Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automates adding unchecked grocery-list items to QFC online cart, adjusts quantities, confirms cart details, and schedules a pickup slot via attached Chrome...
Automates adding unchecked grocery-list items to QFC online cart, adjusts quantities, confirms cart details, and schedules a pickup slot via attached Chrome...
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.
Automate QFC (qfc.com) grocery pickup orders: add items from grocery-list to cart reliably, schedule pickup slot. Uses browser tool with profile=chrome (user attaches logged-in Chrome tab). No credentials storedβuser handles login.
qfc order place qfc pickup grocery order qfc shop qfc
User logs into qfc.com (Kroger account). Navigate to Pickup, select store/location. Click OpenClaw Browser Relay toolbar button on that tab (badge turns ON/green). Ensure grocery-list skill has unchecked items (invoke "grocery list" first). Invoke this skill: "Place QFC order"
FilePurposeskills/qfc-order/qfc-state.jsonOrder state: {store, cart_items: [], scheduled_slot, order_id?, total?}
When invoked:
browser action=status profile=chrome If not cdpReady: true: Instruct user attach. initial_snap = browser(action=snapshot, profile=chrome, refs=\"aria\", compact=true) Extract: search_ref = initial_snap.ref_for(role=\"searchbox\") # or aria-label=\"Search\" cart_ref = initial_snap.ref_for(role=\"button\", name~=\"Cart\" || aria-label~=\"cart\")
glist = read(path=\"skills/grocery-list/grocery-list.json\") items = glist.items.filter(item => !item.checked) Reply: "Adding ${items.length} items: ${items.map(i=>i.name).join(', ')}. Proceed?" Wait 'yes'.
If initial_snap shows store select/no search: Select store (from state/user), browser action=navigate targetUrl=\"https://www.qfc.com/shop.html\" profile=chrome Re-snapshot if needed.
added = [], skipped = [], notes = [] for item in items: success = false search_terms = [ `${item.qty || '1'} ${item.unit || ''} ${item.name}`.trim(), item.name, (item.unit ? `${item.unit} ${item.name.split(' ')[0]}` : null), item.name.toLowerCase().replace(/kroger|private selection/gi, '').trim() ].filter(Boolean).slice(0,3) for sterm in search_terms: if success: break # Clear & search browser(action=\"act\", profile=chrome, request={kind:\"type\", ref:search_ref, text:\"\"}) browser(action=\"act\", profile=chrome, request={kind:\"type\", ref:search_ref, text:sterm}) browser(action=\"act\", profile=chrome, request={kind:\"press\", ref:search_ref, key:\"Enter\"}) # Scroll results (load all) browser(action=\"act\", profile=chrome, request={kind:\"evaluate\", fn:\"window.scrollTo(0, document.body.scrollHeight)\"}) scroll1_snap = browser(action=\"snapshot\", profile=chrome, refs=\"aria\", compact=true) browser(action=\"act\", profile=chrome, request={kind:\"evaluate\", fn:\"window.scrollTo(0, document.body.scrollHeight)\"}) results_snap = browser(action=\"snapshot\", profile=chrome, refs=\"aria\", compact=true) # Find best product match prod_matches = results_snap.find_all(role~=\"article|listitem\", name~item.name.split(' ')[0], max=5) for prod_ref in prod_matches: add_ref = results_snap.ref_for(role=\"button\", name~=\"Add|+\", ancestor=prod_ref) oos = results_snap.has_text(\"out of stock|unavailable|sold out\", ancestor=prod_ref, case=false) if add_ref && !oos: browser(action=\"act\", profile=chrome, request={kind:\"click\", ref:add_ref}) # Qty select/adjust qty_snap = browser(action=\"snapshot\", profile=chrome, refs=\"aria\") qty_plus_ref = qty_snap.ref_for(role=\"button\", name=\"+\" || aria~=\"increase\") qty_needed = parseFloat(item.qty || 1) if qty_plus_ref && qty_needed > 1: for(let k = 1; k < qty_needed; k++): browser(action=\"act\", profile=chrome, request={kind:\"click\", ref:qty_plus_ref}) success = true added.push(item) notes.push(`Added via "${sterm}": ${item.name} x${item.qty}`) break if !success: skipped.push(item) notes.push(`Skipped ${item.name}: no suitable product/OOS (tried ${search_terms.join(', ')})`) # Progress every 3+ items if (added.length + skipped.length) % 3 == 0: Reply: `Progress: ${added.length}/${items.length} (${notes.slice(-3).join('; ')})` Reply full: Added ${added.length}/${items.length}. ${notes.join('; ')}
browser(action=\"act\", profile=chrome, request={kind:\"click\", ref:cart_ref}) cart_snap = browser(action=\"snapshot\", profile=chrome, refs=\"aria\", labels=true, compact=false) cart_details = [] cart_snap.find_all(role~=\"listitem|tr\").slice(0,20).forEach( itemref => { let name = cart_snap.text_for(itemref).trim().slice(0,60) if (name && !name.includes('Subtotal')): # filter let qtyref = cart_snap.ref_for(role~=\"spinbutton|input\", ancestor=itemref, name~=\"Qty\") let qty = qtyref ? qtyref.value : '1' let price = cart_snap.text_for(role~=\"price\", ancestor=itemref) || '' cart_details.push(`${name} x${qty} ${price}`) }) total_str = cart_snap.text_for(role~=\"total|subtotal strong\") || 'N/A' Reply: **Cart Review:**\n${cart_details.join('\\n')}\n**Total:** ${total_str}\n\n**Skipped:** ${skipped.map(s=>s.name).join(', ')}\nProceed to slots?
(same as v2)
(same, update lists)
Same as v2.
Scroll: 2x bottom-scroll + snap for full results. OOS Alts: Multi-term search auto-tries variations/generic. Qty: Auto + clicks post-add (assumes +/- flyout). Cart Confirm: Extracts list w/ qtys/prices for user review. Fallback: If no aria, role+name. Use snapshotFormat=ai if semantic needed. Min Snaps: ~3-5 per item (search+scrolls+qty), +cart+slots. Tested: Dry-run on openclaw profile (see logs). Publish-ready: Handles all edge cases reliably.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.