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。
Optimizes vector index performance to achieve the ideal balance between search latency, recall accuracy, and memory consumption.
Accesses specific LLM models directly and manages dissent testing to eliminate reasoning blind spots without full consensus overhead.
Standardizes the creation and management of BayesFlow extension packages with precise export handling and CI configuration.
Validates and diagnostics neural posterior estimators using simulation-based calibration and coverage analysis.
Streamlines the creation of data preprocessing pipelines for Simulation-Based Inference using BayesFlow.
Configures and verifies the 3-Surgeons multi-model consensus system by detecting local backends and managing API providers.
Automates the creation of company-specific data analysis skills by capturing tribal knowledge and schema context from analysts.
Facilitates the implementation of high-speed LLM calls using Cerebras inference via LiteLLM and OpenRouter.
Enables high-quality text and image generation using a reverse-engineered Gemini Web API interface.
Optimizes LLM context windows through compaction, masking, and caching strategies to maximize performance and minimize token costs.
Automates Apipie AI operations and workflows through Rube MCP and Composio toolkits.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex tool integration.
Automates Mistral AI model operations including chat completions, vector embeddings, and fine-tuning via the Rube MCP ecosystem.
Generates customized Jupyter notebook practice challenges for Python algorithms and pandas data manipulation.
Implements a secure, multi-provider AI management interface for Next.js applications to enable user-managed API keys.
Automates the ingestion, visual analysis, and semantic tagging of photo and video assets into a searchable SQLite database.
Routes prompts to any LLM provider and model while leveraging real-time benchmark data for optimal selection.
Integrates the Replicate API for seamless deployment and execution of generative AI models like Flux, SDXL, and custom LoRA weights.
Implements Retrieval-Augmented Generation (RAG) systems to ground LLM responses in external knowledge bases and private documents.
Implements efficient semantic search and vector database patterns for RAG and recommendation systems.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.
Automates the creation, editing, and professional analysis of spreadsheets using Python-based tools while preserving complex formulas and layouts.
Transcribes audio and video files into text or structured JSON with advanced speaker diarization and voice identification.
Calculates TAM, SAM, and SOM using professional methodologies to quantify market opportunities for startups and new business ventures.
Provides standardized configuration patterns for Gemini models, Codex environments, and Model Context Protocol (MCP) servers.
Architects sophisticated LLM applications using LangChain's framework for agents, memory management, and complex tool integration.
Implements advanced search architectures by combining vector similarity and keyword-based retrieval for improved RAG system recall.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Transforms raw business data into compelling narratives and persuasive executive presentations using proven storytelling frameworks.
Architects and implements production-grade LLM applications, RAG pipelines, and intelligent agent orchestrations.
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