发现 tools nosql databases 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Idempotent API operations with idempotency keys, Redis caching, DB constraints. Use for payment systems, webhook retries, safe retries, or encountering duplicate processing, race conditions, key expiry errors.
Vercel KV (Redis-compatible key-value storage via Upstash). Use for Next.js caching, sessions, rate limiting, TTL data storage, or encountering KV_REST_API_URL errors, rate limit issues, JSON serialization erro...
Implements efficient API pagination using offset, cursor, and keyset strategies for large datasets. Use when building paginated endpoints, implementing infinite scroll, or optimizing database queries for collec...
Connect to local Weaviate vector database and verify connection health
Create, view, update, and delete Weaviate collections with schema management (for local Weaviate)
Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications
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".
Firebase Firestore NoSQL patterns, real-time sync ve security rules rehberi.
Redis caching stratejileri, Pub/Sub ve veri yapıları (Streams, Lists, Hashes).
Qdrant vector database REST API via curl. Use this skill to store, search, and manage vector embeddings.
Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platfor...
Work with vector databases for RAG, embeddings, and semantic search using ChromaDB or similar. Use when building knowledge bases for PSI Engine or AI-powered search.
Write production-ready SurrealDB queries and operations using SurrealQL. Use when users need to create schemas, write CRUD queries, model graph relationships, build authentication systems, optimize performance,...
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuningUse when "adding search to, algolia, instantsearch, search api, search functionality, typeahead,...
Database design specialist for schema modeling, query optimization, indexing strategies, and data integrityUse when "database design, schema, indexes, query optimization, migrations, normalization, database sca...
World-class caching strategies - cache invalidation, Redis patterns, CDN caching, and the battle scars from cache bugs that served stale data for hoursUse when "cache, caching, redis, memcached, cdn, ttl, inval...
Redis expert for caching, pub/sub, data structures, and distributed systems patternsUse when "redis, caching strategy, cache invalidation, pub/sub, rate limiting, distributed lock, session storage, leaderboard,...
Database design, query optimization, migrations, and indexing. Use when designing schemas, writing queries, or managing migrations.
Recommend caching strategies and invalidation patterns. Use when a mid-level developer needs performance guidance.
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Expert SurrealDB developer specializing in multi-model database design, graph relations, document storage, SurrealQL queries, row-level security, and real-time subscriptions. Use when building SurrealDB applica...
sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partiti...
Interactive database query builder for generating optimized SQL and NoSQL queries.
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。