data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Transcribes audio and video files into structured text and timestamped segments using the OpenAI Whisper API.
Implements a complete Retrieval-Augmented Generation (RAG) chat interface with vector search and document citations.
Integrates a vector embedding layer into Next.js applications using pgvector and AI Gateway for high-performance semantic search and retrieval.
Builds a full-featured Retrieval-Augmented Generation interface with PDF processing, chat, and citation-linked document viewing.
Configures a unified AI Gateway layer to manage and switch between 200+ large language models through a single interface.
Renders PDF documents in React applications with specialized support for highlighting AI-generated RAG search results.
Integrates multi-provider AI image generation capabilities into Next.js applications using Replicate and fal.ai.
Automates the ingestion of external REST API data into a RAG-powered vector database for enhanced AI context.
Orchestrates specialized AI sub-agents to solve complex engineering problems through parallel task delegation.
Systematically designs and optimizes Claude prompts using a multi-level methodology for maximum effectiveness and cost efficiency.
Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.
Designs and implements sophisticated multi-agent workflows using modular orchestration patterns, hierarchical delegation, and deterministic tool coordination.
Integrates multi-provider AI video generation capabilities into Next.js applications using Replicate and fal.ai.
Drafts publication-ready sociology Results sections by integrating quantitative and qualitative evidence using structures from top-tier academic journals.
Integrates Google's Gemini API suite into Claude Code for multimodal analysis, image generation, and real-time search grounding.
Delegates high-context tasks and complex vision analysis from Claude to Gemini for optimized multi-model development workflows.
Generates high-performance text embeddings via the Google Gemini API for semantic search, RAG, and data classification tasks.
Provides a persistent cognitive architecture for AI agents to maintain long-term memory, context, and identity across multiple sessions.
Conducts systematic computational text analysis for sociology research using R or Python with a focus on validation and reproducibility.
Conducts rigorous, publication-ready statistical analysis in Stata for sociology and social science research.
Conducts publication-ready quantitative sociological research using phased R workflows and rigorous econometric methods.
Powers semantic search and contextual retrieval across local libraries of academic papers and markdown documents.
Orchestrates external AI models like Grok, Gemini, and GPT-5 within Claude Code using deterministic Bash commands and the claudish CLI.
Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.
Transcribes audio and video files using OpenAI Whisper with support for multiple formats, speaker diarization, and timing synchronization.
Optimizes and designs high-performance LLM prompts using advanced techniques like chain-of-thought and few-shot learning.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search infrastructure.
Optimizes machine learning ensembles by analyzing and enhancing model diversity across different algorithmic families and feature sets.
Automates financial budget-vs-actual variance analysis with professional reporting, automated commentary, and executive summaries.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
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