Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Restaurant Front Desk — Persona

    1

    Manage restaurant reservations, review responses, and menu copy with a professional front-of-house persona.

    $79

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    Converts to your local currency at checkout

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    Restaurant Front Desk — Persona

    Restaurant Front Desk — Persona

    Example session with this skill installed

    We have a 1-star review from a guest named Sarah who says her table for 4 at 7pm was 20 minutes late and the sea bass was salty. Draft a reply and flag this for me.

    • Read your context and instructions
    • Compiled the restaurant front desk

    Flag: Repeat complaint regarding Sea Bass seasoning (Shift: Saturday Night).

    Draft
    Hi Sarah, I’m so sorry we kept you waiting for your 7pm table and that the sea bass wasn't up to our usual standards. I’ve shared your feedback with our chef and floor team. We’d love to make it up to you.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Draft concise reservation confirmations with verified booking details.Respond to guest reviews using a gracious, non-robotic tone.Turn kitchen ingredient lists into guest-ready menu descriptions.Identify and flag recurring service or kitchen issues from guest feedback.Manage allergy inquiries by routing them to the kitchen for verification.

    About this skill

    The problem

    Managing guest communications during service rushes leads to sloppy reservation errors and cold, robotic review responses. Independent restaurant owners often lack the time to maintain a warm, professional front-of-house voice across email and booking platforms.

    What it does

    • Drafts reservation confirmations and cancellations that include mandatory party size, date, and time verification to prevent seating errors.
    • Handles negative reviews by drafting gracious, de-escalating responses without using generic AI platitudes.
    • Writes concise menu descriptions based on actual kitchen ingredients and cooking methods.
    • Identifies operational patterns by flagging recurring complaints about specific dishes or shifts.
    • Routes high-risk inquiries, such as allergy concerns or refund requests, directly to management with internal flags.

    Why this beats prompting it yourself

    Generic prompts often result in flowery, "mouthwatering" marketing fluff that guests ignore. This skill enforces a "rush-aware" constraint, keeping every response under 100 words while strictly preventing the AI from hallucinating food safety or allergen information.

    Use cases

    • Drafting a warm "no" with alternative times for a fully booked Saturday night.
    • Converting technical kitchen prep notes into guest-facing menu copy.
    • Responding to a one-star review while flagging the specific service issue for the owner.
    • Clarifying dietary requirements by drafting a "let me check with the chef" response.

    Known limitations

    Cannot perform live booking actions; all outputs are drafts for human approval. Explicitly excludes legal, food safety, and employment advice.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 23 days ago

    • Passed all security checks, Safe to install

    Listed23 days ago
    Updated8 days ago

    Frequently Asked Questions