"field", "farm", "plot", "acres"?
WORKFLOW 1: Field Management
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Business operationsPublic skills
Agriculture Management
Farm operations for AI agents — field management, crop planning, weather intelligence, satellite monitoring (NDVI), commodity markets, IoT sensors, yield estimation, and pest/disease detection.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate farm operations — manage fields and crops, monitor weather, analyze satellite imagery (NDVI), track commodity markets, read IoT sensors, estimate yields, and detect pest/disease risks. Use when managing farm fields, planning planting, checking weather forecasts, monitoring crop health, tracking commodity…
Architecture
How Agriculture Management guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Agriculture Management skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-agriculture
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"plant", "crop", "season", "calendar"?
WORKFLOW 2: Crop Planning
"weather", "rain", "forecast", "frost"?
WORKFLOW 3: Weather Intelligence
"NDVI", "health", "satellite", "green"?
WORKFLOW 4: Crop Health (Satellite)
"price", "market", "sell", "commodity"?
WORKFLOW 5: Market Intelligence
"sensor", "soil", "moisture", "IoT"?
WORKFLOW 6: IoT Monitoring
"yield", "harvest", "estimate"?
WORKFLOW 7: Yield Estimation
"pest", "disease", "threat"?
WORKFLOW 8: Threat Detection
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011-3 calls
Field Management
Track fields, crops, activities
023-4 calls
Crop Planning
Optimal planting with weather window
032-4 calls
Weather Intelligence
Forecasts, alerts, historical comparison
042-3 calls
Satellite Health
NDVI, stress detection, anomalies
052-4 calls
Market Intelligence
Prices, trends, optimal sell timing
062-3 calls
IoT Monitoring
Soil moisture, rainfall, sensors
Tool boundary
The skill may use 34 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-agriculture retains responsibility for authentication, validation, and the connected system.
list_fields
get_field
create_field
update_field
list_crops
get_crop
plant_crop
get_crop_calendar
log_harvest
log_activity
list_activities
get_activity_summary
get_forecast
get_historical_weather
get_weather_alerts
get_growing_degree_days
get_field_ndvi
get_crop_health
detect_anomalies
get_field_boundary
get_commodity_price
get_price_history
get_market_trends
list_commodities
get_best_sell_time
list_sensors
get_sensor_reading
get_soil_moisture
get_rainfall
estimate_yield
get_harvest_history
compare_seasons
get_pest_alerts
get_disease_risk
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-agriculture, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-agriculture-management.git \
~/.skills/skills/agriculture-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("agriculture-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-agriculture server connected (Open-Meteo, Sentinel-2, commodity APIs, IoT backends).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 34
- References
- 3
- Revision
- 460e681989a9
- Updated
- May 31, 2026