By Changhochien
Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.
Analyze the bond futures basis with CTD identification, implied repo rate, and basis trade assessment
Analyze a bond's relative value vs yield curves and credit spreads with scenario stress testing
Evaluate FX carry trade opportunities with spot, forwards, vol surface, and historical context
Analyze option volatility with vol surface, Greeks, and implied vs realized vol comparison
Analyze the swap curve with government and inflation overlays to identify curve trade opportunities
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.
Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01, analyzing cashflow waterfalls, stress testing rate scenarios, or assessing portfolio composition.
Evaluate FX carry trade opportunities by combining spot rates, forward points, interest rate differentials, volatility surface analysis, and historical price trends. Use when analyzing carry trades, comparing FX forward curves, assessing carry-to-vol ratios, or evaluating currency pair opportunities.
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.
External network access
Connects to servers outside your machine
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A collection of Pi agent skills for financial services professionals, adapted from Anthropic's financial-services project.
⚠️ Note: This is not a pure copy. Skills have been adapted for the Pi agent ecosystem with proper
SKILL.mdformatting, pi package manifest, and workspace installation support.
| Category | Skills |
|---|---|
| Investment Banking | Pitch decks, teasers, CIMs, deal tracking, M&A modeling |
| Equity Research | DCF, comps, LBO, sector analysis, earnings reports |
| Fixed Income | Swap curves, bond analysis, FX carry, options vol |
| Private Equity | IC memos, portfolio monitoring, returns analysis |
| Wealth Management | Investment proposals, client reports, rebalancing |
| Accounting | GL reconciliation, accruals, variance commentary |
| Compliance | KYC document parsing, AML rules |
# Install as workspace package (recommended for teams)
pi install npm:@hcchang/pi-financial-services -l
# Or global
pi install npm:@hcchang/pi-financial-services
Simply ask naturally:
Skills are organized in plugins/:
partner-built/ - LSEG, S&P Global data connectorsvertical-plugins/ - Core skills by vertical (IB, ER, PE, WM, etc.)Originally created by Anthropic. Adapted for Pi agent by @hcchang.
MIT
npx claudepluginhub changhochien/pi-financial-services --plugin lsegBriefing pack before every client meeting
Equity research tools: earnings analysis, initiating coverage reports, and research workflows
Core financial modeling and analysis tools: DCF, comps, LBO, 3-statement models, competitive analysis, and deck QC
Fund administration and finance ops skills: GL reconciliation, break tracing, accruals, roll-forwards, variance commentary, NAV tie-out
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