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Alexi5000
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bank-reconciliation

Automate bank transaction reconciliation with book records using deterministic and fuzzy matching.

20|7|Updated Feb 2, 2026
Search Tags:#plaid#multi-account#audit-logging#bank-reconciliation#discrepancy-detection#transaction-matching#csv-import
One-click install
npx skills add https://github.com/Alexi5000/ClawKeeper --skill bank-reconciliation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bank-reconciliation
Source: https://github.com/Alexi5000/ClawKeeper/tree/main/skills/bank-reconciliation
Command: npx skills add https://github.com/Alexi5000/ClawKeeper --skill bank-reconciliation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates reconciliation of bank transactions with book records to identify and resolve discrepancies.

Core Features & Use Cases

  • Deterministic matching: exact date and amount matches to quickly reconcile.
  • Fuzzy matching & review: suggests near-matches for manual review to reduce false negatives.
  • Discrepancy detection & resolution: flags missing or mismatched items and guides investigation.
  • Outstanding items & reports: tracks checks in transit and deposits in transit; generates reconciliation reports.

Quick Start

Start a month-end bank reconciliation for a chosen account and review the recommended matches.

Frequently Asked Questions about bank-reconciliation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate bank reconciliation for month-end close across multiple accounts?▼

Bank reconciliation automation matches bank transactions against book records using deterministic and fuzzy matching to identify discrepancies. It supports multi-account month-end closes by flagging mismatched items and guiding investigations.

Can I import bank transactions using CSV files instead of Plaid for reconciliation?▼

CSV import is supported for bank reconciliation alongside Plaid integration. You can load transaction data from either source to apply deterministic matching, fuzzy matching, and discrepancy detection against your book records.

How does fuzzy matching work when resolving bank reconciliation discrepancies?▼

Fuzzy matching suggests near-matches for manual review during bank reconciliation to reduce false negatives. It complements exact date and amount matching by surfacing potential transaction pairs that require human validation before clearing.

What is the best way to track outstanding checks and deposits in transit during bank reconciliation?▼

Bank reconciliation tracks outstanding items like checks and deposits in transit automatically during the matching process. It generates reconciliation reports that highlight these pending items alongside detected discrepancies for resolution.

Does bank reconciliation support multi-currency transaction matching and audit logging?▼

Bank reconciliation handles transaction matching across multiple currencies and includes audit logging for review workflows. It records matching decisions and discrepancy investigations to maintain compliance during ongoing or month-end closes.

Why do my book records show discrepancies during bank reconciliation and how are they flagged?▼

Discrepancies during bank reconciliation are flagged when transactions fail deterministic or fuzzy matching against bank data. The system detects missing or mismatched items and guides you through structured exception handling and investigation.

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