vector-algorithm-choice
Cursor Rule
Choose HNSW vs FLAT Based on Requirements
Redis development best practices — data structures, query engine, vector search, caching, and performance optimization
Related plugins
Railway
Railway agent skills and MCP server for deploying, configuring, monitoring, and troubleshooting apps and infrastructure on Railway from Cursor. Manage services, environments, deployments, databases, object storage, networking, and observability.
AWS Core
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, Amplify), and complete common tasks across observability (CloudWatch, X-Ray, CloudTrail, ADOT), messaging and streaming (SQS, SNS, EventBridge, Kinesis, MSK), AWS SDKs (boto3, JS v3, Swift), and cost optimization.
Netlify
Netlify platform skills — functions, edge functions, blobs, database, identity, image CDN, forms, config, CLI, frameworks, caching, AI gateway, and deployment
Coralogix
Connects Cursor to the Coralogix Observability MCP Server, letting your AI agent query logs, metrics, traces, and RUM, manage alerts and dashboards — all without leaving the editor.
ScyllaDB
Official ScyllaDB agent skills. Bundles guided skills for ScyllaDB Cloud setup, CQL data modeling, and Vector Search; each is invoked independently by the agent when relevant.
ParadeDB
ParadeDB offers Elastic-quality search in Postgres including BM25 scoring, Top K, highlighting, tokenizers, aggregates, and joins. This plugin teaches agents how to use ParadeDB effectively by giving them access to the documentation MCP server.