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: matrix

英語版ディレクトリ

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, MiniMax, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow

16K
Stars
87/100
信頼
カテゴリ: data監査

🐳 Matrix (An open network for secure, decentralized communication) server setup using Ansible and Docker

6.4K
Stars
84/100
信頼
カテゴリ: automation監査

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

4.6K
Stars
75/100
信頼
カテゴリ: rag-knowledge監査

Help your coding agents (Claude Code, Codex, Qoder, Cursor, and other coding agents) get better at getting better.

1.1K
Stars
86/100
信頼
カテゴリ: utility監査

Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!

9.9K
Stars
74/100
信頼
カテゴリ: ml-automation監査

Multi-class confusion matrix library in Python

1.5K
Stars
77/100
信頼
カテゴリ: data-analysis監査

Open-source private logbook with a local agentic layer. Long-living AI agents read what you record and propose what to do next. Hardware permitting, the models runs locally too. Matrix + Vodozemac for end-to-end encrypted sync between your own devices.

1.1K
Stars
84/100
信頼
カテゴリ: legal-compliance監査

Curated collection of 14 domain-specific agent skills covering the CesiumJS API, installable as a Claude Code plugin or via the Agent Skills standard.

112
Stars
76/100
信頼
カテゴリ: coding-agents監査

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

2.2K
Stars
83/100
信頼
カテゴリ: media-automation監査

A collection of Codex skills for IEEE-style academic writing, review, experiments, figures, LaTeX, citations, and paper reading.

114
Stars
73/100
信頼
カテゴリ: research監査

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
信頼
カテゴリ: data-analysis監査

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
信頼
カテゴリ: research監査