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 persistent, tiered memory systems to help AI agents maintain long-term context and entity relationships.
Uncovers hidden patterns, non-obvious correlations, and behavioral signals within complex datasets using investigative analysis techniques.
Automates the addition of new fal.ai models to the Renku pricing catalog by fetching schemas and researching real-time pricing data.
Creates, edits, and analyzes complex Excel spreadsheets with professional financial modeling standards and automated formula verification.
Creates interactive, publication-quality data visualizations and custom SVG graphics using D3.js.
Implements production-ready architectures for LLM applications, including RAG pipelines, autonomous agents, and prompt engineering workflows.
Enforces scientific rigor and theoretical correctness in software engineering tasks, prioritizing high-performance implementation and formal verification.
Builds sophisticated, interactive data visualizations and custom charts using d3.js across any JavaScript environment.
Applies uncompromising scientific rigor and formal verification to bridge the gap between theoretical computer science and high-performance implementation.
Integrates production-grade AI capabilities using optimized LLM patterns, structured outputs, and cost-efficient architectures.
Architects and implements autonomous AI agent systems using advanced tool-use patterns, memory strategies, and multi-agent orchestration.
Provides production-ready architectural patterns and implementation guides for building advanced LLM applications, RAG pipelines, and AI agents.
Applies uncompromising scientific rigor and formal verification to deliver high-performance, mathematically correct software implementations.
Designs and builds robust autonomous AI agent systems using sophisticated planning, memory, and tool-calling architectures.
Optimizes Large Language Model performance through expert-level prompt architecture, systematic evaluation, and structured instruction design.
Generates interactive, publication-quality data visualizations using the D3.js library across any JavaScript environment.
Architects and implements high-performance, low-latency voice agents for natural human-AI interaction.
Designs and builds autonomous AI agents using sophisticated tool use, memory systems, and multi-agent orchestration patterns.
Develops production-grade AI features using robust LLM integration patterns, RAG architecture, and cost-effective prompt engineering.
Manages persistent semantic memory and knowledge graph integration for AI agents to maintain context across sessions.
Implements and configures specialized agent types within the Microsoft Agent Framework for diverse conversational and workflow-driven AI applications.
Orchestrates complex multi-agent systems using Microsoft Agent Framework patterns like AutoGen and Semantic Kernel.
Implements self-learning agent workflows by tracking operational trajectories and recognizing successful automation patterns.
Transforms high-level innovation PRDs into actionable experiment plans with specific hypotheses, success metrics, and evaluation strategies.
Provides an interactive local development and debugging interface for testing Microsoft Agent Framework agents.
Proposes high-level multi-agent and workflow architectures for CustomGPT.ai Labs projects to streamline the path from PRD to production.
Extracts structured recruitment data from CVs for automated processing and ATS integration.
Implements a high-dimensional reasoning framework using simultaneous generators and the Dokkado Protocol for rigorous theoretical derivation.
Implements rule-based resume and job description matching with deterministic scoring and detailed explainability.
Builds high-performance, low-latency voice AI applications and real-time agents using industry-standard APIs and protocols.
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