data science & ml向けのClaudeスキルを発見してください。61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。
Processes and analyzes whole-slide pathology images using advanced machine learning, spatial graph construction, and multiparametric imaging workflows.
Builds sophisticated, interactive data visualizations and custom SVG-based charts using the D3.js library.
Processes and generates complex multimedia content including audio, images, video, and documents using the Google Gemini API.
Streamlines the analysis of high-density neural recordings from Neuropixels probes through automated preprocessing, spike sorting, and quality curation.
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and programmatic NCBI database access.
Queries and interprets genetic variant clinical significance data from the NCBI ClinVar database.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.
Implements adaptive learning systems to enable AI agents to recognize patterns, optimize strategies, and continuously improve through experience.
Implements persistent, high-performance memory and learning patterns for AI agents to maintain context across sessions.
Provides expert guidance on implementing AI models, generating embeddings, and building Retrieval Augmented Generation (RAG) systems using Cloudflare’s serverless AI platform.
Automates tissue detection and tile extraction from whole slide images for digital pathology and machine learning workflows.
Transforms inefficient Python loops into high-performance vectorized PyTorch operations to eliminate computational bottlenecks and optimize GPU utilization.
Validates optical physics parameters for imaging simulations to ensure physically realistic instrument configurations and diffraction regimes.
Parses and generates Flow Cytometry Standard (FCS) files to facilitate cytometry data preprocessing and scientific analysis.
Automates Benchling life sciences workflows and manages biological data via the Python SDK and REST API.
Transforms oversized documents into structured, token-optimized hierarchical sections with extracted metadata to overcome context window limitations.
Transcribes audio files into text using a local whisper.cpp server with GPU acceleration.
Generates complex AI-driven video compositions and media pipelines using the Renku CLI.
Plans data science and hardware optimization experiments by analyzing historical project logs and domain-specific configurations.
Converts Excel (.xlsx) spreadsheets into clean Markdown tables for seamless data analysis and documentation.
Optimizes Python codebases using verified, low-risk patterns for I/O, NumPy operations, and efficient directory scanning.
Implements modern AI patterns including streaming responses, tool calling, and structured outputs using the Vercel AI SDK.
Implements and debugs dynamic Hidden Markov Model (HMM) regime detection for Reinforcement Learning trading observations.
Guides bioimaging optimization by advising against BaSiC caching and providing high-performance GPU-accelerated alternatives.
Enforces scientific-grade quality standards and mandatory GPU acceleration for KINTSUGI image processing pipelines.
Implements and manages Retrieval-Augmented Generation (RAG) systems using Weaviate vector databases for semantic search and document retrieval.
Provides standardized statistical analysis strategies and data exploration patterns for scientific discovery and research.
Streamlines the creation, versioning, and lifecycle management of Amazon Bedrock prompt templates with variable substitution and A/B testing.
Integrates Google's Gemini 3 Pro API and SDK into applications for advanced reasoning, streaming chat, and large-context processing.
Builds and manages autonomous AI agents on Amazon Bedrock using foundation models, action groups, and knowledge bases.
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