access-policies
Build the access_policies value — the granular, IAM-shaped way to allow or deny add-in features
Analyze the swap curve with government and inflation overlays to identify curve trade opportunities
> /plugin marketplace add anthropics/financial-services-pluginsHow it fires
How this command gets triggered: by you, by Claude, or both.
/analyze-swap-curveContext preview
What this command does when you run it.
Analyze the swap curve with government and inflation overlays to identify curve trade opportunities
description: Analyze the swap curve with government and inflation overlays to identify curve trade opportunities argument-hint: "<currency e.g. EUR> [index e.g. ESTR]"
> This command uses LSEG swap pricing, interest rate curves, and inflation curve tools. See [CONNECTORS.md](../CONNECTORS.md) for available tools.
Build and analyze the interest rate swap curve, overlay government yields and inflation breakevens, and identify curve trade opportunities.
See the **swap-curve-strategy** skill for domain knowledge on curve analysis and trade construction.
Ask the user for:
Call `ir_swap` in list mode with the currency and optional index.
Extract: available template references, index details, conventions.
Call `ir_swap` in price mode for standard tenors: 2Y, 5Y, 7Y, 10Y, 20Y, 30Y.
Extract: par swap rate and DV01 at each tenor.
Call `interest_rate_curve` (list then calculate) for the same currency.
Compute swap spread = swap rate minus government yield at each tenor.
Call `inflation_curve` (search then calculate) for the currency.
Compute real swap rate = nominal swap rate minus inflation breakeven at each tenor.
Compute curve metrics: 2s10s slope, 5s30s slope, 2s5s10s butterfly.
Identify opportunities: steepener, flattener, butterfly, or swap spread trades based on current levels vs historical norms.
Present: swap curve table with government overlay, curve metrics, real rate decomposition, and trade recommendations with DV01-neutral ratios.
Lead with curve shape summary and key metrics (2s10s, butterfly). Follow with detailed tables and trade idea section.
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment banking, equity research, private equity, and wealth management.
Build the access_policies value — the granular, IAM-shaped way to allow or deny add-in features
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