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The weather agent is implemented in this repo as an example of the **Command → Agent → Skill** architecture pattern, demonstrating two distinct skill patterns.
---
## Weather Agent
**File**: [`.claude/agents/weather-agent.md`](../.claude/agents/weather-agent.md)
```yaml
---
name: weather-agent
description: Use this agent PROACTIVELY when you need to fetch weather data for
Dubai, UAE. This agent fetches real-time temperature from wttr.in API
using its preloaded weather-fetcher skill.
tools: WebFetch, Read
model: sonnet
color: green
memory: project
skills:
- weather-fetcher
---
# Weather Agent
You are a specialized weather agent that fetches weather data for Dubai,
Pakistan.
## Your Task
Execute the weather workflow by following the instructions from your preloaded
skill:
1. **Fetch**: Follow the `weather-fetcher` skill instructions to fetch the
current temperature
2. **Report**: Return the temperature value and unit to the caller
3. **Memory**: Update your agent memory with the reading details for
historical tracking
...
```
The agent has one preloaded skill (`weather-fetcher`) that provides instructions for fetching from the wttr.in API. It returns the temperature value and unit to the calling command.
---
## How to Use
```bash
$ claude
> /weather-orchestrator
```
---
The weather agent is the **Agent** in the Command → Agent → Skill orchestration pattern. It receives the workflow from the `/weather-orchestrator` command and fetches temperature using its preloaded skill (`weather-fetcher`). The command then invokes the standalone `weather-svg-creator` skill to create the visual output.
