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。
Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.
Implements a multi-layered memory architecture based on Mem0 research to boost AI accuracy and persistence across sessions.
Orchestrates a fleet of 48+ autonomous AI agents for cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Accesses the NIH Metabolomics Workbench REST API to query metabolite data, study metadata, and perform mass spectrometry searches.
Integrates 300+ AI models into Claude Code for specialized tasks, high-fidelity image generation, and cross-model reasoning.
Streamlines building high-performance OLAP applications using DuckDB, MotherDuck, and Parquet in Node.js and TypeScript.
Transforms temporal RecordSets into event-triggered CaseSets for machine learning feature extraction.
Automates the generation of publication-ready tables and figures from model performance data for academic research.
Orchestrates neural network training, evaluation, and deployment through a model-agnostic pipeline and standardized asset packaging system.
Transforms structured CaseSets into ML-ready datasets with automated splitting, feature engineering, and vocabulary management.
Automates the creation and interactive refinement of LaTeX academic paper drafts from research data and architectural blueprints.
Conducts professional-grade biomedical literature searches and manages citations using the PubMed database.
Standardizes vector memory workflows and MCP tool interactions for persistent codebase intelligence and context management.
Manages complex academic research workflows through 24 specialized agents with mandatory human-in-the-loop checkpoints.
Enables seamless model-to-model collaboration by delegating research, code reviews, and architectural validation to Google Gemini.
Designs and executes rigorous qualitative data collection protocols for interviews, focus groups, and systematic observations.
Builds, trains, and deploys predictive machine learning models with robust preprocessing and standardized evaluation pipelines.
Creates sophisticated, interactive data visualizations and custom charts using the D3.js library.
Optimizes predictive accuracy by balancing probability alignment with the ability to distinguish between diverse outcomes.
Implements evolutionary design principles to build adaptive systems that improve through iterative variation, selection pressure, and inheritance.
Routes prompts and code context to multiple high-performance AI models for cross-validation and specialized deep research.
Applies systematic techniques and structured frameworks to optimize LLM instructions for maximum accuracy, consistency, and output quality.
Applies biological adaptation principles to optimize complex systems through iterative variation, selection, and inheritance.
Anchors predictions and decision-making in statistical frequencies to avoid cognitive bias and improve estimation accuracy.
Formalizes natural language mathematical questions into Lean 4 and verifies them using the Harmonic Aristotle prover API.
Implements structured competitive prediction frameworks using Brier scores and systematic debiasing to enhance organizational forecasting accuracy.
Simplifies the design and analysis of complex control systems using the C11-based ctrlsys library.
Analyzes complex optimization problems using evolutionary landscape metaphors to identify local traps and global optima.
Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.
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