docs-reconcile

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Reconcile normalized CI/PL/BL fields and output mismatch report

โญ0stars๐Ÿ”€0forks๐Ÿ“View on GitHub๐Ÿ•Updated Jan 9, 2026

When & Why to Use This Skill

The docs-reconcile skill is a specialized data integrity tool designed to automate the cross-referencing of key fields across Commercial Invoices (CI), Packing Lists (PL), and Bills of Lading (BL). It processes normalized datasets to identify discrepancies, generating a detailed mismatch report that includes error counts and field-by-field status tables to ensure consistency in trade and financial documentation.

Use Cases

  • International Trade Compliance: Automatically verify that shipping details are consistent across CI, PL, and BL documents to prevent customs delays and regulatory fines.
  • Financial Auditing and Reconciliation: Streamline the audit trail by identifying mismatches between invoiced amounts, packed quantities, and transport records.
  • Logistics Data Quality Control: Use the automated mismatch report to detect and correct data entry errors in normalized logistics files before final submission or system integration.
namedocs-reconcile
descriptionReconcile normalized CI/PL/BL fields and output mismatch report

Instructions:

  • Inputs:
    • data/ci_fields.csv (template: data/templates/ci_fields.template.csv)
    • data/pl_fields.csv (template: data/templates/pl_fields.template.csv)
    • data/bl_fields.csv (template: data/templates/bl_fields.template.csv)
  • Run: powershell -ExecutionPolicy Bypass -File .codex/skills/docs-reconcile/scripts/run.ps1
  • Output: reports/docs_reconcile.md
  • Fail-safe: if inputs/columns missing, output only the 'ไปฅ๋ฌ๋–’' table. Evidence Required:
  • Report must include mismatch count + field-by-field status table.
docs-reconcile โ€“ AI Agent Skills | Claude Skills