Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: clustering

Direktori bahasa Inggris

Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, international SEO, Google APIs, and PDF/Excel reporting. Optional DataForSEO, Firecrawl, and Banana extensions.

14K
Stars
87/100
Kepercayaan
Kategori: developmentAudit

Vitess is a database clustering system for horizontal scaling of MySQL.

21K
Stars
81/100
Kepercayaan
Kategori: devopsAudit

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K
Stars
83/100
Kepercayaan
Kategori: data-analysisAudit

Fast Open-Source Search & Clustering engine ร— for Vectors & Arbitrary Objects ร— in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram ๐Ÿ”

4.2K
Stars
83/100
Kepercayaan
Kategori: rag-knowledgeAudit

A high performance implementation of HDBSCAN clustering.

3.1K
Stars
80/100
Kepercayaan
Kategori: ml-automationAudit

MMseqs2: ultra fast and sensitive search and clustering suite

2.1K
Stars
80/100
Kepercayaan
Kategori: geo-scienceAudit

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
Kepercayaan
Kategori: researchAudit

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 โ€” the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
Kepercayaan
Kategori: researchAudit

Free email OSINT tool, 2500+ platforms, identity clustering, breach detection. No API keys required. pip install mailaccess

146
Stars
65/100
Kepercayaan
Kategori: growth-marketingAudit

[ROS package] Lightweight and Accurate Point Cloud Clustering

410
Stars
61/100
Kepercayaan
Kategori: robotics-iotAudit

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

400
Stars
63/100
Kepercayaan
Kategori: robotics-iotAudit