Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Architects high-performance voice-based AI systems focusing on low-latency, natural conversation flow, and robust turn-taking.
Integrates multiple LLM providers using isolated interfaces and normalized data structures for consistent AI implementation.
Performs advanced natural language processing to extract insights, sentiment, and key topics from text data.
Builds production-grade AI features using robust LLM integration patterns, RAG architectures, and cost-efficient prompt engineering.
Creates, edits, and analyzes professional Excel spreadsheets with advanced formula support and industry-standard formatting.
Implements modern R programming patterns focusing on tidyverse efficiency, metaprogramming, and performance-optimized package development.
Parses and manages Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and handle complex metadata.
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and multi-scenario investment projections.
Analyzes single-cell RNA-seq data using Python for quality control, clustering, and cell type annotation.
Implements ultra-fast semantic vector search and HNSW indexing for high-performance RAG systems and intelligent document retrieval.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Integrates Claude with the DNAnexus cloud genomics platform to develop bioinformatics apps, manage sequencing data, and orchestrate analysis workflows.
Automates complex biomedical research tasks including genomics analysis, drug discovery, and CRISPR screening using integrated data and code execution.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Simplifies the design and analysis of complex control systems using the C11-based ctrlsys library.
Analyzes complex optimization problems using evolutionary landscape metaphors to identify local traps and global optima.
Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.
Implements and optimizes reinforcement learning workflows using the Stable Baselines3 PyTorch library.
Refactors trading system logic to transform rigid trade rejections into intelligent, constraint-based position sizing.
Quantifies uncertainty in estimates by generating plausible ranges to enable more reliable data-driven decision making.
Searches the arXiv preprint repository for the latest scholarly articles in computer science, physics, mathematics, and quantitative biology.
Analyzes and designs self-sustaining systems through the lens of collective catalysis and network closure.
Refines probability estimates and decision-making by systematically updating beliefs as new data or evidence emerges.
Integrates high-performance inference and LoRA fine-tuning for 100+ open-source LLMs via OpenAI-compatible APIs and the firectl CLI.
Implements high-throughput machine learning inference patterns for processing large-scale datasets on a scheduled basis.
Identifies and manages risks in fat-tailed distributions where extreme events occur more frequently than standard models predict.
Adjusts and optimizes aggregated probability forecasts to compensate for crowd conservatism and improve predictive accuracy.
Architects autonomous AI agent systems using structured reasoning patterns, memory management, and resilient tool integration.
Quantifies the accuracy of probabilistic predictions to improve decision-making and calibration through systematic feedback.
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