Rome for Openclaw

A comprehensive AI agent skill providing expert-level guidance for visitors, digital nomads, and entrepreneurs navigating the complexities of Rome, Italy.

ivangdavila
v1.0.0
Feb 21, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install rome

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install rome 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 Rome?

The Rome skill is a specialized knowledge module designed for AI agents to provide nuanced, real-time advice about living, working, and traveling in the Eternal City. It bridges the gap between basic tourism and deep local expertise, covering everything from the 2024 Digital Nomad Visa requirements to the intricate social norms of Roman neighborhoods. By integrating this module into your workflow via Openclaw Skills, you gain an assistant capable of navigating Italian bureaucracy, cost-of-living analysis, and cultural etiquette.

Built with a modular file structure, the skill allows agents to pull specific data points on demand—whether it is the cost of a senior developer's salary in 2026 or the specific dress codes for historic basilicas. It is an essential tool for anyone planning a short-term visit or a long-term relocation to Italy's capital.

Rome Use Cases

  • Planning comprehensive 1, 3, or 7-day tourist itineraries with local 'must-see' vs 'skip' recommendations.
  • Researching legal visa pathways, including the Elective Residence and the 2024 Digital Nomad Visa.
  • Comparing Roman neighborhoods (like Trastevere vs. Prati) for residential or business suitability.
  • Calculating real-time cost of living for budgeting rent, transport, and dining.
  • Navigating the Italian tech and startup scene for remote work or business formation.

How Rome Works

  1. The agent first identifies the user's context (e.g., student, entrepreneur, or tourist) and their specific timeline.
  2. It accesses the local memory stored in ~/.rome/memory.md to maintain user preferences and historical context.
  3. Based on the query, the skill dynamically loads the relevant markdown reference file (e.g., visas.md for legal queries or transport.md for logistics).
  4. The agent synthesizes current 2026 data points with cultural context to provide a technical yet practical response.
  5. It applies Core Rules to ensure the user understands the 'Eternal City Reality,' such as bureaucratic delays or seasonal shutdowns.

Rome Setup

To integrate the Rome skill into your environment, follow these steps:

  1. Install the skill using the CLI:
clawhub install rome
  1. Initialize the local memory directory:
mkdir -p ~/.rome
touch ~/.rome/memory.md
  1. Synchronize with the latest data updates:
clawhub sync
  1. Reference setup.md within the skill directory for specific AI agent configuration guidelines.

Rome Data Schema & Taxonomy

The Rome skill utilizes a decentralized Markdown-based schema for rapid retrieval and easy updates. Data is categorized as follows:

Category Data Files Content Focus
User Context memory.md Persistent user preferences and relocation status.
Logistics transport.md, cost.md, local.md Transit maps, live pricing indices (2026), and essential services.
Geographic neighborhoods-*.md Comparative analysis of historic, trendy, and residential districts.
Professional visas.md, tech.md, business.md Legal requirements, salary benchmarks, and startup ecosystems.
Lifestyle food-*.md, culture.md, healthcare.md Culinary guides, social etiquette, and SSN healthcare registration steps.

Rome Advanced Features

  • Neighborhood Matching Engine: Tailors location recommendations based on user profile (e.g., families vs. digital nomads).
  • 2026 Economic Index: Provides updated net salary expectations and rent ranges for accurate financial planning.
  • Bureaucracy Navigation: Step-by-step logic for obtaining a Codice Fiscale or registering with the local Comune.
  • Trap & Scam Detection: Automated warnings regarding tourist menus, taxi scams, and ZTL (Limited Traffic Zone) driving fines.
  • Contextual Integration: Compatible with other Openclaw Skills like 'travel' or 'work' for cross-domain intelligence.

SKILL.md


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