Data Science & ML Habilidades de Claude

RAG Semantic Auditor

Diagnoses semantic collapse and optimizes RAG architectures using hierarchical taxonomies and Graph-RAG schemas.

Deep Learning Scholar

Automates the collection of authoritative deep learning resources and generates structured, multi-stage learning paths with interactive HTML guides.

CSV Data Summarizer

Analyzes CSV files automatically to generate comprehensive statistical summaries and tailored visualizations using Python and pandas.

D3.js Data Visualization

Builds sophisticated, interactive, and data-driven visualizations using the D3.js library for custom charts and complex diagrams.

Excel Automation and Financial Modeling

Automates professional spreadsheet creation, complex financial modeling, and advanced data analysis within Claude Code.

ESS-DIVE DeepDive Explorer

Queries the ESS-DeepDive fusion database to retrieve field-level metadata and dataset file information for environmental science research.

Vercel AI SDK Assistant

Builds and implements advanced AI-powered features using the latest Vercel AI SDK patterns and documentation.

ESS-DIVE Data Explorer

Searches, retrieves, and parses environmental science datasets from the Department of Energy's ESS-DIVE repository.

ESS-DIVE Identifier Toolkit

Facilitates seamless conversion between ESS-DIVE dataset identifiers and DOIs while providing geographic visualization tools.

Prompt Analyzer & Insights

Analyzes generated prompts to provide deep insights into element usage, quality comparisons, and style-based recommendations.

Lattice Spatial-Collective

Implements a decentralized context-sharing protocol for multi-agent systems using cryptographic sharding and Byzantine fault tolerance.

Agent Creator

Architects specialized, production-ready AI agents using a rigorous 4-phase methodology and evidence-based prompting techniques.

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.

Python Data Grouping Patterns

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

Vercel AI SDK Assistant

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

Graceful Failure Coding Pattern

Implements the Norvig pattern of returning sentinel values instead of exceptions for natural algorithmic failures.

State-Driven Class Patterns

Encapsulates complex state management into robust class structures to handle transitions, backtracking, and algorithmic branching.

CareerCopilot Agent Scaffolder

Automates the creation of standardized Python-based AI agents for autonomous career-focused tasks.

Stable Matching & Gale-Shapley

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

Frontier-Based Graph Exploration

Implements flexible graph and tree traversal patterns with configurable DFS, BFS, and randomized exploration strategies.

Local Search Optimizer

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

Implement Paper From Scratch

Guides the step-by-step implementation of research papers from scratch to ensure deep understanding and technical reproducibility.

Local LLM Management

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

Propagate-Then-Search Logic Pattern

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

Side-by-Side Comparison Patterns

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

Python Memoization Patterns

Optimizes Python functions by implementing memoization and dynamic programming patterns to eliminate redundant recursive computations.

Iterate with Itertools

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

Python Operator Overloading DSL

Enables the creation of expressive domain-specific languages in Python by overloading arithmetic and logical operators.

Python Comprehension Chain Patterns

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