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Data & AI

Provides automated assistance for database recovery and management, with guidance for assessment, implementation, and deployment.

Data & AI

Manage and drive forward an ongoing project tracked in the projects/ directory. Use this skill to review genes, consult annotation subagents, and update project status.

Data & AI

Scaffold matplotlib code for TDA figures following project conventions, with standardized sizes, colors, and annotations.

Data & AI

Solves a graduate-level Continuous Algorithms homework problem with verified mathematical proofs. It reads the problem, consults a knowledge base of theorems, generates a LaTeX solution, then runs separate verification and style-check subagents to ensure correctness and consistent formatting. Best used for single math problems requiring rigorous proof and precise LaTeX output.

Data & AI

Orchestrates multi-stage research workflows: discovery, paper acquisition, GRADE quality assessment, synthesis, and citation auditing.

Data & AI

Analyzes time-to-event data using Kaplan-Meier curves, log-rank tests, and Cox proportional hazards regression with lifelines. Builds survival models from clinical and omics features.

Data & AI

Domain expertise for planning offshore geotechnical analyses, including soil classification (USCS, CPT), foundation design method selection, pile and anchor capacity calculations, on-bottom stability, and scour prediction. Helps engineers select appropriate methods and standards (API, DNV, ISO) for geotechnical element sizing and parameter derivation from CPT or borehole data.

Data & AI

Run an autonomous feature engineering experiment loop to improve the statcast-gbm model by analyzing residuals, generating hypotheses, and testing candidates.

Data & AI

Evaluates cached stock data freshness and routes analysis pipelines. Reads staleness rules, calculates days since last analysis, and determines if data can be reused or needs fresh collection.

Data & AI

Query and explore the Wayback Archiver personal web archiving system.

Data & AI

Generates retention statistics after CV_ratio() filtering on a normalized metabolomic feature matrix, reporting the number of features retained (CV ratio > 1.0) and their CV ratio distribution.

Data & AI

A structured workflow for applying Chan theory to technical analysis: define levels, identify structures, set invalidation points, and produce reproducible backtest rules. For research/study only; no investment advice.