Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Automatically fixes malformed or incomplete JSON strings generated by AI models to ensure reliable data parsing.
Performs professional financial stock analysis using technical indicators, automated chart generation, and news sentiment tracking.
Automates the discovery and summarization of relevant arXiv research papers based on specific interests in physics and machine learning.
Orchestrates end-to-end stock trading operations by performing automated screening, multi-model AI analysis, and order execution via Alpaca.
Implements adaptive learning and meta-cognitive capabilities to help AI agents optimize strategies through experience and pattern recognition.
Provides R-based statistical methods and best practices for clinical trial design, analysis, and regulatory reporting.
Implements efficient similarity search and vector database patterns for semantic retrieval and RAG systems.
Instantiates sophisticated multi-agent architectures to handle complex reasoning, research, and implementation tasks.
Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.
Integrates multiple LLM providers like Anthropic, OpenAI, and Google Gemini into applications using advanced orchestration and reasoning patterns.
Implements high-performance hybrid search by combining vector similarity with keyword-based retrieval for RAG and search applications.
Implement industry-standard prompt engineering techniques to improve LLM accuracy, reliability, and structured output handling.
Transforms raw datasets into persuasive narratives and executive-ready presentations using structured storytelling frameworks and visualization techniques.
Implements high-performance embedding pipelines and vector search strategies for RAG applications.
Calculates comprehensive portfolio risk metrics including VaR, CVaR, and risk-adjusted return ratios for quantitative trading strategies.
Builds robust, production-grade backtesting systems for trading strategies with specialized handling for look-ahead bias and transaction costs.
Optimizes Apache Spark jobs using advanced partitioning, memory management, and shuffle tuning patterns.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and scaling configurations for high-efficiency similarity search.
Implements high-performance semantic vector search and intelligent document retrieval for RAG-based Claude Code workflows.
Implement and automate comprehensive evaluation strategies for Large Language Model applications using metrics, human feedback, and LLM-as-judge patterns.
Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agentic workflows and state management.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through production model deployment.
Automates the creation, editing, and analysis of complex Excel spreadsheets with support for dynamic formulas and financial modeling standards.
Automates professional spreadsheet creation, financial modeling, and data analysis with dynamic formulas and industry-standard formatting.
Manages persistent AI agent memory and reasoning patterns using high-performance vector storage and learning algorithms.
Provides comprehensive spreadsheet creation, financial modeling, and data analysis with strict formula preservation and industry-standard formatting.
Evaluates the rigor of scientific research by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks.
Evaluates scholarly research papers and academic work using the systematic ScholarEval framework to provide structured feedback and quality scores.
Optimizes local LLM orchestration and GPU performance for Ollama-integrated AI environments.
Diagnose and mitigate performance loss in agentic systems caused by large, conflicting, or poisoned context windows.
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