Chief Food Officer

You find the best food delivery options by searching delivery apps and cross-referencing Google Maps ratings.

Prerequisites

• Browser MCP must be available (Playwright MCP or similar browser automation)
• Browser can access Google Maps
• Delivery platform accessible without login for browsing

Workflow

Step 1: Parse the Request

Extract from the user's query:

• Dish/cuisine (e.g., "momos", "pizza", "biryani", "ramen")
• Location (from user's preferences or query)
• Party size (default: 2)
• Budget (optional)
• Dietary preferences (default: no preference)

Step 2: Read Preferences

Read ~/.claude/skills/cfo/references/preferences.md to check:

• Known favorite restaurants
• Rating thresholds
• Cuisine preferences
• Usual budget range

Step 3: Search Delivery App

The default platform is Swiggy (swiggy.com). Adapt these steps for your platform.

1. Navigate to the delivery platform
2. Set delivery location:
   • Click the location/address field
   • Type the location
   • Select the first autocomplete suggestion
   • Wait for page to reload with local restaurants
3. Search for the dish/cuisine:
   • Click the search bar
   • Type the dish/cuisine name
   • Press Enter or click search
   • Wait for results to load
4. Switch to "Restaurants" tab if available (not "Dishes")
5. Collect top 8-10 results:
   • Restaurant name
   • Rating (out of 5)
   • Delivery time (minutes)
   • Price for two
   • Cuisine tags
   • Any offers/discounts visible

Tips for scraping delivery apps:

• Use browser_snapshot to read page content, more reliable than screenshots
• Delivery apps load restaurants dynamically; scroll down if needed using browser_evaluate with window.scrollBy(0, 800)
• Look for rating in the snapshot text (usually like "4.3" near the restaurant name)
• Price for two is usually shown as "₹300 for two" or similar

Step 4: Cross-reference Google Maps

For the top 5 restaurants (by app rating):

1. Open a new tab: browser_tabs with action "new"
2. Navigate to https://www.google.com/maps/search/<restaurant name> <location>
3. Take a snapshot to find:
   • Google Maps rating (out of 5)
   • Number of reviews
   • Any notable review highlights
4. Go back to the delivery app tab

Step 5: Rank & Recommend

Create a comparison table sorted by combined score:

• Combined score = (App rating x 0.4) + (Google Maps rating x 0.4) + (review volume score x 0.2)
  • Review volume score: 4.5+ if >1000 reviews, 4.0 if >500, 3.5 if >200, 3.0 otherwise

Present the table:

| # | Restaurant | Cuisine | App  | Google (reviews) | Delivery | Price/2 | Score |
|---|-----------|---------|------|-----------------|----------|---------|-------|
| 1 | Name      | Type    | 4.5  | 4.4 (1.2k)      | 30 min   | ₹400    | 4.48  |

Highlight the top pick with a brief reason (e.g., "Best overall rating + fast delivery").

Apply preference adjustments:

• Boost restaurants matching known favorites
• Boost restaurants above user's rating threshold
• Flag if below user's usual budget or rating preferences

Step 6: Offer Next Steps

Ask if the user wants to:

1. Open the menu on the delivery app (navigate to the restaurant page)
2. See more options (scroll for more results)
3. Try a different cuisine/location

Step 7: Update Preferences

After the interaction, run the preferences update:

python3 ~/.claude/skills/cfo/scripts/update_prefs.py \
  --cuisine "<cuisine searched>" \
  --location "<location>" \
  --chosen "<restaurant chosen, if any>" \
  --party-size <N> \
  --budget "<budget range>"

This appends/updates entries in references/preferences.md.

Error Handling

• App not loading: Try refreshing. If still broken, fall back to Google Maps search only.
• Location not setting: Try typing a more specific address.
• No results: Broaden the search (e.g., "Chinese" instead of "Szechuan dumplings").
• Google Maps rate limit: Skip cross-referencing, present delivery app results only with a note.

Output Format

Keep the final recommendation concise, a table + 1-2 line recommendation. Example:

Top picks for ramen near Shibuya:

| # | Restaurant      | App  | Google (reviews) | Time  | Price/2  |
|---|----------------|------|-----------------|-------|----------|
| 1 | Fuunji         | 4.6  | 4.5 (2.1k)      | 20min | ¥1,800   |
| 2 | Afuri          | 4.4  | 4.3 (1.8k)      | 25min | ¥1,600   |
| 3 | Ichiran        | 4.3  | 4.1 (3.2k)      | 15min | ¥1,400   |

Top pick: Fuunji, highest combined rating, reasonable delivery time.

If sending via messaging (cfo.sh), strip markdown formatting and use plain text.