Databases Agent Skills for OpenAI Agents SDK

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL…

Designs Zod schemas following Zod-first development.

Exports 1C:Enterprise configurations to XML source files for version control and development analysis.

Creates and initializes 1C:Enterprise 8.3 information bases using automated command-line workflows.

Manages 1C:Enterprise database registries and connection parameters for streamlined development workflows.

Automates the application of configuration changes to 1C:Enterprise 8.3 databases using the UpdateDBCfg command.

Analyzes and summarizes 1C:Enterprise Data Composition System (SKD) schemas to simplify report development and debugging.

Use Redis effectively for caching, pub/sub messaging, rate limiting, distributed locks, and session storage.

Aarondb

Taxonomy of ACSet skills with morphisms to semantically similar categorical/relational skills

Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers.

Comprehensive guide for migrating PostgreSQL tables to TimescaleDB hypertables with optimal configuration and performance validation

Use when adding a new scenario to remindb's benchmark suite — symptoms include "compare X tool against grep/cat", "add a token-savings…

Use when adding a new file format to remindb's parser package — symptoms include "support .toml/.csv/.xml files", "ingest a new file…

Use when creating a new database table, entity, or data model.

Adhd Ecs Olog

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and…

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and…

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

AgentDB Vector Search Optimization operates on 3 fundamental principles: