Data Science & ML Agent Skills

COSMIC Cancer Database

Accesses the COSMIC database to retrieve somatic mutations, cancer gene data, and mutational signatures for oncology research.

Financial Statement Analysis

Automates the calculation and interpretation of key financial ratios from corporate financial statements to streamline investment analysis.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental research studies.

Financial Statement Analysis

Calculates and interprets key financial ratios and metrics from financial data to evaluate company performance and valuation.

Math Calculator

Performs fast and precise arithmetic calculations using a dedicated Python-based evaluation engine.

Financial Statement Analysis

Analyzes financial statements to calculate essential performance ratios and provide investment insights for business evaluation.

ML Use Case Patterns

Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.

Vector Index Optimizer

Optimizes vector search performance by tuning HNSW parameters, quantization strategies, and search infrastructure scaling.

LlamaFarm Anomaly Detection

Detects outliers and anomalies in datasets using over 12 machine learning backends and automated training workflows.

LlamaFarm Project Scaffolding

Scaffolds production-ready RAG and document processing projects from curated LlamaFarm templates.

Embedding Strategies

Select and optimize embedding models and chunking strategies for RAG, semantic search, and domain-specific vector applications.

Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators to ensure robust capital preservation and institutional-grade risk management.

Vector Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for RAG and semantic retrieval systems.

LangChain Architecture Pro

Designs and implements sophisticated LLM applications using LangChain's agents, memory systems, and modular chain patterns.

Backtesting Frameworks for Trading

Builds robust, production-grade backtesting systems for trading strategies while mitigating common pitfalls like look-ahead and survivorship bias.

Hybrid Search Implementation

Implements advanced hybrid search architectures combining vector similarity and keyword matching for superior information retrieval.

W&B Plotter

Downloads Weights & Biases plots and generates comprehensive metric charts from experiment runs.

Weights & Biases Plotting

Downloads and generates high-quality metric visualizations from Weights & Biases experiment runs directly within Claude.

Advanced Prompt Engineering

Optimizes and orchestrates advanced prompt engineering workflows for Claude 4.5 using industry-best patterns, guardrails, and context management.

Methodological Rules for Qualitative Research

Implements rigorous methodological guardrails and analytical workflows for AI-assisted qualitative research projects.

Markdown to Jupyter Converter

Converts Markdown files into interactive Jupyter Notebooks by intelligently splitting sections and extracting code blocks.

AgentDB Learning Plugins

Equips Claude with nine reinforcement learning algorithms to build self-learning agents that optimize behavior through experience and training.

AgentDB Memory Patterns

Implements high-performance persistent memory and reinforcement learning patterns for stateful AI agents.

ReasoningBank Intelligence

Implements an adaptive learning system that enables AI agents to recognize patterns and optimize task strategies through continuous experience.

AgentDB Vector Search

Implement ultra-fast semantic vector search and intelligent document retrieval for RAG systems using AgentDB's high-performance HNSW indexing.

AgentDB Reinforcement Learning

Equips AI agents with nine reinforcement learning algorithms to optimize decision-making and behavior through experience.

AgentDB Vector Search

Implements ultra-fast semantic vector search for RAG systems and intelligent document retrieval using AgentDB.

ReasoningBank Intelligence

Equips AI agents with adaptive learning and pattern recognition capabilities to optimize strategies based on historical performance.

ReasoningBank Adaptive Learning

Implements high-performance adaptive learning and memory distillation for AI agents using AgentDB’s ultra-fast vector database.

AgentDB Memory Patterns

Implements high-performance persistent memory and learning patterns for stateful AI agents using AgentDB.