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Agri Intelligence
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
9
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0
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Install in OpenClaw
/install agri-intelligence
Description
Smart agriculture analytics assistant - crop disease identification, planting optimization, yield prediction, and agricultural market intelligence. Supports...
README (SKILL.md)
Agri Intelligence - Smart Agriculture AI Skill
Core Capabilities
| Capability | Description |
|---|---|
| Crop Disease ID | Identify crop diseases from images or symptom descriptions with treatment recommendations |
| Planting Calendar | Generate optimized planting schedules based on region, climate zone, and crop type |
| Yield Prediction | Predict harvest yields using historical data, weather patterns, and soil conditions |
| Market Intelligence | Track agricultural commodity prices across major markets, supply-demand analysis |
| Soil Analysis | Interpret soil test results and recommend fertilization strategies |
| Pest Management | Integrated pest management plans tailored to specific crops and regions |
Trigger Scenarios
- "What disease is affecting my tomato plants?"
- "When should I plant wheat in Henan province?"
- "Predict my corn yield based on 50 acres with loam soil"
- "Current soybean prices in major Chinese markets"
- "Analyze this soil report and suggest fertilizers"
Execution Flow
Phase 1: Context Gathering
- Collect crop type, region, field size, soil data, and historical records
- Request images if disease/ pest identification is needed
Phase 2: Domain Analysis
- Cross-reference symptoms with agricultural pathology database
- Factor in regional climate data and seasonal patterns
- Apply crop-specific growth models for yield estimation
Phase 3: Recommendation Output
- Disease: diagnosis confidence score, treatment options (organic/chemical), prevention tips
- Planting: week-by-week calendar with action items
- Market: price trends table with buy/sell timing suggestions
- Yield: predicted range with confidence interval and key influencing factors
Output Template
## Agri Intelligence Report
**Crop**: [crop type]
**Region**: [region]
**Date**: [current date]
### Analysis Results
[Key findings]
### Recommendations
[Actionable steps with priority levels]
### Data Sources
- [Source 1]
- [Source 2]
Notes
- Soil and climate data accuracy depends on region coverage
- Disease identification works best with clear, well-lit images
- Market prices are delayed by 1-3 days depending on exchange
- Free to use; no code execution required
Usage Guidance
This skill appears safe to install as an advisory agriculture assistant. Treat its disease, pesticide, fertilizer, yield, and market recommendations as decision support, not a substitute for local agronomy guidance, official pesticide labels, or verified market data. Avoid sharing unnecessary sensitive farm or business records.
Capability Assessment
Purpose & Capability
The skill’s stated purpose is agricultural analytics, and its capabilities are coherent with that purpose: crop disease identification, planting calendars, yield estimates, market analysis, soil interpretation, and pest management.
Instruction Scope
Runtime instructions are scoped to gathering agricultural context, analyzing crop or market information, and returning a structured report; there are no prompt overrides, hidden commands, or unrelated agent instructions.
Install Mechanism
The package contains only a markdown SKILL.md file and OpenClaw version metadata; no executable scripts, package installs, hooks, or external installer behavior are present.
Credentials
The skill may lead an agent to consult current agricultural, weather, market, or pathology sources, which is expected for its purpose and disclosed by its reporting template, but it does not request credentials or broad local access.
Persistence & Privilege
No persistence, background workers, privilege escalation, local indexing, credential/session access, file mutation, or destructive actions are described.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agri-intelligence - After installation, invoke the skill by name or use
/agri-intelligence - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Agri Intelligence, a smart agriculture analytics assistant.
- Identifies crop diseases using images or descriptions and recommends treatments.
- Creates optimized planting calendars based on region, climate, and crop type.
- Predicts crop yields using historical, weather, and soil data.
- Tracks real-time market prices and analyzes supply-demand trends.
- Interprets soil test results and provides fertilization advice.
- Supports tailored pest management plans.
- Multi-region farming data analysis enabled.
- Utilizes a structured reporting template for consistent outputs.
Metadata
Frequently Asked Questions
What is Agri Intelligence?
Smart agriculture analytics assistant - crop disease identification, planting optimization, yield prediction, and agricultural market intelligence. Supports... It is an AI Agent Skill for Claude Code / OpenClaw, with 9 downloads so far.
How do I install Agri Intelligence?
Run "/install agri-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agri Intelligence free?
Yes, Agri Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agri Intelligence support?
Agri Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agri Intelligence?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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