Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Master the core principles of AI context management to optimize agent performance and token efficiency.
Optimizes LLM context windows through strategic compaction, observation masking, and partitioning to reduce token costs and improve agent performance.
Guides the end-to-end development of LLM-powered applications, from task evaluation and pipeline design to cost estimation and agent architecture.
Designs and implements robust multi-agent systems using supervisor, swarm, and hierarchical patterns to optimize context management and reasoning.
Implements production-grade LLM-as-a-judge patterns to evaluate model outputs using structured rubrics, bias mitigation, and pairwise comparison techniques.
Optimizes AI agent performance and token usage by implementing advanced context summarization and management strategies for long-running sessions.
Transforms external RDF context into agent mental states to enable cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.
Implements sophisticated multi-layer memory architectures for AI agents to persist state, track entities, and maintain temporal knowledge across sessions.
Diagnoses and mitigates performance failures in agentic systems caused by large context windows, attention loss, and information noise.
Captures and organizes multi-agent programming design patterns to build a searchable architectural knowledge base.
Implements advanced multi-agent design patterns for building robust LLM applications with the Langroid framework.
Facilitates the development, debugging, and maintenance of React-based notebook interfaces within the Positron IDE.
Conducts precise academic and scientific research paper searches using Exa's advanced filtering and neural search capabilities.
Orchestrates parallel scientist agents to perform deep, multi-stage research and synthesis within codebases and documentation.
Reads, manipulates, and writes genomic datasets including BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Implements professional machine learning workflows in Python including classification, regression, clustering, and data preprocessing.
Queries the Open Targets Platform to identify therapeutic drug targets and analyze disease-target associations using human genetics and omics data.
Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING API.
Evaluates research papers and scholarly work using the ScholarEval framework to provide structured quality assessments and actionable feedback.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Accesses the ZINC database of 230M+ purchasable compounds for virtual screening, drug discovery, and molecular docking studies.
Develops, optimizes, and executes quantum circuits and algorithms across various hardware backends using the Qiskit framework.
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
Simulates and analyzes closed and open quantum systems using the Quantum Toolbox in Python (QuTiP).
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and trajectory inference using the Scanpy framework.
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
Accesses the Human Metabolome Database to retrieve chemical, clinical, and spectroscopic data for over 220,000 metabolites.
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