Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours. Use when user asks about "coffee in Jerusalem", "Jerusalem cafe", "בי...
Search Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours. Use when user asks about "coffee in Jerusalem", "Jerusalem cafe", "בי...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Search specialty coffee shops in Jerusalem - ratings, amenities, opening hours, reviews, and locations from coffee.amsterdamski.com, created and curated by Shaul Amsterdamski (@amsterdamski2). Data from the official public JSON export provided by the site maintainer. May not reflect current status. Provided "as is" without warranty of any kind.
# List all coffee shops python3 {baseDir}/scripts/jlm-coffee.py list # Find a shop by name python3 {baseDir}/scripts/jlm-coffee.py search "סיבריס"
CommandDescriptionlistList all approved specialty coffee shopssearch <query>Search shops by name (Hebrew or English)get <id_or_name>Get full details for a specific shopfilter <amenity>Filter shops by amenity (wifi, dogs, kosher, etc.)open-nowShow shops currently openamenitiesList all available amenity filterssurprisePick a random coffee shop (prefers open ones)
# Search by name (Hebrew or English) python3 {baseDir}/scripts/jlm-coffee.py search "רוסטרס" python3 {baseDir}/scripts/jlm-coffee.py search "Cafe Pepa" # Filter by amenity python3 {baseDir}/scripts/jlm-coffee.py filter wifi python3 {baseDir}/scripts/jlm-coffee.py filter dogs python3 {baseDir}/scripts/jlm-coffee.py filter kosher python3 {baseDir}/scripts/jlm-coffee.py filter laptop # Shops open right now python3 {baseDir}/scripts/jlm-coffee.py open-now # Full details for a shop python3 {baseDir}/scripts/jlm-coffee.py get "בארוק" python3 {baseDir}/scripts/jlm-coffee.py get EljFiggwObssQpypWMf0
OptionCommandsDescription--jsonallOutput in JSON format (agent-friendly)--no-colorallDisable colored output (auto-detected for non-TTY)
KeyLabelAliaseswifiWiFidogsDog-friendlydog, dog-friendlylaptopLaptop-friendlylaptopsoutdoorOutdoor seatingoutside, terraceaccessibleWheelchair accessiblewheelchairveganVegan optionskidsKid-friendlychildren, kid-friendlyquietQuiet atmospheresmokingSmoking arealocal-roastingLocal roastingroastingsell-beansSells beansbeansfilter-coffeeFilter coffeefilterkosherKosheropen-saturdayOpen Saturdaysaturday, shabbatpowerPower outletsoutletsparkingParking
# 1. Find shops with WiFi and look at the list python3 {baseDir}/scripts/jlm-coffee.py filter wifi # 2. Get details on one that looks good python3 {baseDir}/scripts/jlm-coffee.py get "מטאפורה" # 3. Check what's open right now python3 {baseDir}/scripts/jlm-coffee.py open-now # 4. Feeling lucky? Get a random pick python3 {baseDir}/scripts/jlm-coffee.py surprise
Community-curated: All specialty coffee in Jerusalem, community-reviewed Official data source: Reads from a public JSON export provided by the site maintainer (no API key, no Firestore) Bilingual: Search works with Hebrew and English names Opening hours: Based on Google Places data, cached by the site Reviews included: Shop details show community reviews with ratings Color output: ANSI colors in terminal (respects NO_COLOR env var and --no-color flag) CLI shortcut: Install as jlm-coffee via symlink to the wrapper script No dependencies: Python stdlib only (urllib, json) Fast caching: 15-minute local cache TTL - one fetch covers all commands
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