book-detailing

What This Skill Does

The book-detailing skill acts as an integration interface between the OpenClaw agent and the Lokuli MCP server. It enables the agent to discover, query availability for, and reserve professional vehicle detailing services. By leveraging the MCP (Model Context Protocol) architecture, the skill communicates via SSE and JSON-RPC to provide a seamless booking workflow without requiring the user to navigate external websites. The core functionality includes searching for local service providers, verifying specific time slots, and executing secure booking requests.

Installation

To install this skill, use the ClawHub command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/edwardrodriguez703-design/book-detailing

Once installed, ensure your environment has connectivity to the Lokuli MCP endpoint at https://lokuli.com/mcp/sse, as the skill requires active network access to perform its duties.

Use Cases

This skill is specifically designed for users who want to automate vehicle maintenance tasks. It is ideal for busy professionals who need to find mobile detailing services based on their zip code, compare availability across different providers, and schedule appointments instantly. It is particularly useful for recurring maintenance, where the agent can store user details to expedite future booking requests.

Example Prompts

1. "Find a car detailing service near 90640 and show me what's available for this coming Monday."
2. "Book a professional detailing appointment for me at the best rated shop for next Friday at 2 PM. My name is John Doe, email is [email protected], and phone is +13105551234."
3. "Is there any detailing service available in 90640 tomorrow? If so, tell me the provider details and check if they have a 2 PM slot open."

Tips & Limitations

• The skill relies on valid input for customer information. Ensure that your phone numbers are provided in E.164 format and that email addresses are verified before confirming a booking.
• Availability checks are time-sensitive; a slot shown as open during a search may be snatched by another customer if there is a delay in finalizing the booking.
• If the search returns too many results, consider narrowing down the maxResults parameter to streamline the decision-making process.
• The integration currently assumes the user is in a specific region defined by the zip code; ensure your agent context has the correct location data to avoid irrelevant results.