Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Develops, optimizes, and executes quantum circuits on IBM Quantum hardware and simulators using the industry-standard Qiskit framework.
Converts diverse file formats and office documents into clean, LLM-ready Markdown for improved AI processing.
Conducts systematic, multi-database literature reviews and meta-analyses with verified academic citations and professional PDF output.
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.
Verifies causal narratives between natural gas price surges and fertilizer market disruptions using automated statistical analysis.
Orchestrates complex multi-agent AI workflows using standardized coordination patterns and robust infrastructure primitives.
Orchestrates end-to-end stock trading operations by performing automated screening, multi-model AI analysis, and order execution via Alpaca.
Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
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.
Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.
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.
Builds type-safe, composable, and optimized LLM applications using the programmatic DSPy paradigm in Ruby.
Transforms raw datasets into persuasive narratives and executive-ready presentations using structured storytelling frameworks and visualization techniques.
Facilitates direct interaction with OpenAI GPT models through a command-line interface within the Claude environment.
Delegates complex tasks and analysis to Google's Gemini models directly within your Claude Code environment.
Implements high-performance embedding pipelines and vector search strategies for RAG applications.
Architects optimized quantitative research designs, experimental methodologies, and sampling strategies using an enhanced three-phase validation process.
Builds and validates psychometrically sound measurement instruments for social science research.
Automates and guides systematic qualitative data coding, theme development, and rigorous research methodology implementation.
Architects and implements sophisticated LLM applications using LangChain for agents, memory management, and complex workflows.
Builds cost-free RAG systems using parallel document processing and local vector embeddings.
Automates complex quantitative and qualitative research workflows with 5-phase methodological guidance and multi-language code generation.
Automates and manages the end-to-end 7-stage PRISMA 2020 systematic literature review pipeline from research question to RAG system.
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.
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