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: 10x

Direktori bahasa Inggris
10x73

⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, BYOK, fully self-hosted.

1.4K
Stars
73/100
Kepercayaan
Kategori: agent-frameworksAudit

🐸 Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.

12K
Stars
87/100
Kepercayaan
Kategori: growth-marketingAudit

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

12K
Stars
77/100
Kepercayaan
Kategori: devopsAudit

Get 10X more out of Claude Code, Codex or any coding agent

27K
Stars
81/100
Kepercayaan
Kategori: agent-frameworksAudit

A visual playground for agentic workflows: Iterate over your agents 10x faster

5.8K
Stars
81/100
Kepercayaan
Kategori: dataAudit

Self-hosted GitHub Actions runners made simple. For AWS. 10x cheaper, 40% faster, and unlimited caching. Best alternative to Actions Runner Controller.

1.2K
Stars
84/100
Kepercayaan
Kategori: github-automationAudit

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

5.3K
Stars
83/100
Kepercayaan
Kategori: ml-automationAudit

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

10K
Stars
76/100
Kepercayaan
Kategori: ml-automationAudit

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
Kepercayaan
Kategori: data-analysisAudit

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

941
Stars
74/100
Kepercayaan
Kategori: agent-frameworksAudit

NEO Emacs (WIP): GPU powered Emacs written in Rust with a modern display engine. Aiming for modern design & multi-threaded Elisp, 10x performance, zero-pause GC and 100% Emacs compatibility.

879
Stars
67/100
Kepercayaan
Kategori: productivity-automationAudit

10x faster matrix and vector operations

2.5K
Stars
68/100
Kepercayaan
Kategori: ml-automationAudit