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: aggregator

Direktori bahasa Inggris

Aggregator for issues filed against kubeadm

4.0K
Stars
81/100
Kepercayaan
Kategori: devopsAudit

Search engine aggregator with a comprehensive plugin/extension system

1.4K
Stars
77/100
Kepercayaan
Kategori: rag-knowledgeAudit
M383

M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform

4.9K
Stars
83/100
Kepercayaan
Kategori: devopsAudit

Free open source office suite with business productivity tools: document and project management, CRM, mail aggregator.

3.1K
Stars
80/100
Kepercayaan
Kategori: growth-marketingAudit

Cryptocurrency trades aggregator

1.1K
Stars
76/100
Kepercayaan
Kategori: financeAudit

Multi-workspace terminal aggregator with Claude Code AI integration

412
Stars
65/100
Kepercayaan
Kategori: coding-agentsAudit

A lightweight, cloud-native data transfer agent and aggregator

1.3K
Stars
69/100
Kepercayaan
Kategori: devopsAudit

Quantified Self Personal Data Aggregator and Data Analysis

1.1K
Stars
69/100
Kepercayaan
Kategori: data-analysisAudit

Search aggregator for Slack, Google Docs, GitHub, and more :mag:

535
Stars
69/100
Kepercayaan
Kategori: design-creativeAudit

Job board aggregator indexing 1,000,000+ active positions from 20,000+ companies across Greenhouse, Lever, Ashby, Workday, and other major ATS platforms. Multithreaded Python ETL pipeline, daily automated refreshes via GitHub Actions, filterable client-side search.

89
Stars
68/100
Kepercayaan
Kategori: data-analysisAudit

A news aggregator in python, that focuses primarily on business and market news sources.

136
Stars
69/100
Kepercayaan
Kategori: financeAudit

A personal news aggregator to pull information from multi-sources + LLM (ChatGPT/Gemini/Ollama via LangChain) to help us reading efficiently with less noises, the sources including: Tweets, RSS, YouTube, Web Articles, Reddit, and personal Journal notes.

885
Stars
67/100
Kepercayaan
Kategori: productivity-automationAudit