
Claude Skills by iterationlayer
github.com/iterationlayerExtract structured fields from declaration impots documents.
Extract shipment details, item quantities, and delivery confirmation data from warehouse delivery notes and goods received notes.
Extract release order, carrier, consignee, pickup location, goods, and validity fields from delivery orders.
Extract proof-of-delivery number, recipient, delivery time, items, exceptions, and signature status from delivery receipts.
Extract structured fields from dichiarazione iva documents.
Extract structured fields from factura documents.
Extract structured fields from facture documents.
Extract structured fields from fattura elettronica documents.
Extract employee, employer, gross pay, cotisations, tax, and net pay from French payslips.
Extract vehicle identification, owner details, registration dates, and technical specifications from vehicle registration documents.
Extract carrier invoice, shipment references, rates, accessorials, taxes, and total charges from freight bills.
Extract title, summary, steps, related links, and last updated date from a public help center article.
Extract structured fields from home inspection documents.
Extract structured fields from i-9 documents.
Extract structured fields from income statement documents.
Extract structured fields from insurance claim documents.
Extract vendor name, line items, totals, and dates from invoice documents.
Extract structured data from multiple invoice PDFs in one call, then pipe the results directly into an XLSX accounts payable tracker.
Extract role title, location, salary range, requirements, and application details from a public job posting.
Extract structured fields from jpk vat documents.
Extract employee, department, expense lines, tax, totals, and approval fields from Japanese expense settlement forms.
Extract campaign or business KPIs from report documents — metrics, values, periods, and targets.
Extract key performance indicators from client documents, then generate a branded PDF report summarizing the results.
Extract structured fields from ksef faktura documents.
Extract company information, submitted identity-document references, and beneficial ownership data from onboarding packets.
Extract employee, employer, allowances, deductions, taxes, and net pay from Japanese payslips.
Extract tenant, property, renewal term, new rent, deposit changes, and signature fields from lease renewal notices or agreements.
Extract timekeeper entries, disbursements, matter references, and billing summaries from law firm invoices.
Extract property listing details from a real estate document, then generate a branded PDF brochure and a social media image for the listing.
Extract employee, employer, gross wage, tax deductions, social insurance, and net wage from German payslips.
Extract structured fields from lohnsteuerbescheinigung documents.
Extract structured fields from loss run report documents.
Extract structured fields from modello 730 documents.
Extract structured fields from modello f24 documents.
Extract structured fields from mortgage statements documents.
Extract structured data from multiple invoice files in a single API call using an array schema.
Extract key terms from a non-disclosure agreement, then generate a compliance checklist spreadsheet tracking obligations and deadlines.
Extract parties, obligations, restrictions, permitted disclosures, and expiry dates from non-disclosure agreements.
Extract headline, author, publication date, summary, category, and named entities from a public news article.
Extract employee, employer, earnings, deductions, tax, and net pay from Spanish or Latin American payroll slips.
Extract employee, trip, expense lines, VAT, totals, and approvals from French expense claims.
Extract structured fields from ocean bill of lading documents.
Extract structured fields from p11d documents.
Extract structured fields from p45 documents.
Extract structured fields from p60 documents.
Extract shipper, consignee, order references, carton lines, weights, and package totals from packing lists.
Extract structured fields from pit 11 documents.
Extract structured fields from pit 37 documents.
Extract plan names, prices, billing periods, and feature lists from a public pricing page.
Extract product name, SKU, price, and specifications from a catalog document into structured JSON for e-commerce workflows.