springboot-patterns
[ 注目 ]Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Killer-Skillsディレクトリで数千のAI Agentスキルを探索・インストール。Claude Code、Windsurf、Cursorなどに対応。
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Organic recovery should flow through fewer, stronger, first-party entry points instead of a flat bulk-skill corpus.
Curated collection pages carry clearer topical scope, stronger first-party framing, and safer canonical signals than bulk skill listings.
Installation docs prove the site offers first-party setup guidance, not just discovery wrappers.
A workflow-first collection that explains why related skills belong together and what job they solve.
A platform-specific collection for one of the clearest demand clusters in the product ecosystem.
A platform collection that turns IDE demand into a stronger curated hub.
A Gemini-specific collection that turns compatibility research into a curated install path for real delivery teams.
A Python engineering collection built for teams choosing installable workflow helpers instead of browsing raw packages.
A typed-development collection that helps product teams shortlist TypeScript workflow tools with clear next steps.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
The agent-harness-construction skill enhances AI coding by optimizing action spaces, tool definitions, and observation formatting, benefiting developers with higher completion rates.
Android Clean Architecture パターン、メンテナンス性と拡張性の高いアプリケーションを構築する
ClickHouse は、オンライン分析処理用の列指向データベース管理システムです
The iterative-retrieval skill refines context retrieval for subagents, solving the context problem in multi-agent workflows. It benefits developers by progressively refining context.
Java コーディング規約は、可読性とメンテナンス性の高い Java コードを書くためのルールとガイドラインのこと
JPA/Hibernate パターンは、Spring Boot のエンティティ設計、関係、クエリ性能を最適化するために使用されます
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.
PyTorch深度学習パターンとベストプラクティス、堅牢で効率的で再現可能なトレーニングパイプライン、モデルアーキテクチャ、データロードの構築
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
フロントエンドスライドAIエージェントスキルは、アニメーション豊かなHTMLプレゼンテーションを作成する技術です。