发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Implements Google Gemini File Search to build managed RAG systems with automatic document chunking and semantic search.
Builds robust AI applications using OpenAI's Agents SDK with multi-agent orchestration, voice capabilities, and advanced error prevention.
Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Builds and packages portable AI agents that operate across multiple LLM frameworks and deployment targets without vendor lock-in.
Implements advanced memory architectures for AI agents to maintain session continuity and manage structured entity relationships.
Implements sophisticated, multi-layered memory architectures including knowledge graphs and temporal persistence for autonomous AI agents.
Streamlines the creation, fitting, and validation of Bayesian models using PyMC's modern probabilistic programming interface.
Builds, configures, and deploys native Streamlit data applications directly within the Snowflake Data Cloud.
Implements production-grade LLM-as-a-judge patterns to evaluate model outputs with high reliability and bias mitigation.
Implements sophisticated LLM-as-judge methodologies to evaluate and compare AI model outputs with high reliability and bias mitigation.
Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.
Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.
Prevents Jupyter notebook hangs by explicitly managing CuPy GPU memory pools and Python garbage collection.
Builds type-safe, composable LLM applications in Ruby using the DSPy framework to program AI behavior instead of manual prompting.
Builds production-ready RAG systems and semantic search using optimized Gemini embedding-001 models and vector storage patterns.
Builds and optimizes Retrieval-Augmented Generation (RAG) systems using advanced vector search, semantic chunking, and retrieval patterns.
Generates high-quality images from text prompts using Google Gemini 3 Pro via the fal.ai API.
Automates IGV snapshot generation for visualizing genomic alignments and variant calls in BAM files.
Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.
Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.
Queries and annotates genomic data using the COSMIC Cancer Gene Census to identify known cancer genes and their clinical properties.
Analyzes, filters, and exports genomic variant data from VCF and BCF files for bioinformatics and sequencing workflows.
Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.
Analyzes genomic alignment files to extract reads, identify insertions and deletions, and calculate coverage statistics for WGS and WES data.
Performs high-speed local DNA sequence alignment against hg38 and CHM13 genomic references without external API dependencies.
Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.
Analyzes global investments through the lens of power structures, ethical constraints, and geopolitical alignments.
Performs NCBI BLAST sequence similarity searches using BioPython to identify homologous DNA or protein sequences.
Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.
Scroll for more results...