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: request

Direktori bahasa Inggris

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Kepercayaan
Kategori: coding-agentsAudit

A Codex skill for generating minimal zine-style editorial poster prompts and images.

6.3K
Stars
83/100
Kepercayaan
Kategori: design-creativeAudit

Manifest provides smart routing for LLMs in OpenClaw, significantly reducing costs.

7.1K
Stars
77/100
Kepercayaan
Kategori: utilityAudit

Terraform Pull Request Automation

9.1K
Stars
81/100
Kepercayaan
Kategori: automationAudit

Kubernetes-based, scale-to-zero, request-driven compute

6.1K
Stars
80/100
Kepercayaan
Kategori: devopsAudit

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
Kepercayaan
Kategori: agent-skillsAudit

AI skill for OpenClaw & Claude Code โ€” recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
Kepercayaan
Kategori: developmentAudit

A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

632
Stars
80/100
Kepercayaan
Kategori: marketing-growthAudit

A GitHub action to create a pull request for changes to your repository in the actions workspace

2.8K
Stars
84/100
Kepercayaan
Kategori: devopsAudit

OpenTag connects Slack, GitHub, or Lark to a local coding agent, routing @mentions to AI agents and returning results in thread.

1.4K
Stars
84/100
Kepercayaan
Kategori: developmentAudit

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

2.0K
Stars
80/100
Kepercayaan
Kategori: researchAudit