Notre avis
Automatise le rapprochement bancaire en faisant correspondre les transactions comptables et bancaires, en détectant les écarts et en générant des rapports.
Points forts
- Importation de transactions via CSV ou Plaid
- Correspondance exacte et floue avec tolérance de dates et montants
- Détection des écarts et suivi des éléments en suspens
- Génération de rapports de rapprochement structurés
Limites
- Nécessite une configuration initiale des comptes et des règles
- La correspondance floue peut nécessiter une validation manuelle
- Ne gère pas les transactions multi-devises complexes
À utiliser pour le rapprochement mensuel des comptes bancaires ou en cas de détection d'écarts de solde.
Éviter de l'utiliser pour des transactions en temps réel ou lorsque les données bancaires ne sont pas fiables.
Analyse de sécurité
SûrThe skill is a procedural guide for bank reconciliation. It instructs querying a database and generating reports, with no execution of destructive commands. It explicitly requires manual approval for adjustments and logging of actions, posing no security risk.
Aucun point d'attention détecté
Exemples
Reconcile bank account 1234 for January 2026 using the imported bank CSV file. Generate a report and flag any discrepancies.Show me all unmatched transactions from the January reconciliation for account 1234. Identify potential fuzzy matches.Verify the book balance for account 1234 equals the cleared bank balance plus outstanding items as of January 31, 2026.name: bank-reconciliation description: "Match bank transactions to book transactions, detect discrepancies, and resolve mismatches. Use when reconciling bank accounts, investigating unmatched transactions, or generating reconciliation reports. Handles multiple accounts and currencies."
Bank Reconciliation Skill
Purpose
Automates the bank reconciliation process by matching book transactions to bank statement transactions, detecting discrepancies, and facilitating resolution.
Triggers
- End of month reconciliation scheduled
- User initiates manual reconciliation
- Discrepancy detected in account balance
- Bank feed imported via Plaid
Capabilities
- Transaction Import - Import bank transactions via Plaid or CSV
- Transaction Matching - Match book to bank transactions
- Discrepancy Detection - Identify unmatched transactions
- Fuzzy Matching - Match similar amounts and dates
- Outstanding Items - Track checks and deposits in transit
- Balance Verification - Verify book balance = cleared bank balance + outstanding items
Instructions
Step 1: Import Bank Transactions
Options:
- Plaid Integration - Fetch via data-sync skill
- CSV Upload - Parse CSV file with columns: date, description, amount
- Manual Entry - User inputs transactions
Step 2: Load Book Transactions
Query database for unreconciled transactions in date range:
SELECT * FROM transactions
WHERE account_id = $1
AND date BETWEEN $2 AND $3
AND reconciled = FALSE
Step 3: Exact Matching
Match transactions where:
- Date matches exactly
- Amount matches exactly (cents)
- Payee name matches (after normalization)
Mark as reconciled = TRUE when matched.
Step 4: Fuzzy Matching
For unmatched transactions, try fuzzy match:
- Date proximity - Within ±3 days
- Amount match - Exact amount
- Payee similarity - Levenshtein distance < 3 or substring match
Present fuzzy matches for manual review.
Step 5: Discrepancy Detection
Identify discrepancies:
- Missing from Bank - In books but not in bank statement (check in transit?)
- Missing from Books - In bank but not in books (unrecorded transaction?)
- Amount Mismatch - Same transaction, different amounts (data entry error?)
- Date Mismatch - Same transaction, different dates (timing difference?)
Step 6: Outstanding Items
Track outstanding items:
- Checks Written - In books, not yet cleared bank
- Deposits Made - In books, not yet posted by bank
Calculate outstanding balance:
Book Balance - Outstanding Checks + Outstanding Deposits = Bank Balance
Step 7: Generate Report
Create reconciliation report:
{
"account_id": "uuid",
"period_start": "2026-01-01",
"period_end": "2026-01-31",
"book_balance": 5000000, // cents
"bank_balance": 4950000, // cents
"matched_count": 45,
"unmatched_book_count": 2,
"unmatched_bank_count": 1,
"outstanding_checks": [
{"id": "...", "amount": -25000, "payee": "..."}
],
"outstanding_deposits": [
{"id": "...", "amount": 75000}
],
"discrepancies": [
{
"type": "missing_from_bank",
"transaction_id": "...",
"description": "...",
"amount": -5000
}
],
"status": "balanced", // or "discrepancy"
"requires_investigation": false
}
Decision Logic
Auto-Reconcile
- Exact match (date, amount, payee)
- Previously reconciled (if re-running)
Manual Review Required
- Fuzzy match (present options to user)
- Significant discrepancy (> $100)
- Unusual pattern (e.g., duplicate amounts)
Escalate
- Unresolved after 3 reconciliation attempts
- Balance off by > $1000
- Fraud indicators detected
Integration Points
- data-sync (via Integration Lead) - For Plaid import
- transaction-matcher (Reconciliation worker) - For matching logic
- discrepancy-investigator (Reconciliation worker) - For investigation
- audit-trail - Log all reconciliation actions
Models
- Matching: Deterministic algorithm (no LLM)
- Payee Normalization: Claude Sonnet 4 or Gemini Flash
- Discrepancy Investigation: Claude Sonnet 4
Security
- Never modify historical transactions automatically
- Require manual approval for adjustments
- Log all reconciliation actions to audit_log
- Preserve original bank data
Invoke this skill at month-end or when investigating account discrepancies.
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