Data Science & ML Habilidades de Claude

LangGraph Implementation

Implements stateful agent graphs and multi-actor workflows using the LangGraph framework.

Code Performance Optimizer

Identifies performance bottlenecks and recommends optimization strategies to improve execution speed and resource efficiency.

Mojo SIMD Optimization

Optimizes Mojo tensor and array operations by implementing parallel computation through SIMD vectorization patterns.

Mojo SIMD Performance Analyzer

Identifies vectorization opportunities in Mojo code to maximize hardware performance using SIMD instructions.

Agent Config Validator

Validates agent YAML configurations and frontmatter to ensure compliance with ML Odyssey requirements.

OBO Ontology Editor

Streamlines the editing, querying, and management of scientific ontologies in the Open Biomedical Ontologies (OBO) format.

Ontology Access Kit (OAK)

Enables complex ontology querying, mapping, and visualization using the Ontology Access Kit (OAK) library.

DOSDP Design Patterns

Applies Dead Simple Ontology Design Patterns to ensure consistency in term creation, naming conventions, and logical definitions.

DOSDP Ontology Design Patterns

Ensures consistency in ontology term creation by applying Dead Simple Ontology Design Patterns (DOSDP) for standardized naming, definitions, and logical axioms.

Ontology Access Kit (OAK)

Provides advanced capabilities for querying, visualizing, and manipulating complex ontologies through the Ontology Access Kit (OAK).

AI Model Realignment Framework

Standardizes the end-to-end training and optimization pipeline for fine-tuning autonomous AI models.

PyAV FFmpeg Integration

Provides comprehensive guidance and code patterns for PyAV, the high-performance Pythonic bindings for FFmpeg media libraries.

AI Prompt Optimizer

Refines and enhances AI prompts using advanced engineering techniques to improve performance, reduce token costs, and ensure model-specific accuracy.

Excel & Spreadsheet Automation

Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and industry-standard financial modeling conventions.

NLP Pipeline Builder

Builds production-ready natural language processing pipelines using state-of-the-art transformer models and SpecWeave automation.

SpecWeave Data Visualizer

Automates the creation of publication-quality data visualizations and business reports for machine learning workflows.

Model Explainer

Generates human-readable interpretability reports and explainability metrics for machine learning models using SHAP, LIME, and feature importance.

ML Model Registry

Manages the complete machine learning model lifecycle through centralized versioning, staging pipelines, and automated metadata tracking within the SpecWeave framework.

Model Evaluator

Conducts comprehensive machine learning model evaluations with advanced metrics, statistical validation, and automated reporting.

AutoML Optimizer

Automates hyperparameter tuning and model selection using industry-standard frameworks like Optuna and Auto-sklearn.

ML Feature Engineer

Automates the end-to-end feature engineering process for machine learning pipelines, from data quality assessment to production-ready transformations.

ML Experiment Tracker

Manages machine learning experiment tracking and model comparison by automatically logging parameters, metrics, and artifacts to SpecWeave increments.

Computer Vision Pipeline Builder

Builds production-ready machine learning pipelines for image classification, object detection, and semantic segmentation using PyTorch or TensorFlow.

Time Series Forecaster

Builds sophisticated time-dependent predictive models using statistical methods, machine learning, and deep learning within the SpecWeave framework.

PDF Toolkit for Claude

Automates PDF document processing including text extraction, table parsing, document merging, and programmatic PDF generation.

ML Pipeline Orchestrator

Orchestrates end-to-end machine learning workflows within a disciplined, spec-driven development framework.

Anomaly & Outlier Detector

Detects unusual patterns and outliers in data using statistical methods and machine learning algorithms integrated with the SpecWeave workflow.

MLOps DAG Builder

Designs and implements production-grade DAG-based MLOps pipeline architectures using orchestrators like Airflow, Dagster, and Kubeflow.

ML Deployment Helper

Automates the transition of machine learning models into production-ready services with APIs, containerization, and monitoring.

Agent Coverage Check

Verifies complete agent system coverage across hierarchy levels, development phases, and project sections.