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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

8,178 スキル

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification,...

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq,...

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE,...

Comprehensive security engineering skill for application security, penetration testing, security architecture, and...

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k...

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs,...

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining...

Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4...

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an...

A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team...

Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or...

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for...

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation...

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile...