data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Accelerates data manipulation and analysis using the high-performance Polars DataFrame library and expression-based API.
Analyzes and processes genomic interval data using high-performance Rust-based tools and Python bindings.
Architects production-grade Retrieval-Augmented Generation (RAG) systems and vector search infrastructures for knowledge-grounded AI applications.
Compares vLLM requirements and Dockerfiles across versions to identify dependency changes and build configuration shifts.
Streamlines the editing, querying, and management of scientific ontologies in the Open Biomedical Ontologies (OBO) format.
Enables complex ontology querying, mapping, and visualization using the Ontology Access Kit (OAK) library.
Migrates custom Mojo data type implementations to native built-in dtypes for improved performance and code maintainability.
Applies Dead Simple Ontology Design Patterns to ensure consistency in term creation, naming conventions, and logical definitions.
Audits and evaluates AI agent codebases for compliance with the 12-Factor Agents methodology to ensure production-grade reliability.
Guides architectural decisions for complex AI agent systems including subagent delegation, persistence strategies, and custom middleware.
Provides expert guidance on architectural patterns, state management, and multi-agent coordination for LangGraph applications.
Integrates and manages diverse LLM providers in PydanticAI with support for fallback models, streaming, and usage tracking.
Simplifies the process of editing, querying, and managing OBO format ontologies through specialized scripts and standardized curation workflows.
Simplifies the registration and implementation of PydanticAI tools with automated context handling and type-safe function calling.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Parses and converts complex documents like PDFs, Word, and PowerPoint into structured, layout-aware data for AI and RAG pipelines.
Automates complex PDF workflows including form filling, table extraction, OCR, and batch operations with production-grade validation.
Validates agent YAML configurations and frontmatter to ensure compliance with ML Odyssey requirements.
Identifies performance bottlenecks and recommends optimization strategies to improve execution speed and resource efficiency.
Optimizes Mojo tensor and array operations by implementing parallel computation through SIMD vectorization patterns.
Identifies vectorization opportunities in Mojo code to maximize hardware performance using SIMD instructions.
Identifies and fixes common implementation errors and architectural pitfalls when building PydanticAI agents.
Streamlines the development of AI-powered chat interfaces with streaming, tool calling, and multi-step reasoning patterns.
Implements structured dependency injection for PydanticAI agents to manage database connections, API clients, and external resources.
Converts research papers from arXiv URLs or PDF files into functional, executable code through a structured multi-stage pipeline.
Implements stateful agent graphs and multi-actor workflows using the LangGraph framework.
Generates custom high-fidelity AI music and soundtracks via the ElevenLabs Music API using text prompts or structured compositions.
Ensures consistency in ontology term creation by applying Dead Simple Ontology Design Patterns (DOSDP) for standardized naming, definitions, and logical axioms.
Provides advanced capabilities for querying, visualizing, and manipulating complex ontologies through the Ontology Access Kit (OAK).
Provides comprehensive guidance and code patterns for PyAV, the high-performance Pythonic bindings for FFmpeg media libraries.
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