A location-aware skill designed to help AI agents identify and provide details for pharmacies and drugstores near a user's current coordinates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pharmacies
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pharmacies 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 Nearby Pharmacies Skill?
The Nearby Pharmacies skill is a specialized tool within the Openclaw Skills ecosystem that enables AI agents to perform geospatial queries for medical retail locations. It bridges the gap between a user's immediate healthcare needs and real-time location data by providing a structured way to search for drugstores based on proximity, operating hours, and specific service filters.
By leveraging this skill, developers can ensure their agents return consistent, high-quality Point of Interest (POI) data. The skill focuses on reliability and privacy, implementing grid-based blurring where necessary and adhering to strict authorization protocols before accessing sensitive user location data.
Nearby Pharmacies Skill Use Cases
- Finding the nearest open pharmacy during late-night emergencies.
- Filtering for drugstores that offer specific services like 24-hour operation or prescription fulfillment.
- Integrating local health resource discovery into travel or personal assistant AI agents using Openclaw Skills.
- Standardizing location-based responses across different frontend interfaces and API consumers.
How Nearby Pharmacies Skill Works
- The AI agent detects a location-based intent, such as a user asking for pharmacies near me.
- The skill requests the user's current latitude and longitude coordinates.
- A query is constructed using parameters like radius_meters and specific filters (e.g., open24h).
- The skill interfaces with a geospatial data provider to fetch relevant pharmacy locations.
- The data is parsed into a standardized response format containing POI details.
- The resulting list is returned to the agent for display to the end-user.
Nearby Pharmacies Skill Setup
To integrate this capability into your project using Openclaw Skills, configure your agent to call the pharmacies function with the required parameters:
# Example of how an agent might invoke the skill internally
curl -X POST https://api.openclaw.io/v1/skills/pharmacies \
-H "Content-Type: application/json" \
-d '{
"location": { "lat": 30.123, "lng": 120.456 },
"radius_meters": 3000,
"limit": 20
}'
Nearby Pharmacies Skill Data Schema & Taxonomy
The skill returns data following the STANDARD_RESPONSE metadata taxonomy to ensure compatibility across the Openclaw Skills framework.
| Field | Type | Description |
|---|---|---|
location |
Object | Mandatory { lat, lng } coordinates |
radius_meters |
Integer | Search radius (Default: 3000m) |
limit |
Integer | Result count limit (Max: 50) |
filters |
Object | Criteria such as open24h or prescription_available |
category |
String | Fixed value "pharmacies" |
Nearby Pharmacies Skill Advanced Features
- Multi-parameter filtering for 24/7 availability and prescription services.
- Privacy-centric location handling via grid-based coordinate blurring.
- Standardized error handling for invalid locations, provider downtime, or rate limiting.
- Seamless integration with existing Openclaw Skills POI response formats for UI consistency.
SKILL.md
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