A specialized Openclaw Skills module providing deep insights into Lima's historical landmarks, culinary excellence, and essential travel logistics.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lima
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install lima using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills documentation provides a technical and cultural deep dive into Lima, the capital of Peru. Founded in 1535, Lima is a unique blend of colonial heritage, pre-Columbian ruins like Huaca Pucllana, and modern metropolitan energy.
The skill is designed to help AI agents understand the complex layers of the city, from its status as a global culinary powerhouse to its specific geographic and logistical constraints. By integrating this knowledge, developers can build more context-aware travel assistants and research tools.
To integrate this guide into your local environment, follow these steps:
# Clone the repository containing the Openclaw Skills
git clone https://github.com/your-repo/openclaw-skills.git
# Import the Lima SKILL.md into your agent's knowledge base
cp openclaw-skills/travel/lima/SKILL.md ./ai-agent/knowledge/
The skill organizes data into four primary technical domains to ensure high retrieval accuracy:
| Domain | Data Points Included |
|---|---|
| Historical | Plaza Mayor, Lima Cathedral, San Francisco Convent, founding dates. |
| Gastronomic | Central (World Rank #3), Maido (Nikkei), La Mar, local market data. |
| Cultural | Barranco art district, Miraflores Malecon, Larco Museum collections. |
| Logistical | Population (10M), Climate (19C avg), Airport (LIM), Currency (PEN). |
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