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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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- Managing Credit Risk ModelsEvaluates and monitors credit risk models (PD, LGD, EAD) with calibration and discrimination metrics. Use when validating credit models, assessing model performance, or calibrating default models.Votes: 0GitHub stars: 41
- Building Quantitative Trading ModelsStructures systematic trading strategy development with signal generation, backtesting, and validation. Use when building quant models, backtesting strategies, or validating trading signals.Votes: 0GitHub stars: 41
- Analyzing Scenario AnalysisStructures forward-looking scenario analysis with macroeconomic assumptions and portfolio impact assessment. Use when conducting scenario analysis, modeling macro scenarios, or assessing portfolio vulnerability.Votes: 0GitHub stars: 41
- Analyzing Housing MarketsStructures housing market analysis with price trends, inventory dynamics, and affordability metrics. Use when analyzing housing data, tracking home prices, or assessing affordability.Votes: 0GitHub stars: 41
- Analyzing Factor ExposuresDecomposes portfolio factor exposures (value, growth, momentum, quality, size) with benchmark relative analysis. Use when analyzing factor tilts, decomposing returns, or managing style exposure.Votes: 0GitHub stars: 41
- Structuring Smart Beta Product DesignDesigns systematic investment products with transparent methodology, rebalancing rules, and index construction specifications. Use when designing smart beta products, creating index methodologies, or structuring systematic funds.Votes: 0GitHub stars: 41
- Structuring Pairs Trading StrategiesDesigns statistical arbitrage pairs with cointegration analysis, spread dynamics, and entry/exit signal calibration. Use when building pairs trades, analyzing cointegration, or designing mean-reversion strategies.Votes: 0GitHub stars: 41
- Modeling Portfolio Risk DecompositionDecomposes portfolio risk with factor attribution, idiosyncratic risk, and marginal contribution to risk analysis. Use when decomposing portfolio risk, attributing risk sources, or analyzing factor risk contribution.Votes: 0GitHub stars: 41
- Modeling J Curve Adjusted PricingBuilds pricing models incorporating J-curve positioning with blind pool risk, early-vintage assessment, and age-weighted adjustments. Use when pricing early-vintage funds, analyzing J-curve risk, or adjusting for fund maturity.Votes: 0GitHub stars: 41
- Modeling Interest Rate And Basis RiskAnalyzes structural interest rate exposure with fixed/floating mismatch, basis risk, and cap/floor adequacy assessment. Use when modeling structural rate risk, analyzing basis risk, or evaluating interest rate hedging needs.Votes: 0GitHub stars: 41
- Modeling Inflation Linkage In InfrastructureAnalyzes inflation protection mechanisms in infrastructure with CPI-linked revenues, index-based contracts, and real return modeling. Use when modeling inflation linkage, analyzing CPI adjustment, or evaluating real return profiles.Votes: 0GitHub stars: 41
- Modeling Fx Derivative PricingPrices FX options and exotic structures with Garman-Kohlhagen, local volatility, and stochastic volatility models. Use when pricing FX derivatives, evaluating FX options, or modeling cross-currency products.Votes: 0GitHub stars: 41
- Modeling Clo Cash Flow WaterfallsBuilds CLO waterfall models with coverage tests, reinvestment criteria, and distribution allocation across tranches. Use when modeling CLO structures, analyzing OC/IC tests, or projecting tranche returns.Votes: 0GitHub stars: 41
- Modeling Book Building DynamicsStructures book-building analysis with demand tiers, allocation methodology, and price sensitivity assessment. Use when managing book-building, analyzing investor demand, or optimizing allocation strategies.Votes: 0GitHub stars: 41
- Building Multi Factor Equity ModelsConstructs multi-factor models with value, momentum, quality, size, and volatility factor definitions and portfolio construction rules. Use when building factor models, designing systematic strategies, or constructing factor portfolios.Votes: 0GitHub stars: 41
- Building Custom Factor DefinitionsConstructs proprietary factor definitions with signal specification, universe application, and orthogonalization methodology. Use when defining custom factors, creating proprietary signals, or building factor libraries.Votes: 0GitHub stars: 41
- Analyzing Volatility Surface DynamicsEvaluates implied volatility surfaces with skew analysis, term structure dynamics, and surface fitting methodologies. Use when analyzing vol surfaces, assessing skew dynamics, or calibrating volatility models.Votes: 0GitHub stars: 41
- Analyzing Make Whole And Redemption ClaimsEvaluates make-whole premium claims in bankruptcy with contract interpretation, present value disputes, and secured status analysis. Use when analyzing make-whole claims, evaluating redemption disputes, or assessing premium recovery.Votes: 0GitHub stars: 41
- Analyzing Equity Linked InstrumentsEvaluates convertible bond and mandatory convertible structures with equity sensitivity, credit floor, and Greeks analysis. Use when analyzing convertible offerings, pricing equity-linked instruments, or modeling conversion economics.Votes: 0GitHub stars: 41
- Analyzing Credit Agreement TermsEvaluates credit agreement provisions with borrower flexibility, lender protections, and documentation comparison analysis. Use when reviewing credit agreements, analyzing doc terms, or comparing loan documentation.Votes: 0GitHub stars: 41
- Recursive TddUse when implementing any code in recursive-mode Phase 3. Enforces strict RED-GREEN-REFACTOR discipline with The Iron Law - no production code without a failing test first. Trigger phrases: "implement this", "add feature", "fix bug", "write a failing test", "TDD".Votes: 0GitHub stars: 117
- 02 Evaluation DatasetsUse when you need to create, manage, or load evaluation datasets for testing agent quality. Covers the MLflow GenAI data format, persisting benchmarks in Unity Catalog, merging records without duplicates, and validating data before evaluation — even if you just want "give me a dataset I can pass to mlflow.genai.evaluate()." Also use when building benchmarks from production traces or SME labels. SDLC Step 2.Votes: 0GitHub stars: 6
- 04 Grain ValidationPre-merge grain validation patterns for Gold layer fact tables. Use when creating fact table merge scripts to validate that DataFrame grain matches DDL PRIMARY KEY, prevent transaction vs aggregated confusion, and catch grain mismatches before MERGE. Includes grain inference functions, pre-merge validation, validation SQL, and common grain mismatch errors.Votes: 0GitHub stars: 6
- 07 Appkit Chat HistoryAdd persistent chat history to an AppKit application using the Lakebase plugin and the Serving plugin (both AppKit-native, no Vercel AI SDK). Covers database schema, session auth middleware, a server-side proxy route that streams from `AppKit.serving("agent").asUser(req).stream()` while persisting assistant messages and capturing MLflow `trace_id`, the history API routes, a history sidebar, and ephemeral-mode fallback. Use when asked to persist conversations, add chat history, save messages, ...Votes: 0GitHub stars: 6