data science & ml向けのClaudeスキルを発見してください。71個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements high-performance adaptive learning patterns and trajectory tracking for self-learning agents using a 150x faster vector database.
Deploys and orchestrates cloud-based AI agent swarms with event-driven workflow automation and intelligent coordination.
Trains and deploys complex neural networks across distributed E2B sandbox environments using custom architectures or pre-built templates.
Implements and trains reinforcement learning algorithms to create autonomous agents that improve through experience.
Implements high-performance persistent memory systems for AI agents to enable long-term context retention and autonomous pattern learning.
Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.
Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.
Optimizes high-volume workloads by leveraging Anthropic's Message Batches API for 50% cost savings on non-time-sensitive tasks.
Implements robust document attribution and Retrieval-Augmented Generation (RAG) patterns for verifiable AI responses.
Builds production-ready Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.
Automates Oxford Nanopore sequence alignment, reference genome management, and edit distance computations for genomic data analysis.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Generates professional, data-driven presentations and technical whitepapers with robust citation management and reproducibility standards.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Performs advanced data analysis and business intelligence using specialized SQL patterns for statistical and exploratory insights.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in external data.
Integrates Google Gemini's native vision capabilities to analyze, summarize, and extract structured data from complex PDF documents.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Implements comprehensive meta-analysis workflows in R, including effect size calculation, heterogeneity assessment, and publication bias detection.
Empowers AI agents with adaptive learning and pattern recognition to optimize workflows and decision-making strategies through experience.
Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.
Enhances Claude's problem-solving capabilities using advanced search strategies like Beam Search and Monte Carlo Tree Search.
Produces comprehensive, well-sourced research reports using an iterative diffusion-based refinement methodology.
Detects narrative manipulation and propaganda patterns in text and URLs using the Narrative Credibility Index (NCI) Protocol.
Predicts age, gender, and ethnicity from person data and images to enrich datasets and customer profiles.
Accesses and analyzes ES/NQ futures market data using Databento's high-fidelity platform with a cost-optimized workflow.
Streamlines pharmacokinetic and pharmacodynamic modeling in R using industry-standard packages and best practices.
Performs comprehensive genomics and bioinformatics statistical analysis using R and Bioconductor packages.
Crafts production-ready LLM prompts, agent definitions, and system instructions optimized for Claude and GPT models.
Optimizes Claude's output quality using research-backed psychological framing and statistical pattern-matching techniques.
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