技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: matrix

英文目录

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
信任
分类: data审计

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

6.4K
Stars
84/100
信任
分类: automation审计

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
信任
分类: rag-knowledge审计

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

1.1K
Stars
86/100
信任
分类: utility审计

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
信任
分类: ml-automation审计

Multi-class confusion matrix library in Python

1.5K
Stars
77/100
信任
分类: data-analysis审计

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
信任
分类: legal-compliance审计

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
信任
分类: coding-agents审计

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

2.2K
Stars
83/100
信任
分类: media-automation审计

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

114
Stars
73/100
信任
分类: research审计

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
信任
分类: data-analysis审计

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
信任
分类: research审计