Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Manages complex spreadsheet tasks including professional financial modeling, data cleaning, and automated formula validation.
Integrates the latest Google Gemini 3 and 2.5 models using the modern @google/genai SDK for multimodal processing and advanced reasoning.
Compresses verbose agent memories into a dense, symbolic format for efficient knowledge retrieval and context management.
Builds and deploys production-ready Streamlit data applications natively within the Snowflake Data Cloud environment.
Enforces rigorous output-first verification and subagent delegation for reliable data science workflows in Claude Code.
Conducts systematic, high-rigor research and data synthesis to transform raw information into actionable insights and structured reports.
Debugs and verifies Jupyter, Marimo, and Jupytext notebooks by enforcing rigorous execution and traceback checks.
Enforces rigorous technical validation and user acceptance testing for data science workflows to ensure reproducible results.
Implements high-performance semantic search and RAG workflows using Cloudflare Vectorize V2 with optimized metadata filtering and batch processing.
Recommends optimized experiment plans and development tasks by analyzing historical project data across machine learning and GPU computing domains.
Optimizes Rcpp and C++ extensions by enforcing memory safety, const-correctness, and high-performance vectorized patterns.
Implements robust Bayesian survival analysis models including Weibull and Cox-like piecewise hazards with censoring support.
Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and modular prompt templates.
Analyzes the intersection of aging populations and sovereign debt to quantify fiscal vulnerability and potential currency dilution paths.
Implements production-ready RAG systems and semantic search using Google's Gemini embedding models with Cloudflare integration.
Validates financial calculations for XIRR and management fees to ensure accuracy and parity with industry-standard Excel models.
Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.
Implements robust Bayesian meta-analysis models using Stan and JAGS to synthesize data across multiple studies with advanced statistical precision.
Provides standardized patterns for integrating multi-provider LLMs and advanced Claude orchestration via CLI-based SDK architectures.
Provides expert methodological guidance and implementation patterns for conducting rigorous Multilevel Network Meta-Regression (ML-NMR).
Optimizes semantic search and RAG applications by selecting, implementing, and fine-tuning high-performance embedding models and chunking strategies.
Implements advanced prompt engineering techniques to optimize LLM performance and output reliability in production applications.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Evaluates and benchmarks different embedding models to optimize semantic search and vector retrieval performance on your specific data.
Provides discovery and management of specialized data science plugins, MCP servers, and data access tools within Claude Code.
Develops, debugs, and manages reactive Marimo Python notebooks with strict adherence to dependency tracking and cell structure.
Implements a homotopical framework for Artificial Life that treats organisms as morphisms and verifies structural changes at interaction time.
Implements production-grade Apache Airflow workflows using industry-standard patterns for orchestration, error handling, and testing.
Refines vague data analysis requests into clear, actionable objectives using Socratic questioning before any code is written.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
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