Tear Sheet

🏢Official
by anthropics · vlatest · Repository

This skill extracts key information from marketing materials like tear sheets to quickly summarize product details and benefits.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add tear-sheet npx -- -y @trustedskills/tear-sheet
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "tear-sheet": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/tear-sheet"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The tear-sheet skill extracts key data points from financial documents, such as invoices or statements. It can identify and isolate specific fields like dates, amounts, vendor names, and line items. This allows for automated data entry and analysis of complex financial records.

When to use it

  • Automating invoice processing: Extracting data from incoming supplier invoices to populate accounting systems.
  • Analyzing bank statements: Identifying recurring payments or unusual transactions within a statement.
  • Extracting information from loan documents: Pulling key terms, interest rates, and payment schedules from mortgage or business loan agreements.
  • Processing expense reports: Automatically identifying dates, amounts, and categories from receipts attached to expense reports.

Key capabilities

  • Data extraction from financial documents
  • Identification of specific fields (dates, amounts, names)
  • Line item recognition
  • Support for various document formats (implied by use cases)

Example prompts

  • "Extract the invoice number and total amount from this PDF."
  • "What is the due date on this bank statement?"
  • "Can you list all vendor names mentioned in these invoices?"

Tips & gotchas

The accuracy of data extraction depends heavily on the quality and format of the input document. Clear, well-structured documents will yield better results than poorly scanned or handwritten ones.

Tags

🛡️

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Details

Version
vlatest
License
Author
anthropics
Installs
25

🏢 Official

Published by the company or team that built the technology.