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: chain

英語版ディレクトリ

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

30K
Stars
88/100
信頼
カテゴリ: coding-agents監査

A tool that lets AI agents like Claude Code edit videos by cutting filler words, color grading, adding subtitles, and more, all via natural language commands.

17K
Stars
85/100
信頼
カテゴリ: media監査

node of the decentralized oracle network, bridging on and off-chain computation

8.2K
Stars
75/100
信頼
カテゴリ: web3-analytics監査

An EVM compatible Substrate chain, powered by StorageHub and secured by EigenLayer

7.9K
Stars
84/100
信頼
カテゴリ: agent-frameworks監査

Supply-chain Levels for Software Artifacts

1.9K
Stars
74/100
信頼
カテゴリ: devops監査

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

1.1K
Stars
84/100
信頼
カテゴリ: rag-knowledge監査

Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Management and Manufacturing Resource Planning. OFBiz provides a foundation and starting point for reliable, secure and scalable enterprise solutions.

1.1K
Stars
83/100
信頼
カテゴリ: geo-science監査
Ape77

Build and explore on-chain with Python

1.0K
Stars
77/100
信頼
カテゴリ: coding-agents監査

Serenity-inspired Agent Skill for supply-chain bottleneck stock research

3.5K
Stars
76/100
信頼
カテゴリ: agent-skills監査

Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.

51K
Stars
78/100
信頼
カテゴリ: research監査

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

907
Stars
69/100
信頼
カテゴリ: data-analysis監査