Explorar Todas las Habilidades de Claude

Benchling R&D Integration

Automates life sciences research workflows by integrating Benchling's registry, inventory, and electronic lab notebook via Python SDK and REST API.

GWAS Catalog Database

Queries the NHGRI-EBI GWAS Catalog for SNP-trait associations, genetic variants, and summary statistics to support genomic research.

TimesFM Forecasting

Performs zero-shot time series forecasting using Google’s TimesFM foundation model to predict trends across sales, sensors, and financial data without custom training.

Denario Research Automator

Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.

STRING Protein Interaction Database

Queries the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology.

ETE Toolkit Phylogenetic Analysis

Analyzes and visualizes phylogenetic and hierarchical trees with advanced support for evolutionary events and NCBI taxonomy integration.

Security Review

Performs comprehensive security audits and implements defense-in-depth patterns for authentication, data handling, and API development.

Arboreto GRN Inference

Infers gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.

Universal Full-Stack Coding Standards

Enforces best practices and consistent coding patterns for TypeScript, JavaScript, React, and Node.js development.

Protocols.io Integration

Manages scientific protocols through the protocols.io API for discovery, collaborative development, and experiment tracking.

Performance Optimization

Identifies bottlenecks, profiles code, and implements high-impact optimizations to enhance application speed and efficiency.

gget Bioinformatics Assistant

Queries over 20 genomic databases for sequence analysis, protein structures, and gene metadata through a unified interface.

Playwright E2E Testing

Provides comprehensive Playwright patterns and configurations for building stable, maintainable end-to-end testing suites.

Stable Baselines3 RL

Simplifies reinforcement learning workflows with production-ready PyTorch implementations of standard algorithms like PPO, SAC, and DQN.

Vaex Large Data Processing

Processes and analyzes massive tabular datasets exceeding available RAM using out-of-core DataFrame operations and lazy evaluation.

BindingDB Drug-Target Database

Accesses and analyzes over 3 million drug-protein binding affinity records for drug discovery and pharmacological research.

Scientific Schematics

Generates publication-ready scientific diagrams and architectures through AI-powered iterative refinement and quality scoring.

Real User Monitoring (RUM) Implementation

Implements Real User Monitoring (RUM) to track Core Web Vitals and actual user performance data across web applications.

Citation Management & Academic Research

Automates the discovery, extraction, and formatting of academic citations from Google Scholar, PubMed, and CrossRef into validated BibTeX entries.

SymPy Symbolic Math

Performs exact symbolic computation in Python for algebra, calculus, and advanced mathematical modeling.

RDKit Cheminformatics

Facilitates advanced molecular manipulation, chemical property calculation, and 3D coordinate generation for drug discovery.

Skill Creator

Automates the creation, optimization, and evaluation of standardized Claude Code skills while enforcing architectural best practices.

Geniml Genomic Machine Learning

Builds machine learning models and unsupervised embeddings from genomic interval data and BED files.

K-Dense Research Workflow Bridge

Connects Claude to the K-Dense Web platform for advanced multi-agent scientific research and complex end-to-end workflows.

Scientific Resource Detector

Analyzes system hardware to provide optimized strategy recommendations for high-performance scientific computing and data processing tasks.

Professional Infographics Generator

Generates publication-quality infographics using a multi-model AI pipeline for automated research, visual design, and iterative quality review.

PennyLane Quantum Machine Learning

Develops and trains quantum machine learning models with hardware-agnostic automatic differentiation and hybrid framework integration.

Code Review Reception

Enforces technical rigor and verification when processing code review feedback to ensure architectural integrity over performative agreement.

Eval Harness & EDD Framework

Implements eval-driven development principles to benchmark agent reliability and ensure high-quality task completion.

FDA Database Access

Interfaces with the openFDA API to analyze regulatory data for drugs, medical devices, food safety, and substances.