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。
Designs structured evaluation frameworks for AI agents including metrics, datasets, and automated grading strategies.
Automates the iterative refinement of AI agent performance through contract-driven evaluation and multi-lever optimization protocols.
Defines precise optimization goals and regression guardrails for autonomous agent loops using normalized 0-1 scoring.
Streamlines the lifecycle of LLM prompts by enabling versioning, deployment, and management within the Langfuse observability platform.
Refines AI agent performance through structured optimization loops, automated evaluation contracts, and persistent multi-lever tuning.
Executes and evaluates LLM experiments using Langfuse datasets and LLM-as-judge evaluators to measure prompt performance and model quality.
Converts audio and video files into accurate text transcripts with precise word-level timestamps using WhisperX.
Integrates Google's Gemini Pro into Claude Code for deep reasoning, complex architectural analysis, and specialized domain research.
Enables high-speed multi-modal analysis and document summarization using Gemini Flash within the Claude Code environment.
Automates advanced spreadsheet creation, financial modeling, and data analysis with support for dynamic formulas and professional formatting.
Applies automated mathematical transformations to temperature data based on dynamic orchestration rules.
Optimizes and iterates high-signal prompts for OpenAI GPT-5 models to ensure structured, reliable, and hallucination-free outputs.
Parses complex documents, extracts structured data, and edits files using natural language instructions via the Reducto CLI.
Conducts professional market research and competitive analysis using industry-standard McKinsey frameworks directly within your terminal.
Finds and prioritizes academic research papers to streamline literature reviews and citation management directly within your workspace.
Architects high-performance LLM prompts and multi-agent systems using advanced reasoning patterns and optimization techniques.
Refines and enhances AI prompts to improve model performance and output accuracy using a structured analysis framework.
Transforms raw prompts into optimized, production-ready instructions using advanced prompt engineering techniques and model-specific optimizations.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets and tabular data files directly from your terminal.
Architects sophisticated multi-agent systems and autonomous workflows using specialized orchestration patterns.
Provides a comprehensive architectural overview and navigation hub for the haipipe healthcare AI data pipeline system.
Designs, optimizes, and evaluates high-performance LLM prompts using advanced techniques like chain-of-thought and structured output schemas.
Optimizes LLM performance by curating high-signal context windows and managing token efficiency for complex AI agent systems.
Processes and generates multimedia content including audio, video, images, and documents via the Google Gemini API.
Validates and assesses reinforcement learning trading models through systematic gating, backtesting, and walk-forward validation.
Optimizes LLM prompts, evaluates RAG performance, and designs sophisticated agentic workflows for AI applications.
Accesses real-time prediction market data, betting odds, and trading analytics from the Kalshi platform.
Aggregates and summarizes the latest artificial intelligence industry news and technological breakthroughs into concise, high-impact briefings.
Processes and analyzes massive files through a recursive language model loop and persistent local Python environment.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
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