autonomous-loop
Iterate until success or limit, composing existing skills with Jidoka integration
Match bank transactions to invoices and surface unpaid / unmatched items in a Well workspace. Use when the user asks what's paid vs unpaid, to reconcile the bank, to find missing payments, or to match transactions to invoices.
$ npx -y skills add WellApp-ai/Well --skill reconciliation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/reconciliationContext preview
The summary Claude sees to decide when to auto-load this skill.
Match bank transactions to invoices and surface unpaid / unmatched items in a Well workspace. Use when the user asks what's paid vs unpaid, to reconcile the bank, to find missing payments, or to match transactions to invoices.
name: reconciliation description: Match bank transactions to invoices and surface unpaid / unmatched items in a Well workspace. Use when the user asks what's paid vs unpaid, to reconcile the bank, to find missing payments, or to match transactions to invoices.
Goal: connect money movement (`transactions`) to commercial documents (`invoices`) and report what is matched, unpaid, or unexplained.
Well's pipelines maintain the link between a bank transaction and the invoice(s) it settles. Check the schema before computing matches by hand:
1. `well_get_schema("invoice_transactions")` — the join between invoices and transactions, if exposed. Querying this root is the fastest path to "which invoices are settled by which transactions". 2. `well_get_schema("invoices")` — look for a payment-status / amount-paid / outstanding field and the `grand_total`. 3. `well_get_schema("transactions")` — amount, value/booking date, counterparty, and remittance fields.
Three buckets — **Matched**, **Unpaid invoices**, **Unexplained transactions** — each with counts and totals, plus the currency. Offer to drill into any bucket with `well_get_entity`.
Iterate until success or limit, composing existing skills with Jidoka integration
Generate and maintain BPMN 2.0 diagrams linked to Gherkin scenarios
Research best-in-class products using Browser MCP and WebSearch
Systematic debugging with MCP integration, auto-invoke from qa-commit, Phase 7 Harden