Data Science & ML Agent Skills

LangGraph Functional API

Builds complex AI workflows using decorator-based patterns for parallel execution, persistence, and human-in-the-loop interactions.

LLM Function Calling & Tool Use

Implements production-ready tool-use patterns and structured output schemas for LLMs using the latest industry standards.

Query Decomposition

Decomposes complex multi-concept queries into independent searchable terms to optimize retrieval accuracy and coverage in RAG pipelines.

Semantic Caching for LLMs

Optimizes LLM performance and reduces API costs by implementing Redis-powered semantic similarity caching.

LangGraph Checkpointing & Persistence

Implements fault-tolerant AI workflows with robust state persistence and recovery for LangGraph applications.

Golden Dataset Management

Protects and maintains high-quality test datasets for AI/ML systems through automated backup, restoration, and integrity validation.

Agentic Workflow Loops

Implements autonomous reasoning patterns and agentic workflows for multi-step LLM task execution and self-correction.

Contextual Retrieval for RAG

Implements Anthropic's Contextual Retrieval technique to reduce retrieval failures in RAG pipelines through contextualized chunking and hybrid search.

LLM Output Evaluation

Evaluates AI-generated content quality using LLM-as-judge patterns, RAGAS metrics, and automated hallucination detection.

Market Scenario Modeler

Builds sophisticated TAM/SAM/SOM models and financial scenarios to forecast market potential and stress-test revenue assumptions.

FEC Filing Analysis

Analyzes Federal Election Commission campaign finance filings and reports directly within the Claude environment.

FLUX Image Generation Best Practices

Optimizes image generation workflows using Black Forest Labs FLUX models through expert prompting and API integration patterns.

Black Forest Labs FLUX API

Integrates Black Forest Labs' FLUX image generation models into applications with professional API patterns and implementation guides.

AI Consultant

Facilitates multi-model AI consultations, parallel multi-agent research, and structured peer-reviewed deliberation to provide diverse expert perspectives.

Paper Review Helper

Streamlines scientific peer review by conducting structured section-by-section analysis and generating formal review responses.

RAG Architect

Designs and optimizes production-grade Retrieval-Augmented Generation (RAG) systems and vector search architectures.

AI Prompt Engineer

Optimizes prompt strategies and context inference to transform natural language into precise, platform-aware POSIX commands with minimal user input.

Science Vision

Analyzes and extracts precise information from scientific figures, plots, and experimental setups.

Gemini CLI Integration

Leverages Google's Gemini AI models to perform complex reasoning and advanced code analysis within the Claude Code workflow.

Excel & Spreadsheet Mastery

Automates comprehensive spreadsheet creation, financial modeling, and data analysis while ensuring zero formula errors and industry-standard formatting.

Ask Gemini

Integrates the Gemini CLI to provide alternative AI perspectives, multi-model code generation, and automated debugging assistance.

Streamlit Development

Builds, tests, and deploys interactive data applications using Streamlit with a focus on Snowflake integration and production-grade best practices.

LangChain Agent Builder

Streamlines the development of AI agents and LLM applications using the LangChain 1.0 framework and LangGraph.

Crypto Sentiment Agent

Builds sophisticated crypto market sentiment bots and trading signal agents using the Fear & Greed Index with integrated x402 micropayments.

Caro Prompt Tuner

Optimizes embedded LLM system prompts through iterative failure analysis and performance evaluation.

AI MLOps and Security

Streamlines the production machine learning lifecycle with automated data ingestion, secure deployment patterns, and real-time drift detection.

AI RAG & Search Engineering

Builds production-grade retrieval systems using modern hybrid search patterns, advanced chunking strategies, and rigorous evaluation frameworks.

AI LLM Development & Engineering

Guides the full lifecycle of large language model systems from architecture selection and dataset design to production deployment and monitoring.

MATLAB Digital Filter Design

Designs, implements, and validates high-performance digital filters in MATLAB for signal processing and DSP applications.

MATLAB Performance Optimizer

Accelerates MATLAB code through advanced vectorization, memory management, and automated profiling techniques.