works

  1. The skill establishes a connection to a local SQLite database where sensor payloads are stored.
  2. It retrieves JSON-formatted telemetry including multi-depth Soil_Temp and Soil_Humi metrics.
  3. The agent identifies specific devices via their unique CCID or serial numbers for targeted analysis.
  4. It evaluates the 20cm-40cm active root zone to calculate water requirements using pre-defined agronomic thresholds.
  5. The skill generates a professional report including data visualizations in Markdown and proactive maintenance warnings.

TM Soil Moisture Skill (AgriBrain) Setup

To deploy this skill within your Openclaw Skills environment, ensure your local database is properly indexed. Use the following commands to get started:

openclaw install tm-soil-moisture
# Configure your SQLite database path
openclaw config set SOIL_DB_PATH "/path/to/your/agri_data.db"

TM Soil Moisture Skill (AgriBrain) Data Schema & Taxonomy

The skill organizes data based on the following taxonomy to ensure high-fidelity reporting:

Attribute Key Unit Description
Soil Temperature Soil_Temp[10-100] ℃ 10 layers of depth data (10cm intervals)
Soil Moisture Soil_Humi[10-100] % Volumetric water content percentage
Device ID gprs_ccid SN Unique CCID for sensor identification
Power Level power V Battery voltage (Alerts triggered below 3.5V)
Location geo Lat/Lon GPS coordinates for spatial mapping

TM Soil Moisture Skill (AgriBrain) Advanced Features

  • Root Zone Intelligence: Specifically monitors the 20cm-40cm layer critical for yellowhorn growth.
  • Multi-Agent Support: Can be integrated with weather forecasting agents to delay irrigation if rain is expected.
  • Automated Health Hooks: Triggers warnings for solar panel efficiency and low signal strength (RSSI).
  • Macro-level Aggregation: Calculates farm-wide averages across multiple sensors to determine general soil trends.

SKILL.md


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