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Data & AI

Create publication-quality charts and graphs for economics papers using ggplot2 or matplotlib.

Data & AI

Detect significant price movements and unusual volume across crypto markets. Tracks gainers, losers, and pumps using market data APIs and blockchain RPC endpoints.

Data & AI

Crypto analyst skill to detect cross-asset divergences, rank pair-trade opportunities, and generate regime-aware strategy specs with evidence and catalysts.

Data & AI

Searches Reddit, X/Twitter, and the web for recent opinions on any topic. Produces a structured report with consensus, pain points, and signal confidence.

Data & AI

Troubleshooting guide for common Runway errors in AI video generation and creative AI tasks.

Data & AI

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

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. For predicting patient survival and modeling time-to-event outcomes.

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

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.