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: cyber-rank

英語版ディレクトリ

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

35K
Stars
87/100
信頼
カテゴリ: data-analysis監査

Watcher - Open Source AI-powered Cyber Threat Intelligence & Hunting Platform. Developed with Django & React JS.

1.3K
Stars
84/100
信頼
カテゴリ: security監査

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

2.7K
Stars
72/100
信頼
カテゴリ: Finance監査

A library of reusable AI agent skills following the Agent Skills standard, installable across multiple AI development tools.

118
Stars
74/100
信頼
カテゴリ: utility監査

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

2.4K
Stars
76/100
信頼
カテゴリ: devops監査
aeo77

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.

25K
Stars
77/100
信頼
カテゴリ: security監査

20 SEO & GEO skills for Claude Code, Cursor, Codex, and 35+ AI agents. Keyword research, content writing, technical audits, rank tracking. CORE-EEAT + CITE frameworks.

132
Stars
75/100
信頼
カテゴリ: agent-skills監査

Open-source and real-time orchestrator for cyber-physical-systems, to easily design, test and deploy embedded applications and digital twins.

544
Stars
73/100
信頼
カテゴリ: robotics-iot監査

🟢 cybergraph prototype sdk

361
Stars
65/100
信頼
カテゴリ: web3-analytics監査

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

946
Stars
71/100
信頼
カテゴリ: rag-knowledge監査