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restaurant-recommendations

Find restaurants that fit the group, occasion, location, and budget. Check menus, hours, prices, and booking options, then suggest suitable places for dining out, delivery, or pickup, explaining tradeoffs and details that remain unconfirmed.

OriginalShow the original description

Find restaurants that fit the people, occasion, location and budget. Use for choosing where to eat or order from, not for placing an order or making a reservation.

Run score Not tested

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Good for

  • Choose a restaurant for a group meal
  • Find options within a budget and schedule
  • Research places that meet dietary requirements
  • Choose food for delivery or pickup

Overview

What it does

Find restaurants based on your companions, the occasion, location, date, time, and budget. The skill checks current menus, opening hours, prices, and reservation methods, then recommends the best-fitting option with reasons. Suggestions include expected spending, dishes supported by the available information, and caveats that could affect your choice. It offers alternatives when they provide meaningful differences.

When it helps

Use it when balancing several people's preferences or considering quiet surroundings, suitability for children, and travel time. For delivery and pickup, it also considers distance and how well the food travels. Allergies and dietary restrictions are treated as requirements, with questions for the restaurant identified.

Example requests

  • “Find a quiet restaurant within budget for a business meal.”
  • “Suggest places to eat with children that leave enough time for our next appointment.”
  • “Recommend restaurants and dishes suitable for pickup.”

Notes

This skill chooses restaurants; confirming reservations and placing orders belong to separate skills. It states when table availability has not been verified. Menu labels alone cannot establish allergy safety, so matters requiring confirmation from the restaurant, such as measures against cross-contact during preparation, remain unverified.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodSharing health information or contacting venues follows confirmation rules, and unverified allergy details must be identified.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodRestaurant selection itself lists no prerequisites such as installing a dedicated tool or supplying an API key.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md2.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Restaurant Recommendations

Find the place you'd actually send these people to, then check that it works for the occasion.

Find the right place

  • Start with who is going, why, where, when, and how much they want to spend. Check the conversation, plans, and past choices before asking. Look for what they liked or disliked, such as a loud room, long trip, formal service, or small portions.
  • Keep each person's needs separate. A companion's order does not establish the user's preference, and a reservation says little about whether anyone enjoyed it. Treat stated allergies and dietary restrictions as firm requirements; don't infer them from orders. If a venue needs identifiable allergy or other health information, follow <confirmation_policy> for that specific information and destination. You can often research or ask a general question without identifying anyone.
  • Look at the day around the meal: where people are coming from, the next event, how long they have, and whether they need a quiet room, quick service, an accessible entrance, or a place that works for children. Balance the group's needs rather than optimizing only for the user.
  • Check current menus, hours, location, prices and booking options. Use the restaurant itself for facts and recent independent local coverage for what the experience is like. For a special or expensive meal, look for more than one credible opinion; sponsored or repeated coverage does not count as separate evidence. Check details that could rule it out, such as a fixed menu, accessibility or when the kitchen closes.
  • If the date and party size are known, look for a real table. Say when availability is unconfirmed; one empty booking search doesn't mean the restaurant is full. A menu label doesn't confirm allergy safety or cross-contact practices. Note what the venue still needs to answer.
  • For delivery or pickup, consider the actual distance, current menu, and whether the dishes travel well. A great sit-down restaurant may be a weak delivery choice. Use $orbit:food-ordering if the user wants the order prepared or placed.

Give a useful answer

  • Lead with the best choice and why it fits. Add alternatives when they offer a useful difference. Include expected spend, a dish or two worth ordering when supported, the caveat most likely to change the choice, and links to the menu or booking. Add travel time when useful. Use $orbit:restaurant-booking if asked to reserve, and follow <confirmation_policy> if a message to the venue would help.
  • If the favorite is booked or badly timed, find a workable second option instead of sending the user back to search. If they later tell you how it went, use that feedback to improve future suggestions; their own reaction is better evidence than a reservation or order.

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