# Food Finder

> Find restaurants and food delivery options near a location. Searches Swiggy for restaurants, cross-references Google Maps ratings, and recommends the best options. Learns food preferences over time.

- Skill: `floomhq/food-finder` (Agent Skill)
- Install (CLI): `npx skillmds@latest add floomhq/food-finder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/floomhq/food-finder/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: floomhq (https://skillmd.com/u/floomhq)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/floomhq/food-finder

---


# Food Finder Skill

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

## Prerequisites

- **Authenticated Browser MCP** must be available (Chrome with CDP on localhost:9222)
- Browser is logged into Google (for Maps)
- Swiggy works without login for browsing

## Workflow

### Step 1: Parse the Request

Extract from the user's query:
- **Dish/cuisine** (e.g., "momos", "pizza", "biryani", "Chinese")
- **Location** (ask the user if not provided)
- **Party size** (default: 2)
- **Budget** (optional)
- **Veg/non-veg** (default: no preference)

### Step 2: Read Preferences

Read `~/.claude/skills/food-finder/references/preferences.md` to check:
- Known favorite restaurants
- Rating thresholds
- Cuisine preferences
- Usual budget range

### Step 3: Search Swiggy

1. Navigate to `https://www.swiggy.com`
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
   - Swiggy rating (out of 5)
   - Delivery time (minutes)
   - Price for two (₹)
   - Cuisine tags
   - Any offers/discounts visible

**Tips for Swiggy scraping:**
- Use `browser_snapshot` to read the page content — it's more reliable than screenshots
- Swiggy loads 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 Swiggy 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 Swiggy tab

### Step 5: Rank & Recommend

Create a comparison table sorted by combined score:
- **Combined score** = (Swiggy rating × 0.4) + (Google Maps rating × 0.4) + (review volume score × 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 | Swiggy ⭐ | 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 Swiggy (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:

```bash
python3 ~/.claude/skills/food-finder/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

- **Swiggy 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 Swiggy results only with a note.

## Output Format

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

```
Top picks for momos near Koramangala:

| # | Restaurant      | Swiggy | Google (reviews) | Time  | Rs/2 |
|---|----------------|--------|-----------------|-------|------|
| 1 | Khawa Karpo    | 4.5    | 4.4 (890)       | 25min | 350  |
| 2 | Momo I Am      | 4.3    | 4.2 (1.2k)      | 35min | 300  |
| 3 | WowMomos       | 4.1    | 3.9 (2.5k)      | 20min | 250  |

Top pick: Khawa Karpo — highest combined rating, reasonable delivery time.
```