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: entity

英語版ディレクトリ

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

1.0K
Stars
66/100
信頼
カテゴリ: robotics-iot監査

A comprehensive set of 38 marketing skills and 5 commands for Claude Code covering SEO/GEO and influencer marketing with evaluation frameworks.

2.6K
Stars
86/100
信頼
カテゴリ: productivity監査
Sem84

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 26 languages via tree-sitter. Built for coding agents.

3.2K
Stars
84/100
信頼
カテゴリ: agent-frameworks監査

Entity Framework Core provider for PostgreSQL

1.8K
Stars
76/100
信頼
カテゴリ: data-analysis監査

Entity-Relationship Diagram Editor

1.7K
Stars
76/100
信頼
カテゴリ: data-analysis監査

Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle

4.0K
Stars
73/100
信頼
カテゴリ: data-analysis監査

Curated collection of 14 domain-specific agent skills covering the CesiumJS API, installable as a Claude Code plugin or via the Agent Skills standard.

112
Stars
76/100
信頼
カテゴリ: coding-agents監査

Entity Relation Diagrams generation tool

1.4K
Stars
74/100
信頼
カテゴリ: data-analysis監査

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

6.6K
Stars
75/100
信頼
カテゴリ: support-automation監査

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

853
Stars
72/100
信頼
カテゴリ: document-processing監査

The football entity register. Maps player, team, and coach identities across Transfermarkt, FBref, UEFA, Sofascore, and 25+ data providers.

196
Stars
71/100
信頼
カテゴリ: sports-analytics監査

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

1.7K
Stars
72/100
信頼
カテゴリ: ml-automation監査