Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: causal-graphs

英語版ディレクトリ

A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.

92K
Stars
80/100
信頼
カテゴリ: development監査

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

75K
Stars
84/100
信頼
カテゴリ: rag-knowledge監査

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.

44K
Stars
86/100
信頼
カテゴリ: data-analysis監査

Build Real-Time Knowledge Graphs for AI Agents

28K
Stars
82/100
信頼
カテゴリ: data監査

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges

12K
Stars
87/100
信頼
カテゴリ: data-analysis監査

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

8.2K
Stars
86/100
信頼
カテゴリ: ml-automation監査

Uplift modeling and causal inference with machine learning algorithms

5.9K
Stars
76/100
信頼
カテゴリ: ml-automation監査

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

4.7K
Stars
76/100
信頼
カテゴリ: ml-automation監査

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

2.8K
Stars
73/100
信頼
カテゴリ: agent-frameworks監査

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

2.5K
Stars
83/100
信頼
カテゴリ: data-analysis監査

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

2.2K
Stars
85/100
信頼
カテゴリ: rag-knowledge監査

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

2.0K
Stars
84/100
信頼
カテゴリ: data監査