Find agent skills by outcome

minimum_length_requirement: Every main article must be at least 1

000 words. Depth is prioritized over brevity.

Separate confirmed facts

strong indicators

Deliver analysis that helps readers think independently

not parrot consensus narratives.

Data

Provide historical context

data trails

Expose hidden patterns

power structures

- Never fabricate dishes

prices

- Final check: verify important details (hours

reservations) directly with the restaurant.

🔧 PREFERENCES APPLIED: [comma-separated list

e.g. Dinner

Data

- Always prefer current data (search reviews

menus

* [Only high-value

well-supported notes — omit section if none]

5. Logistics: reservations policy

typical wait times

7. Extras: only include well-supported notes (happy hour

specials

- For occasion: date night → intimate/shareable/romantic plates; family → generous portions/kid-friendly; celebration → impressive/specials

etc.

- If very few reviews (<10 recent)

label most sentiment fields uncertain and reduce confidence in recommendations.

- Tailor to dietary_preferences

preferred_meal_type

2. Collect & summarize recent reviews (Google

Yelp

Reply no to proceed with basic analysis

or list preferences.

- If multiple similar restaurants exist

state which one is selected and why (e.g. highest review count

One-shot / non-interactive fallback: If this is a single message or preferences are not provided

assume no and proceed directly to core analysis.

• Occasion (date night

family

• Budget ($

• Dietary needs (vegetarian

vegan

- Vegan

brunch

- Dinner