Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Integrates Google's Gemini models directly into the terminal for one-shot Q&A, content generation, and text summarization.
Facilitates high-level scientific research through hypothesis generation, interdisciplinary analogy discovery, and methodological development.
Integrates Google Gemini CLI capabilities into Claude Code for advanced code analysis, automated refactoring, and multi-model workflows.
Automates video format conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and Whisper.
Implements architectural principles for building reliable, long-running AI agents that recover gracefully from failure and maintain context integrity.
Builds sophisticated financial models and backtests algorithmic trading strategies with integrated risk management metrics.
Builds and analyzes robust Bayesian statistical models using Stan-based R packages like brms and rstanarm.
Implements a multi-layered memory architecture based on Mem0 research to boost AI accuracy and persistence across sessions.
Accesses and analyzes real-time SEC filings and financial statements with token-efficient data retrieval.
Facilitates complex individual participant data (IPD) meta-analyses using tidy R workflows and advanced statistical modeling.
Automates professional spreadsheet creation, complex financial modeling, and data analysis with full support for formulas, formatting, and error-free recalculation.
Executes, monitors, and optimizes DBT data transformation pipelines with intelligent error handling and performance reporting.
Performs advanced health economic evaluations including cost-effectiveness analysis, Markov modeling, and sensitivity analysis using R.
Performs SQL data analysis, identifies trends, and generates comprehensive business intelligence reports directly within your workspace.
Transforms research papers and code repositories into high-quality, reusable AI skills through a multi-agent peer-review process.
Implements comprehensive survival analysis workflows in R using tidy and traditional biostatistical frameworks.
Implements and simulates complex adaptive clinical trial designs using industry-standard R packages like adaptr, rpact, and RBesT.
Translates natural language into precise DBT semantic layer queries with automated filtering, visualization, and context-aware data exploration.
Standardizes Indirect Treatment Comparison (ITC) analyses in R using tidy modeling principles and reproducible workflow patterns.
Implements modern R programming practices, tidyverse patterns, and performance optimizations for data science workflows.
Executes and monitors neural network training runs using best-practice configurations and mandatory logging backends.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
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