caching-patterns
Caching strategies for web applications. Covers browser caching, CDN, application cache (Redis), database query cache, and React/Next.js caching patterns.
Caching strategies for web applications. Covers browser caching, CDN, application cache (Redis), database query cache, and React/Next.js caching patterns.
Research and catalog workflows from external Claude Code repositories
ArgoCD ApplicationSets, progressive delivery, Harness GitX, and multi-cluster GitOps patterns
This skill should be used when the user asks to "add caching", "implement Redis cache", "cache API response", "invalidate cache", "add cache layer", "optimize with caching", or mentions Redis, caching strategies, cache invalidation, or performance optimization. Provides Redis caching patterns for FastAPI.
Vector databases - Pinecone, Weaviate, Chroma, Qdrant for RAG and semantic search
Manage and optimize the RAG (Retrieval-Augmented Generation) system including reindexing, search optimization, and custom index creation. Use when user wants to improve search quality, reindex their collection, or create specialized indexes.
Semantic filter: evaluate each Collection item against a `predicate` string and return matching items (target, predicate, [mode])
Database expert for query optimization, indexing, schema design, and performance tuning
Configure pgvector extension for vector search in Supabase - includes embedding storage, HNSW/IVFFlat indexes, hybrid search setup, and AI-optimized query patterns. Use when setting up vector search, building RAG systems, configuring semantic search, creating embedding storage, or when user mentions pgvector, vector database, embeddings, semantic search, or hybrid search.
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techniques. Ensures scalable, maintainable, and performant data models.
Search implementation patterns: full-text search with Postgres tsvector, Typesense for production search, Elasticsearch for complex analytics, faceted search, autocomplete, typo tolerance, vector/semantic search, and relevance tuning.
Retrieve public education registry and indicator records from EHIS and HaridusSilm, including published XLS/XLSX extracts and public registry views.
Retrieve machine-readable MuIS museum/collection records from opendata.muis.ee RDF endpoints and related open-data resource paths.
Register and access dependencies in Modugo modules using GetIt via the binds() method
Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies. Activate when working with database files, migrations, schema changes, SQL, ORM code, database tests, or when user mentions migrations, schema design, SQL optimization, NoSQL, database patterns, or connection pooling.
ScalarDB設計エージェント - ScalarDB Clusterを使用したマイクロサービスのデータアーキテクチャ設計。分散トランザクション、スキーマ設計、ポリグロット永続化を策定。/design-scalardb [対象パス] で呼び出し。
Manage database indexes (CREATE/DROP INDEX operations)
Guide for using caching utilities in speedy_utils, including memory, disk, and hybrid caching strategies for sync and async functions.
Review database schema, indexing strategy, query performance, and migration safety for relational and NoSQL databases.
Generate Redis key patterns and data structures. Use when designing Redis architecture.
Redis caching, sessions, and object cache in WordPress via Acorn; configuration with Lando, cache tags, and Laravel's Redis facade
Local episodic memory engine with Go sidecar for Gemini embeddings