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: core

Direktori bahasa Inggris

CFEngine Community

525
Stars
67/100
Kepercayaan
Kategori: automationAudit

High-performance, well-tested & documented core libraries for Ethereum, in Rust

963
Stars
73/100
Kepercayaan
Kategori: web3-analyticsAudit

A privacy-preserving Raspberry Pi home security camera that uses advanced end-to-end encryption.

1.6K
Stars
84/100
Kepercayaan
Kategori: legal-complianceAudit

The ARK Core Blockchain Framework. Check https://ark.dev/docs/core for more information.

346
Stars
69/100
Kepercayaan
Kategori: web3-analyticsAudit

Cloud Robotics Core: Kubernetes, Federation, App Management

207
Stars
69/100
Kepercayaan
Kategori: devopsAudit

Core for OPEX exchange, Open Source Cryptocurrency Exchange

132
Stars
68/100
Kepercayaan
Kategori: web3-analyticsAudit

A modern PDF library for TypeScript. Parse, modify, and generate PDFs with a clean, intuitive API.

1.8K
Stars
80/100
Kepercayaan
Kategori: document-processingAudit

AI-native design system for Next.js apps and landing pages

228
Stars
69/100
Kepercayaan
Kategori: design-creativeAudit

AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low-power presentation runtime.

25K
Stars
88/100
Kepercayaan
Kategori: agent-skillsAudit

Rust full node implementation of the Fuel v2 protocol.

57K
Stars
77/100
Kepercayaan
Kategori: web3-analyticsAudit
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
Kepercayaan
Kategori: productivityAudit
Ray87

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit