"weather now", "current", "temperature"?
get_current_weather
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Weather Intelligence
Global weather data for AI agents — current conditions, forecasts, historical data, air quality, and marine conditions via Open-Meteo (free, no API key, worldwide).
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 weather operations — get current conditions, hourly/daily forecasts, historical data, air quality, and marine conditions for any location worldwide. Use when checking weather, getting forecasts, comparing historical weather, checking air quality, or planning around weather conditions.
Architecture
How Weather Intelligence 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
Weather Intelligence 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-weather
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.
"forecast", "next days", "this week"?
get_forecast
"hourly", "hour by hour", "today"?
get_hourly_forecast
"historical", "last year", "compare"?
get_historical_weather
"air quality", "pollution", "AQI"?
get_air_quality
"marine", "waves", "sea", "sailing"?
get_marine_conditions
"where is", "coordinates"?
geocode_location
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.
011-2 calls
Current Weather
Temperature, wind, conditions
021-2 calls
Forecast
Daily/hourly predictions
032 calls
Historical
Compare to past dates
041 calls
Air Quality
AQI, PM2.5, ozone
051 calls
Marine
Waves, sea conditions
Tool boundary
The skill may use 7 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-weather retains responsibility for authentication, validation, and the connected system.
get_current_weather
get_forecast
get_hourly_forecast
get_historical_weather
get_air_quality
get_marine_conditions
geocode_location
Working rules
What the agent should do.
- Geocode location first if only name is given
- Include units (°C, km/h, mm)
- Note forecast confidence decreases beyond 3 days
- For agriculture: include precipitation and growing degree days
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-weather, 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-weather-intelligence.git ~/.skills/skills/weather-intelligenceADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("weather-intelligence").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-weather server connected (Open-Meteo — free, no API key, global coverage).
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
- 7
- References
- 3
- Revision
- 24d61a1bf56d
- Updated
- May 31, 2026