clawsavings
March 6, 2026 · View on GitHub
clawsavings
An Israeli consumer discount skill that maps any store to its best card, club, or voucher deal — covering HTZone, Poalim Wonder, and government price data across 72 stores and 14 categories.
Part of the OpenClaw skill ecosystem.
What It Does
- "Which card should I use at Victory?" → ranked list of best deals with exact ₪ amounts
- "Where's cheapest for milk?" → supermarket ranking + gov price data reference
- "Any Wolt discounts?" → live voucher prices from verified sources
Hebrew-first. Designed for WhatsApp and Telegram group agents.
Discount Sources
| Source | Type | Coverage | Auth Required |
|---|---|---|---|
| HiTech Zone Card (כאל) | POS discount at checkout | Food chains, pharma, restaurants, fashion, travel | Card required |
| HiTech Zone Club | Discounted vouchers | ~500 businesses across all categories | Login required |
| HiTech Zone PRO² | Cashback + shop discounts | HTZone site purchases, PRO² Shop | Login required |
| Poalim Wonder | Points → vouchers | Food chains, delivery, fashion, sports, gifts | Free signup |
| Gov Price Transparency | Full price comparison | All major supermarket chains (XML, daily) | None |
Categories
| Category | Hebrew | Stores |
|---|---|---|
| supermarkets | רשתות מזון | שופרסל, רמי לוי, ויקטורי, קרפור, שוק העיר, יינות ביתן + more |
| restaurants | מסעדות | ארומה, קפה לנדוור, קפה קפה, BBB, מוזס + more |
| delivery | משלוחים | וולט, תן ביס, סיבוס |
| pharma | פארם | סופר-פארם, ניופארם, גודפארם |
| fashion | אופנה | קסטרו, פוקס, גולף, ורדינון, SOHO + more |
| electronics | אלקטרוניקה | KSP, באג, איווורי, מחסני חשמל |
| entertainment | בילויים | יס פלאנט, סינמה סיטי, פלאנט, לב סינמה |
| gifts | מתנות | GiftZone, Love Gift Card, Dream Card |
| home_kitchen | בית ומטבח | איקאה, אייס, הום סנטר, סלטם |
| household_products | ניקיון | סנו |
| travel | תיירות | איסתא, בוקינג, מלונות פתאל |
| gym_sports | כושר | הולמס פלייס, דקטלון, מגה ספורט |
| fuel | דלק | פז, סונול, דלק |
| kids_baby | ילדים | שילב, טויס אר אס, בייבילנד |
Architecture
Two-Layer Knowledge Base
discounts.json
├── Structural layer — which source covers which category, max % off
│ near-static, update manually (quarterly)
│
└── Deal layer — exact voucher prices (e.g. Victory ₪300 → ₪259)
cached_at timestamp, 30-day TTL
refreshed on-demand when stale
Why two layers? Structural data (HTZone covers supermarkets at up to 20%) barely changes. Specific voucher prices drift monthly. Separating them means 80% of queries are answered from near-free static data; only live lookups cost extra.
Token-Efficient Loading
The agent loads only the relevant category section, not the full KB:
- Read
quick_lookup.store_to_category→ identify category (~200 tokens) - Read only that category + source metadata (~800–1,200 tokens)
Result: ~75% fewer tokens vs loading the full file.
On-Demand Cache Refresh
When cached_at is null or older than 30 days:
- Answer immediately from structural data (
max_pct) - If exact price needed → browser fetch → update
deals[]+cached_at→ save - Next request served from cache
Installation
Copy to your OpenClaw skills directory:
cp -r clawsavings ~/.openclaw/workspace/skills/clawsavings
The skill is loaded automatically when the agent receives a discount-related query.
Verified Deals (as of 2026-03-06)
A sample of the 24 verified Poalim Wonder deals in the KB:
| Store | Face Value | Price | Discount |
|---|---|---|---|
| שוק העיר | ₪300 | ₪255 + 50pts | 15% |
| ויקטורי | ₪300 | ₪259 + 50pts | 13.7% |
| קרפור | ₪300 | ₪259 + 50pts | 13.7% |
| רמי לוי | ₪700 | ₪620 + 50pts | 11.4% |
| וולט | ₪100 | ₪80 + 25pts | 20% |
| קסטרו | ₪150 | ₪109 + 25pts | 27.3% |
| ורדינון | ₪100 | ₪65 + 25pts | 35% |
| סלטם | ₪100 | ₪60 + 25pts | 40% |
| מגה ספורט | ₪250 | ₪199 + 25pts | 20.4% |
| SOHO | ₪200 | ₪149 + 50pts | 25.5% |
Updating the KB
Quarterly (structural layer)
Check if HTZone or Poalim Wonder benefit structure changed. Update max_pct and last_reviewed.
On-demand (deal layer)
python scripts/refresh_deals.py --source poalim_wonder
Or manually edit discounts.json: update deals[] array and set cached_at to today.
Roadmap
- Gov XML price integration — product-level price comparison via OpenIsraeliSupermarkets
- HTZone deal automation — browser refresh with saved session
- Max / Isracard — expand coverage to remaining major card programs
File Structure
clawsavings/
├── SKILL.md # Agent instructions + decision logic
├── discounts.json # Knowledge base (structural + deal layers)
├── header.jpg # Cover image
├── README.md # This file
└── scripts/
└── refresh_deals.py # Deal refresh automation
License
MIT