Claude Skills by iterationlayer

Extract product details from a supplier data sheet, then generate a branded e-commerce listing image with the product name, price, and key specs.

Extract product name, price, availability, description, and specifications from a public product page.

Extract structured fields from profit loss documents.

Extract structured fields from proforma invoice documents.

Extract appraised value, property details, and comparable sales from a property appraisal report into structured JSON.

Extract property ownership, legal descriptions, encumbrances, and recording details from property deeds and land registry documents.

Extract structured fields from property insurance claim documents.

Extract structured fields from property survey documents.

Extract organization name, registration number, status, registration date, and officers from a public registry page.

Extract line items and delivery details from a customer purchase order PDF, then generate a formatted order confirmation PDF ready to send back to the buyer.

Extract line items, quantities, unit prices, delivery dates, and supplier details from purchase order documents.

Extract receipt number, issuer, payer, date, VAT, and total from German receipts.

Extract address, listing price, bedrooms, bathrooms, amenities, and agent contact details from a public listing page.

Extract property address, price, room count, and features from a listing document into structured JSON for MLS and property platforms.

Extract merchant, date, line items, tax, and total from receipts.

Extract merchant, date, amount, and category from receipt photos and PDFs in one call, then generate an XLSX expense report with a totals row.

Extract structured fields from rechnung documents.

Extract receipt number, issuer, payer, date, VAT, and total from French receipts.

Extract structured fields from recurring invoice documents.

Extract employee, trip, mileage, per diem, expense lines, VAT, and totals from German travel expense claims.

Extract property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.

Extract applicant details, employment history, income, and references from a rental application form into structured JSON for tenant screening.

Extract applicant details from rental application PDFs and generate a side-by-side XLSX for comparing income, employment, and move-in dates.

Extract landlord, tenant, property, lease dates, rent, deposit, utilities, occupants, and pet terms from residential leases.

Extract menu item names, prices, descriptions, and dietary notes from a public restaurant menu page.

Extract candidate information from a resume PDF, then generate a formatted employee profile document for HR onboarding.

Extract candidate name, contact details, work history, and skills from resumes.

Extract structured fields from ro e-factura documents.

Extract receipt number, issuer, payer, date, tax, and total from Japanese receipts.

Extract structured fields from sa100 documents.

Extract structured fields from sales invoice documents.

Extract structured fields from schedule k 1 documents.

Extract structured fields from seikyusho documents.

Extract requestor, ship-from, ship-to, service, package, and handling instructions from shipping requests.

Extract structured fields from steuerbescheid documents.

Extract structured fields from steuererklaerung documents.

Extract structured fields from straight bill of lading documents.

Extract SKUs, product names, unit prices, availability, and minimum order quantities from a supplier catalog page.

Extract every product from a supplier catalog PDF — SKUs, names, prices, MOQs — and generate a ready-to-import XLSX in two API calls.

Extract supplier invoice details structured for direct import into ERP systems like SAP, Oracle, or Microsoft Dynamics.

Extract structured fields from t1 general documents.

Extract structured fields from t4 slip documents.

Extract clause types, obligations, limitations, and governing law from terms and conditions documents.

Extract key clauses from terms and conditions documents, then generate a plain-language PDF summary for client review.

Extract structured fields from title insurance documents.

Extract property, owner, legal description, liens, mortgages, easements, and tax status from title search reports.

Extract violation details, fine amounts, vehicle information, and payment deadlines from traffic fine notices.

Extract structured fields from umsatzsteuervoranmeldung documents.

Extract structured fields from vat100 documents.

Extract traffic violation data from fine notices, then generate a spreadsheet summarizing all violations for fleet management.