Data Science & ML Claudeスキル
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。
AI Agent Builder
Designs and builds autonomous AI agents by providing architectural frameworks for capabilities, knowledge management, and agentic loops.
Scientific Protein Modeling (ESM)
Facilitates advanced protein design, structure prediction, and representation learning using the Evolutionary Scale Modeling (ESM) toolkit.
Claude Flow V3 Deep Integration
Refactors agentic architectures by integrating agentic-flow@alpha to eliminate code redundancy and maximize swarm performance.
AgentDB Learning
Implements and trains reinforcement learning algorithms to create self-improving autonomous agents using the AgentDB plugin system.
Flow Nexus Neural
Trains and deploys custom neural network architectures across distributed sandbox environments.
AgentDB Memory Patterns
Implements high-performance persistent memory and pattern-learning capabilities for stateful AI agents using AgentDB.
ReasoningBank Intelligence
Implements adaptive learning and meta-cognitive capabilities to enable AI agents to recognize patterns and optimize strategies through continuous experience.
Flow Nexus Platform
Orchestrates intelligent agent swarms, manages secure code sandboxes, and handles application deployment within the Flow Nexus ecosystem.
ReasoningBank AgentDB
Implements adaptive learning and experience replay for agents using a high-performance vector database to optimize decision-making over time.
Local Offline TTS
Generates high-quality speech from text locally using Sherpa-ONNX models without requiring cloud connectivity.
Imaging Data Commons Access
Queries and downloads large-scale public cancer imaging datasets from the NCI Imaging Data Commons using Python and SQL.
FRED Economic Data
Queries the FRED API for over 800,000 economic time series to support macroeconomic research and financial analysis.
Book SFT Pipeline
Automates the end-to-end process of converting literary works into high-quality datasets for fine-tuning AI models on specific authorial voices and writing styles.
Context Engineering Fundamentals
Provides foundational principles and implementation patterns for managing language model context windows and attention mechanics in AI agent systems.
Advanced LLM Evaluation
Implements sophisticated LLM-as-a-judge frameworks and evaluation rubrics to ensure production-grade quality and bias mitigation.
Project Development Methodology
Guides the architectural design, evaluation, and implementation of LLM-powered applications and agent systems.
BDI Mental State Modeling
Models autonomous agent behaviors using Belief-Desire-Intention (BDI) architecture and formal cognitive ontologies.
Context Engineering & Optimization
Optimizes AI context window usage through strategic compression, observation masking, and partitioning to improve performance and reduce costs.
Multi-Agent Patterns
Designs and implements sophisticated multi-agent architectures for Claude Code by optimizing context isolation and coordination strategies.
Memory Systems
Design and implement sophisticated agent memory architectures, from vector stores to temporal knowledge graphs, for cross-session persistence.
Context Compression Manager
Optimizes AI agent token usage through advanced context summarization and structured information preservation.
Context Degradation Diagnostics
Diagnoses and mitigates context-related failures in agent systems to ensure reliable performance across large context windows.
MATLAB & Octave Scientific Computing
Performs advanced numerical computing, matrix operations, and scientific visualizations using MATLAB and GNU Octave syntax.
Rowan: Quantum Chemistry & Molecular Simulation
Automates advanced quantum chemistry workflows and protein-ligand modeling using a cloud-based Python API.
K-Dense Web Integration
Connects Claude to the K-Dense Web platform for advanced, end-to-end scientific research workflows and multi-agent AI collaboration.
Atomic Prompt Design
Generates structured, effective system prompts for AI agents using a modular architecture of background identity, processing steps, and output instructions.
Atomic Agents Schema Designer
Defines robust, type-safe data contracts and Pydantic-based schemas for AI agents using the Atomic Agents framework.
Atomic Agents Context Providers
Injects dynamic, runtime data into AI agent system prompts to enable context-aware decision making and information sharing.
Atomic Agents Configuration
Orchestrates and configures modular, structured AI agents using the Atomic Agents framework for robust LLM applications.
Atomic Agents Project Structure
Scaffolds and organizes modular AI agent projects using standardized directory layouts and configuration patterns.
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