2.3K skills · sorted by relevance
Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).
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SE Ranking AI visibility analyst (extension). Tracks AI Share-of-Voice across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode in a single query.
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Expert knowledge of the melosys-api Oracle database schema. Use when: (1) Writing SQL queries against the melosys database, (2) Understanding table relationships and foreign keys, (3) Debugging data issues by querying the database, (4) Understanding what data is stored where, (5) Creating or modifying Flyway migrations, (6) Mapping domain entities to database tables. Triggers: SQL against melosys DB, table/column lookup, FK relationships, "where is X stored", "what column stores X", "why is data missing", beh_resultat_id, behandlingsresultat_id, saksnummer, schema.
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Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
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Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
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Generates Read Model/Projection for PHP 8.5. Creates optimized query models for CQRS read side with projections and denormalization. Includes unit tests.
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Generates DDD Specification for PHP 8.5. Creates reusable business rule objects for validation, filtering, and querying with composite pattern support. Includes unit tests.
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CQRS architecture knowledge base. Provides patterns, antipatterns, and PHP-specific guidelines for Command Query Responsibility Segregation audits.
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Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
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[23] UNDERSTAND. Consult external AI models when internal sources are exhausted. Build quality prompts using Prompt150 formula (Context + Query + Method + Style). Use when Loop150 exhausts internal sources, need real-world precedents, confidence <75%, or require reasoning from specialized AI models.
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開発作業ドキュメントを自動生成します。YYYYMMDD_要件名の形式でディレクトリを作成し、requirements.md、design.md、tasklist.md、testing.mdを生成します。「開発作業ドキュメント作成」「新規開発のドキュメント作って」「ドキュメント生成」などで呼び出されます。
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開発作業のタスクリスト（tasklist.md）を単体で生成・再生成します。全ドキュメントの一括生成には generate-working-docs（新規機能開発）または generate-performance-docs（パフォーマンス改善）を使用してください。
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開発作業のタスクリスト（tasklist.md）を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。
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開発作業の設計書（design.md）を単体で生成・再生成します。全ドキュメントの一括生成には generate-working-docs（新規機能開発）または generate-performance-docs（パフォーマンス改善）を使用してください。
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開発作業の要件定義書（requirements.md）を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。
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開発作業のテスト手順書（testing.md）を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。
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開発作業の設計書（design.md）を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。
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ドキュメント内のNuxt UI v3記法を検出し、v4記法への修正を支援します。「ドキュメントをチェックして」「Nuxt UI v4の記法を確認」などで呼び出されます。
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開発作業の要件定義書（requirements.md）を単体で生成・再生成します。全ドキュメントの一括生成には generate-working-docs（新規機能開発）または generate-performance-docs（パフォーマンス改善）を使用してください。
The English summary is being prepared. Showing the original description.
新規機能開発の作業ドキュメントを自動生成します。YYYYMMDD_要件名の形式でディレクトリを作成し、requirements.md、design.md、tasklist.md、testing.mdを生成します。「開発作業ドキュメント作成」「新規開発のドキュメント作って」「ドキュメント生成」などで呼び出されます。パフォーマンス改善作業には generate-performance-docs を使用してください。
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パフォーマンス改善作業の開発ドキュメントを自動生成します。YYYYMMDD_要件名の形式でディレクトリを作成し、requirements.md、design.md、tasklist.md、testing.mdを生成します。「パフォーマンス改善のドキュメント作って」「最適化作業のドキュメント」「高速化のドキュメント生成」などで呼び出されます。
The English summary is being prepared. Showing the original description.
開発作業のテスト手順書（testing.md）を単体で生成・再生成します。全ドキュメントの一括生成には generate-working-docs（新規機能開発）または generate-performance-docs（パフォーマンス改善）を使用してください。
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JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
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PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
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