Data Science & ML Agent Skills
Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
PyTorch Docstring Formatter
Generates and formats standardized PyTorch docstrings following Sphinx and reStructuredText conventions.
Financial Modeling Suite
Constructs advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for professional investment valuation.
Startup Financial Modeling
Builds comprehensive 3-5 year financial models with revenue projections, burn rate calculations, and scenario planning for early-stage startups.
Excel & Spreadsheet Automation
Automates the creation, editing, and analysis of Excel spreadsheets with professional formatting, formula integrity, and financial modeling standards.
Apache Spark Optimization
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle tuning strategies.
Embedding Strategies for RAG
Optimizes embedding model selection and chunking strategies for semantic search and Retrieval-Augmented Generation (RAG) applications.
Hybrid Search Implementation
Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.
Vector Index Tuning
Optimizes vector index performance for production environments by balancing latency, recall, and memory usage.
LangChain Architecture Design
Architects sophisticated LLM applications using LangChain's modular framework for agents, memory, and complex workflows.
LLM Evaluation Framework
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and systematic benchmarking.
Prompt Engineering Patterns
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning, chain-of-thought, and modular templates.
RAG Implementation Framework
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in custom knowledge.
ML Pipeline Workflow
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.
Vector Search & Similarity Patterns
Implements efficient similarity search and vector database patterns for semantic retrieval and RAG systems.
Trading Backtesting Frameworks
Builds robust, bias-aware backtesting systems to validate quantitative trading strategies and produce reliable performance estimates.
Risk Metrics Calculation
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative finance and investment management.
Data Storytelling for Analytics
Transforms raw data and complex analytics into persuasive business narratives and structured executive presentations.
Similarity Search Patterns
Implements efficient similarity search and vector database patterns for semantic search, RAG retrieval, and recommendation engines.
ML Pipeline Workflow
Build and orchestrate production-grade MLOps pipelines from data preparation through model training, validation, and deployment.
Prompt Engineering Patterns
Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and structured prompt templates.
Backtesting Frameworks
Builds robust, production-grade backtesting systems for trading strategies while mitigating common pitfalls like look-ahead and survivorship biases.
RAG Implementation
Builds Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases, semantic search, and advanced retrieval strategies.
Embedding Strategies
Optimizes semantic search and RAG applications through intelligent model selection, chunking strategies, and embedding quality evaluation.
Hybrid Search Implementation
Implements search architectures that combine vector similarity and keyword matching to maximize retrieval precision and recall.
LangChain Architecture
Builds sophisticated LLM applications by architecting modular chains, autonomous agents, and robust memory management systems using the LangChain framework.
Spark Optimization
Optimizes Apache Spark workloads through advanced partitioning, memory management, and shuffle tuning strategies.
LLM Evaluation
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking to ensure performance and quality.
Airflow DAG Patterns
Builds production-ready Apache Airflow pipelines using industry best practices for orchestration, testing, and error handling.
Vercel AI SDK Assistant
Builds production-grade AI-powered applications, agents, and chatbots using the Vercel AI SDK for TypeScript.
LlamaIndex RAG Framework
Simplifies the creation of data-centric LLM applications by providing patterns for RAG, document ingestion, and vector indexing.
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