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。
Integrates Black Forest Labs' FLUX image generation models into applications with professional API patterns and implementation guides.
Optimizes image generation workflows using Black Forest Labs FLUX models through expert prompting and API integration patterns.
Optimizes prompt strategies and context inference to transform natural language into precise, platform-aware POSIX commands with minimal user input.
Analyzes and extracts precise information from scientific figures, plots, and experimental setups.
Streamlines scientific peer review by conducting structured section-by-section analysis and generating formal review responses.
Designs and optimizes production-grade Retrieval-Augmented Generation (RAG) systems and vector search architectures.
Automates comprehensive spreadsheet creation, financial modeling, and data analysis while ensuring zero formula errors and industry-standard formatting.
Leverages Google's Gemini AI models to perform complex reasoning and advanced code analysis within the Claude Code workflow.
Optimizes embedded LLM system prompts through iterative failure analysis and performance evaluation.
Integrates the Gemini CLI to provide alternative AI perspectives, multi-model code generation, and automated debugging assistance.
Builds, tests, and deploys interactive data applications using Streamlit with a focus on Snowflake integration and production-grade best practices.
Streamlines the development of AI agents and LLM applications using the LangChain 1.0 framework and LangGraph.
Builds sophisticated crypto market sentiment bots and trading signal agents using the Fear & Greed Index with integrated x402 micropayments.
Builds production-grade retrieval systems using modern hybrid search patterns, advanced chunking strategies, and rigorous evaluation frameworks.
Guides the full lifecycle of large language model systems from architecture selection and dataset design to production deployment and monitoring.
Streamlines the production machine learning lifecycle with automated data ingestion, secure deployment patterns, and real-time drift detection.
Designs, implements, and validates high-performance digital filters in MATLAB for signal processing and DSP applications.
Accelerates MATLAB code through advanced vectorization, memory management, and automated profiling techniques.
Builds interactive web applications by bridging HTML/JavaScript interfaces with MATLAB computational backends using the uihtml component.
Implements advanced recommendation systems using collaborative filtering, matrix factorization, and hybrid algorithms for personalized user experiences.
Build, deploy, and manage production-ready conversational AI voice agents with low-latency ASR, TTS, and turn-taking models.
Integrates Google Gemini's managed RAG capabilities to provide high-performance document Q&A and knowledge base search across 100+ file formats.
Deploys machine learning models into production using FastAPI, Docker, and Kubernetes while ensuring robust monitoring and drift detection.
Trains production-ready machine learning models using industry-standard frameworks like scikit-learn, PyTorch, and TensorFlow.
Integrates the 2025 Google Gemini 2.5 API using the modern @google/genai SDK for multimodal reasoning and long-context AI workflows.
Implements Vercel AI SDK v5 for robust server-side AI tasks, including text generation, structured data, and agentic tool calling across multiple providers.
Builds type-safe, provider-agnostic AI chat interfaces and agentic workflows using TanStack AI's streaming and tool-calling capabilities.
Builds multi-agent workflows, realtime voice applications, and structured AI integrations using the OpenAI Agents SDK.
Implements Google Gemini embeddings API for high-performance RAG and semantic search applications.
Creates, manages, and debugs AILANG evaluation benchmarks to ensure high-fidelity AI reasoning and syntax performance.
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