Data Science & ML Claude 스킬

AI Research Analyst

Conducts deep-dive information gathering and data synthesis to produce actionable strategic insights and comprehensive reports.

LLM Architect

Designs, optimizes, and deploys scalable large language model architectures and high-performance RAG systems.

Prompt Forge

Transforms vague human intent into structured, production-ready prompt artifacts through iterative clarification.

Remote Run Over SSH

Executes machine learning examples on remote GPU hosts via SSH by syncing minimal workspaces and launching Docker-based training scripts.

RLHF Alignment Guide

Provides comprehensive technical guidance on Reinforcement Learning from Human Feedback for aligning large language models with human preferences.

Hugging Face Transformers

Loads and deploys state-of-the-art pretrained models for text, vision, and audio using the Hugging Face library.

Apple Silicon MLX Engineering

Optimizes and runs large language models on Apple Silicon using the native MLX framework for high-performance inference and fine-tuning.

Prompt Engineering Expert

Optimizes LLM output quality by providing domain-specific guidance and structural patterns for crafting high-performance prompts.

AI Agent & Workflow Patterns

Architects sophisticated AI agent systems and LLM workflows using proven patterns like ReAct, prompt chaining, and orchestrator-worker models.

Research Methodology Expert

Matches complex research questions to rigorous experimental designs, sampling strategies, and validity controls using PhD-level frameworks.

Context Degradation Diagnostics

Identifies and mitigates performance loss in large-context agent systems using proven architectural patterns and empirical benchmarks.

Context Optimization for AI Agents

Optimizes AI agent context windows using advanced compaction, masking, and partitioning techniques to improve performance and reduce token costs.

Context Engineering Fundamentals

Masters the mechanics of LLM context to design efficient, high-performance agent architectures and debugging strategies.

Context Degradation Diagnostic & Mitigation

Diagnoses and mitigates performance loss in AI agents by identifying patterns like lost-in-middle, context poisoning, and distraction.

Memory Systems for AI Agents

Design and implement advanced memory architectures to help AI agents persist state, maintain entity consistency, and reason over structured knowledge.

Context Engineering Fundamentals

Master the mechanics, constraints, and optimization strategies of context within AI agent architectures to improve performance and reduce costs.

Multi-Agent Architecture Patterns

Designs and implements scalable multi-agent systems to overcome context limitations and manage complex task decomposition.

Multi-Agent Architecture Patterns

Designs and implements robust multi-agent systems to overcome context limits and handle complex, parallelizable tasks.

AI Memory Systems Architect

Design and implement sophisticated memory architectures for AI agents to maintain state, consistency, and long-term knowledge.

Advanced LLM Evaluation

Implements sophisticated LLM-as-a-Judge techniques to evaluate, compare, and benchmark AI model outputs with high precision.

Advanced AI Evaluation & LLM-as-a-Judge

Implements robust LLM-as-a-Judge evaluation techniques to measure, compare, and optimize the quality of AI-generated outputs.

Academic Peer Reviewer

Provides rigorous, PhD-level critiques of academic manuscripts and research methodologies to ensure high-impact scholarly standards.

Ontology Permissible Value Mapper

Maps LinkML enum permissible values to verified ontology terms and CURIEs using the Ontology Access Kit (OAK).

LangChain TypeScript Initializer

Bootstraps a production-ready LangChain TypeScript project with optimal configuration for AI agents and LangGraph.

Hyperspell Setup

Integrates Hyperspell’s long-term memory and RAG capabilities into your project with automated configuration and SDK setup.

Quantitative Analysis & Statistics

Conducts rigorous statistical analysis, power calculations, and data interpretation using PhD-level methodologies.

Prompt Engineering Expert

Optimizes AI prompts using research-backed frameworks and production-ready templates to ensure high-quality, cost-effective model outputs.

Data Visualization & Chart Generation

Generates accurate, data-driven charts and business visualizations using Python for professional reports and analysis.

0G Compute Model Fine-Tuning

Fine-tunes AI models on 0G's decentralized GPU network using a streamlined CLI and SDK workflow.

Model Intelligence & Detection

Optimizes agent behavior by automatically identifying the active LLM and adjusting execution configurations for maximum cross-model compatibility.