1---2name: db-23description: Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, Oracle Vector SDK, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use Oracle VecDB through the Python SDK, REST API, or DBMS_VECTOR_DATABASE package; use SQLcl, Liquibase, ORDS, JDBC, node-oracledb, Python, Java, .NET, or database frameworks; troubleshoot vector tables, embeddings, vector search, reranking, queries, sessions, locks, waits, indexes, optimizer plans, AWR, ASH, migrations, schemas, users, roles, privileges, backup, recovery, Data Guard, RAC, multitenant, containers, monitoring, auditing, encryption, VPD, or safe agent database operations.4---56# Oracle Database Skills78This domain contains Oracle Database skills for administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, VecDB SDK/REST/PL/SQL workflows, OCR container guidance, and agent-safe database workflows.910## How to Use This Domain11121. Start with the routing table below.132. Read only the specific file or category you need.1415## Directory Structure1617```text18db/19├── admin/20├── agent/21├── appdev/22├── architecture/23├── backup-recovery/24├── containers/25├── design/26├── devops/27├── features/28├── frameworks/29├── migrations/30├── monitoring/31├── ords/32├── performance/33├── plsql/34├── security/35├── sql-dev/36├── sqlcl/37└── vecdb/38```3940## Category Routing4142| Topic | Directory |43|-------|-----------|44| Data Guard, redo/undo logs, users | `db/admin/` |45| Safe DML, destructive operation guards, idempotency, schema discovery, ORA- error handling | `db/agent/` |46| JDBC, Python, .NET, pooling, JSON, XML, spatial, Oracle Text, transactions, MLE, language drivers | `db/appdev/` |47| RAC, Multitenant, Exadata, In-Memory, OCI database services, Data Guard architecture | `db/architecture/` |48| Backup, recovery, RMAN, Autonomous Recovery Service, Cloud Protect | `db/backup-recovery/` |49| OCR database-category container images and pull guidance | `db/containers/` |50| ERD, data modeling, partitioning, tablespaces | `db/design/` |51| Schema migrations, online operations, edition-based redefinition, testing, version control | `db/devops/` |52| AQ, DBMS_SCHEDULER, materialized views, DBLinks, APEX, vector search, SELECT AI | `db/features/` |53| SQLAlchemy, Django, Pandas, Spring JPA, MyBatis, TypeORM, Sequelize, Dapper, GORM | `db/frameworks/` |54| Migrations from PostgreSQL, MySQL, SQL Server, MongoDB, Snowflake, and more | `db/migrations/` |55| Alert log, ADR, health monitor, space management, top SQL | `db/monitoring/` |56| ORDS architecture, installation, REST design, authentication, monitoring, ORDS Concert Sample App | `db/ords/` |57| AWR, ASH, explain plan, indexes, optimizer stats, wait events, memory | `db/performance/` |58| Package design, error handling, performance, collections, cursors, debugging | `db/plsql/` |59| Privileges, Deep Data Security, VPD, masking, auditing, encryption, network security | `db/security/` |60| SQL tuning, SQL patterns, dynamic SQL, injection avoidance | `db/sql-dev/` |61| SQLcl basics, scripting, Liquibase, formatting, DDL generation, data loading, MCP server, scheduler daemon, AWR, background jobs, schema comparison with DIFF | `db/sqlcl/` |62| Oracle Vector SDK setup and configuration, including database preparation, Python SDK, REST API, PL/SQL package, version prerequisites, vector tables, ingestion, models, search, reranking, indexes, and jobs | `db/vecdb/` |6364## Key Starting Points6566- `db/sqlcl/sqlcl-mcp-server.md`67- `db/migrations/migration-assessment.md`68- `db/performance/explain-plan.md`69- `db/plsql/plsql-package-design.md`70- `db/appdev/java-oracle-jdbc.md`71- `db/devops/schema-migrations.md`72- `db/security/deep-data-security.md`73- `db/agent/schema-discovery.md`74- `db/containers/container-selection-matrix.md`75- `db/backup-recovery/autonomous-recovery-service.md`76- `db/backup-recovery/cloud-protect.md`77- `db/vecdb/vecdb-provisioning.md`78- `db/vecdb/vecdb-architecture.md`7980## Common Multi-Step Flows8182| Task | Recommended Sequence |83|------|----------------------|84| Diagnose a slow query | `explain-plan` → `wait-events` → `optimizer-stats` → `awr-reports` |85| Plan a migration | `migration-assessment` → `oracle-migration-tools` → source-specific `migrate-*.md` → `migration-cutover-strategy` |86| Build RAG on Oracle Database | `ai-profiles` → `vector-search` → `dbms-vector` |87| Build a Java JDBC service | `java-oracle-jdbc` → `java-oracle-jdbc/dependencies` → `java-oracle-jdbc/connections` → `java-oracle-jdbc/sql` → `java-oracle-jdbc/pooling-production` |88| Perform agent-safe schema change | `schema-discovery` → `destructive-op-guards` → `idempotency-patterns` → `schema-migrations` |89| Set up AI-driven database access via MCP | `security/deep-data-security` (end-user authorization) → `sqlcl-basics` (save connections) → `sqlcl-mcp-server` (configure + start) |90| Set up an Oracle Vector SDK database deployment | `vecdb-provisioning` → Oracle Vector SDK Quick Start → **Prepare an AI Database** |91| Build vector-based applications for semantic search, RAG, or recommendations using Oracle Vector SDK's fixed-schema APIs through the Python SDK, REST, or PL/SQL | `vecdb-architecture` → `vecdb-api-reference` → relevant capability file (`vecdb-models`, `vecdb-vector-tables`, `vecdb-search`, or `vecdb-indexes`) |
Oracle