Skill UI

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

Aggregates performance metrics from applications, systems, databases, caches, queues, and external services into a central platform, helping teams define a consistent taxonomy, choose aggregation tools, and create dashboards and alerts for faster monitoring and troubleshooting.

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Analyzes query workloads with the database-index-advisor plugin to spot missing or unused indexes and recommends creations or removals to boost performance and reclaim storage.

Analyzes query workloads with the database-index-advisor plugin to spot missing or unused indexes and recommends creations or removals to boost performance and reclaim storage.

Enables Claude to examine EXPLAIN plans, spot slow queries or missing indexes, and deliver concrete optimization steps—ideal for improving database query speed and resource usage when performance issues arise.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

Automates database backups by generating compression/encryption scripts, scheduling cron jobs, and documenting restore procedures for PostgreSQL, MySQL, MongoDB, and SQLite whenever backup automation or disaster recovery planning is requested.

Automates database backups by generating compression/encryption scripts, scheduling cron jobs, and documenting restore procedures for PostgreSQL, MySQL, MongoDB, and SQLite whenever backup automation or disaster recovery planning is requested.

Automate the rotation of sensitive credentials, including RDS database passwords, API keys, and OAuth tokens, using AWS Secrets Manager and Lambda. This skill ensures secure credential lifecycle management, helping maintain system security and compliance by automatically updating credentials for various AWS and third-party services.