nosql-databases
456
caching-patterns
Redis caching strategies, cache invalidation, write-through/write-behind, TTL management, and cache stampede protection.
vibeeval
databases
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
nosql-databases
425
work-logger
Document completed work with vector database indexing. Use `/log-work` after completing any significant task (feature, bug fix, refactoring, configuration change) to record what was done, decisions made, and files changed.
syi0808
databases
nosql-databases
389
nestjs-search
Integrate Elasticsearch and implement search index Sync patterns in NestJS. Use when integrating Elasticsearch or implementing search index sync in NestJS. (triggers: **/*.service.ts, **/search/**, Elasticsearch, CQRS, Synchronization)
HoangNguyen0403
databases
nosql-databases
389
database-redis
Optimize Redis caching, key management, and performance. Use when implementing Redis caching strategies, managing key namespaces, or optimizing Redis performance. (triggers: **/*.ts, **/*.js, **/redis.config.ts, redis, cache, ttl, eviction)
HoangNguyen0403
databases
nosql-databases
358
mongodb-usage
This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".
fcakyon
databases
nosql-databases
338
architecture
Use when exploring codebase structure, understanding index implementations (HNSW, IVF, DISKANN, Sparse, MinHash), working with third-party libraries (faiss, hnswlib, DiskANN, Cardinal), or locating specific functionality
zilliztech
databases
nosql-databases
333
using-graph-databases
Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.
ancoleman
databases
nosql-databases
333
using-document-databases
Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.
ancoleman
databases
nosql-databases
276
elasticsearch
Guides Elasticsearch usage including index mapping design, query DSL (match, term, bool, aggregations), bulk indexing, cluster management, and performance tuning. Use when the user needs to implement full-text search, design index mappings, write complex search queries, or manage Elasticsearch clusters.
partme-ai
databases
nosql-databases
276
redis
Guides Redis usage including data structures (strings, hashes, lists, sets, sorted sets), caching patterns, pub/sub, persistence (RDB/AOF), clustering, and Lua scripting. Use when the user needs to implement caching, session storage, rate limiting, queues, or any Redis-based data layer.
partme-ai
databases
nosql-databases
238
upstash-redis-kv
Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.
intellectronica
databases
nosql-databases
238
upstash-redis-kv
Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.
intellectronica
databases
nosql-databases
223
mongodb-query
Query MongoDB notes store for memory analysis and statistics.
OriNachum
databases
nosql-databases
205
qdrant
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
giuseppe-trisciuoglio
databases
nosql-databases
195
eric-education-api
Search 2M+ education research records via the ERIC database API
wentorai
databases
nosql-databases
185
dokploy-health-patterns
Health check patterns for different service types in Dokploy templates. Covers HTTP, PostgreSQL, MongoDB, Redis, MySQL, and custom health checks.
majiayu000
databases
nosql-databases
165
caching-strategy
Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.
aj-geddes
databases
nosql-databases
162
search-config
Search indexing configuration and full-text search management
alsk1992
databases
nosql-databases
157
cloudbase-document-database-web-sdk
Use CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
Microck
databases
nosql-databases
157
mongodb-usage
This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".
Microck
databases
nosql-databases
157
pinecone
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
Microck
databases
nosql-databases
132
apollo-caching-strategies
Use when implementing Apollo caching strategies including cache policies, optimistic UI, cache updates, and normalization.
TheBushidoCollective
databases