data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manages and analyzes microscopy data through the OMERO Python API for scientific imaging and high-content screening workflows.
Builds production-grade AI features using robust LLM integration patterns, RAG architectures, and cost-efficient prompt engineering.
Creates, edits, and analyzes professional Excel spreadsheets with advanced formula support and industry-standard formatting.
Generates high-resolution 4K images, renders precise text, and performs conversational image editing using the Gemini 3 Pro Image model.
Simulates high-performance computational fluid dynamics using pseudospectral methods and optimized Python solvers.
Streamlines the development, deployment, and management of serverless bioinformatics workflows on the LatchBio platform.
Generates and customizes professional-grade static, animated, and interactive visualizations using Python's foundational plotting library.
Performs real-time sentiment analysis on Twitter/X content using Grok's native integration and natural language processing.
Accesses and analyzes data from over 20 genomic and proteomic databases through a unified interface.
Accesses comprehensive financial market data including stocks, forex, cryptocurrency, and technical indicators for automated analysis.
Enables autonomous tool calling for Grok models including X search, web search, and Python code execution.
Implements advanced Gemini 3 Pro capabilities including function calling, structured outputs, and context caching for production-grade AI applications.
Adapts Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.
Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Integrates Google Gemini's multimodal reasoning and automated CLI tools into Claude Code for advanced AI collaboration and research.
Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.
Simplifies gene data retrieval and annotation by querying the NCBI Gene database via E-utilities and Datasets APIs.
Integrates persistent episodic and short-term memory into Amazon Bedrock agents to maintain user context and learn from interactions across sessions.
Manages persistent cross-session memory for autonomous coding tasks using Graphiti integration.
Persists knowledge and learned patterns across autonomous coding sessions using Graphiti-based memory management.
Integrates Google’s Gemini AI capabilities into Claude Code for multimodal tasks, advanced code analysis, and automated tool execution.
Deploys production-grade machine learning models and establishes robust MLOps pipelines with LLM and RAG integration.
Builds type-safe, composable, and optimized LLM applications using the programmatic DSPy paradigm in Ruby.
Designs, optimizes, and evaluates high-performance prompts to ensure LLM-powered applications deliver consistent and accurate outputs.
Implements adaptive learning and meta-cognitive capabilities to help AI agents optimize strategies through experience and pattern recognition.
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