Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: hidden-services

英語版ディレクトリ

Connect, secure, control, and observe services.

38K
Stars
81/100
信頼
カテゴリ: devops監査

SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

32K
Stars
87/100
信頼
カテゴリ: rag-knowledge監査

Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.

12K
Stars
85/100
信頼
カテゴリ: github-automation監査

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

11K
Stars
86/100
信頼
カテゴリ: document-processing監査

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

34K
Stars
75/100
信頼
カテゴリ: Finance監査

Fully automated homelab from empty disk to running services with a single command.

9.4K
Stars
83/100
信頼
カテゴリ: devops監査

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

34K
Stars
75/100
信頼
カテゴリ: Finance監査

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

34K
Stars
75/100
信頼
カテゴリ: Finance監査

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

18K
Stars
86/100
信頼
カテゴリ: ml-automation監査

A collection of AI agent skills for working with Expo projects and Expo Application Services

2.4K
Stars
86/100
信頼
カテゴリ: agent-skills監査

Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts

6.1K
Stars
86/100
信頼
カテゴリ: automation監査

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
信頼
カテゴリ: agent-skills監査