Data Science & ML Claudeスキル

ENA Bioinformatics & Genomics Data

Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive (ENA) via REST APIs and FTP.

ML Feature Stores

Architects and implements robust ML feature stores using Feast, Great Expectations, and DVC for production-grade machine learning pipelines.

Multi-Agent Systems Builder

Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.

AI & LLM Integration

Builds production-ready AI applications including RAG systems, vector search, and multi-provider LLM orchestrations.

LLM Integration & Chat Completions

Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.

Functional Introspection Principle

Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.

Text Sentiment Analysis

Analyzes and classifies the emotional tone of text data into positive, negative, or neutral categories for rapid opinion mining.

Memory Visualization Engine

Generates dynamic knowledge graphs, system architecture diagrams, and memory timelines to visualize complex AI states.

Value Pluralism Resolver

Resolves conflicts between competing ethical and technical values through a structured pluralistic analysis framework.

Kymera Voice Memory

Integrates long-term memory capabilities into the Kymera Voice assistant using World Weaver for context-aware interactions.

High-Concentration Trading Risk Manager

Implements a rigorous risk management framework for high-conviction, 95% concentrated position trading.

Kymera Strategy Integrator

Synchronizes portfolio management and mean-reversion trading systems to ensure unified capital allocation and strategy alignment.

Portfolio Forecasting Agent

Generates advanced financial projections, Monte Carlo simulations, and tax-optimized strategies for active trading portfolios.

Paper Reviewer

Conducts comprehensive pre-submission reviews for journal manuscripts, orchestrating statistical validation, bias detection, and compliance checks.

AI Prompt Optimizer

Refines and compresses LLM prompts to minimize token usage and maximize response quality.

Constraint Satisfaction Solver

Solves complex logic puzzles and scheduling problems using Peter Norvig's propagate-then-search algorithmic pattern.

Counter Frequency Patterns

Implements efficient counting and frequency analysis patterns using Python's collections.Counter for data processing and distribution analysis.

Python Data Grouping Patterns

Optimizes Python data structures using defaultdict for efficient grouping, adjacency lists, and nested dictionary management.

Side-by-Side Comparison Patterns

Visualizes code changes, algorithm results, and data states by displaying multiple outputs in parallel columns.

ML Model Deployment

Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.

Priority Queue Implementation Patterns

Implements high-performance priority queues for pathfinding, scheduling, and stream processing using efficient heap-based structures.

Vercel AI SDK Assistant

Simplifies the development of AI-powered features and autonomous agents using the Vercel AI SDK.

Clustering & Pattern Discovery

Discover hidden structures and anomalies in unlabeled data using advanced unsupervised learning algorithms and dimensionality reduction.

Local Search Optimizer

Solves NP-hard optimization problems using greedy construction and iterative local improvement patterns.

Propagate-Then-Search Logic Pattern

Optimizes constraint satisfaction problem-solving by eliminating impossibilities through inference before initiating recursive search operations.

Local LLM Management

Manages local Ollama LLM models for development, testing, and VRAM optimization within Claude Code workflows.

Stable Matching & Gale-Shapley

Implements the Gale-Shapley algorithm to solve stable matching problems for two-sided markets like residency and admissions.

Iterate with Itertools

Implements memory-efficient combinatorial iteration patterns in Python using the itertools library.

OpenAlgo Market Data

Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.

Python Comprehension Chain Patterns

Implements elegant, idiomatic data transformations using Pythonic list, dictionary, and set comprehensions inspired by Peter Norvig.