interbank-funding-traderv1.0.2

A fund's money-market trader must fund a known cash gap using pledged repo, choose tenors across the curve, match eligible collateral, and route to approved counterparties. The skill produces a baseline, defensive, and opportunistic plan with trigger prices, time windows, and fallback paths.

A trader pastes a list of bond codes and an account name to confirm which are pledgeable for a specific account. The skill checks the bond library rating catalog and account pledge rules, marks unknowns as pending, and gives a clear tick/cross output without guessing.

Before the market opens, a trader needs a concise funding outlook covering policy background, R/DR/GC signals, tax and issuance flows, and expected large-bank lending. The skill drafts trader-style notes separating observed facts, judgment, assumptions, and suggested actions.

A trader with maturing repos must decide renewal versus replacement under counterparty concentration and liquidity constraints. The skill maps limits, flags credit and compliance risks, and proposes negotiation posture with explicit fallback paths.

After execution, a team wants to compare plan versus actual, explain deviations, and capture reusable rules. The skill runs a structured review and converts stable lessons into conditional heuristics stored in references.

An in-house trading desk funding an asset-management firm's portfolios via interbank pledged repo. Traders manage daily cash gaps, tenor ladders, and collateral pools to keep portfolios fully funded at target cost.

A bank or securities firm runs a funding and placement desk serving its own book and clients, quoting repo rates and managing inventory of pledgeable bonds. The desk balances funding supply, counterparty limits, and regulatory ratios.

A packaged AI skill that encodes trader workflows, collateral verification, and decision playbooks for institutions deploying agent-assisted money-market operations. It supports training, simulation, and production workflow augmentation.