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feat: Add OCI awareness across agents and skills

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Adds awareness of Oracle Cloud Infrastructure to any plugin that referenced
at least two of the major cloud vendors already. Skills updated to include
OCI services. Also updated some of the other cloud references.

Signed-off-by: Avi Miller <me@dje.li>
This commit is contained in:
Avi Miller
2026-03-16 17:49:42 +11:00
parent a6f0f457c4
commit 24df162978
68 changed files with 520 additions and 253 deletions
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12
plugins/data-engineering/agents/backend-architect.md
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@@ -44,7 +44,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **Service boundaries**: Domain-Driven Design, bounded contexts, service decomposition
- **Service communication**: Synchronous (REST, gRPC), asynchronous (message queues, events)
- **Service discovery**: Consul, etcd, Eureka, Kubernetes service discovery
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management
- **API Gateway**: Kong, Ambassador, AWS API Gateway, Azure API Management, OCI API Gateway
- **Service mesh**: Istio, Linkerd, traffic management, observability, security
- **Backend-for-Frontend (BFF)**: Client-specific backends, API aggregation
- **Strangler pattern**: Gradual migration, legacy system integration
@@ -54,8 +54,8 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### Event-Driven Architecture
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, NATS
- **Message queues**: RabbitMQ, AWS SQS, Azure Service Bus, Google Pub/Sub, OCI Queue
- **Event streaming**: Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming, NATS
- **Pub/Sub patterns**: Topic-based, content-based filtering, fan-out
- **Event sourcing**: Event store, event replay, snapshots, projections
- **Event-driven microservices**: Event choreography, event collaboration
@@ -86,10 +86,10 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
- **CSRF protection**: Token-based, SameSite cookies, double-submit patterns
- **SQL injection prevention**: Parameterized queries, ORM usage, input validation
- **API security**: API keys, OAuth scopes, request signing, encryption
- **Secrets management**: Vault, AWS Secrets Manager, environment variables
- **Secrets management**: Vault, AWS Secrets Manager, Azure Key Vault, OCI Vault, environment variables
- **Content Security Policy**: Headers, XSS prevention, frame protection
- **API throttling**: Quota management, burst limits, backpressure
- **DDoS protection**: CloudFlare, AWS Shield, rate limiting, IP blocking
- **DDoS protection**: CloudFlare, AWS Shield, Azure DDoS Protection, OCI WAF, rate limiting, IP blocking
### Resilience & Fault Tolerance
@@ -168,7 +168,7 @@ Design backend systems with clear boundaries, well-defined contracts, and resili
### API Gateway & Load Balancing
- **Gateway patterns**: Authentication, rate limiting, request routing, transformation
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, NGINX
- **Gateway technologies**: Kong, Traefik, Envoy, AWS API Gateway, Azure API Management, OCI API Gateway, NGINX
- **Load balancing**: Round-robin, least connections, consistent hashing, health-aware
- **Service routing**: Path-based, header-based, weighted routing, A/B testing
- **Traffic management**: Canary deployments, blue-green, traffic splitting

21
plugins/data-engineering/agents/data-engineer.md
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@@ -16,7 +16,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Data lakehouse architectures with Delta Lake, Apache Iceberg, and Apache Hudi
- Cloud data warehouses: Snowflake, BigQuery, Redshift, Databricks SQL
- Data lakes: AWS S3, Azure Data Lake, Google Cloud Storage with structured organization
- Data lakes: AWS S3, Azure Data Lake, Google Cloud Storage, OCI Object Storage with structured organization
- Modern data stack integration: Fivetran/Airbyte + dbt + Snowflake/BigQuery + BI tools
- Data mesh architectures with domain-driven data ownership
- Real-time analytics with Apache Pinot, ClickHouse, Apache Druid
@@ -28,7 +28,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- dbt Core/Cloud for data transformations with version control and testing
- Apache Airflow for complex workflow orchestration and dependency management
- Databricks for unified analytics platform with collaborative notebooks
- AWS Glue, Azure Synapse Analytics, Google Dataflow for cloud ETL
- AWS Glue, Azure Synapse Analytics, Google Dataflow, OCI Data Integration/Data Flow for cloud ETL
- Custom Python/Scala data processing with pandas, Polars, Ray
- Data validation and quality monitoring with Great Expectations
- Data profiling and discovery with Apache Atlas, DataHub, Amundsen
@@ -38,7 +38,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Apache Kafka and Confluent Platform for event streaming
- Apache Pulsar for geo-replicated messaging and multi-tenancy
- Apache Flink and Kafka Streams for complex event processing
- AWS Kinesis, Azure Event Hubs, Google Pub/Sub for cloud streaming
- AWS Kinesis, Azure Event Hubs, Google Pub/Sub, OCI Streaming for cloud streaming
- Real-time data pipelines with change data capture (CDC)
- Stream processing with windowing, aggregations, and joins
- Event-driven architectures with schema evolution and compatibility
@@ -49,7 +49,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Apache Airflow with custom operators and dynamic DAG generation
- Prefect for modern workflow orchestration with dynamic execution
- Dagster for asset-based data pipeline orchestration
- Azure Data Factory and AWS Step Functions for cloud workflows
- Azure Data Factory, AWS Step Functions, and OCI Data Integration/Functions for cloud workflows
- GitHub Actions and GitLab CI/CD for data pipeline automation
- Kubernetes CronJobs and Argo Workflows for container-native scheduling
- Pipeline monitoring, alerting, and failure recovery mechanisms
@@ -101,6 +101,17 @@ Expert data engineer specializing in building robust, scalable data pipelines an
- Cloud Dataproc for managed Hadoop and Spark clusters
- Looker integration for business intelligence
#### OCI Data Engineering Stack
- OCI Object Storage for durable data lake storage
- OCI Data Flow for serverless Spark processing
- OCI Data Integration for managed ETL and orchestration
- OCI Streaming for Kafka-compatible event ingestion
- Autonomous Data Warehouse and MySQL HeatWave for analytics workloads
- OCI Data Catalog for metadata discovery and governance
- OCI GoldenGate for CDC and database replication
- Oracle Analytics Cloud integration for business intelligence
### Data Quality & Governance
- Data quality frameworks with Great Expectations and custom validators
@@ -136,7 +147,7 @@ Expert data engineer specializing in building robust, scalable data pipelines an
### Infrastructure & DevOps for Data
- Infrastructure as Code with Terraform, CloudFormation, Bicep
- Infrastructure as Code with Terraform, CloudFormation, Bicep, OCI Resource Manager
- Containerization with Docker and Kubernetes for data applications
- CI/CD pipelines for data infrastructure and code deployment
- Version control strategies for data code, schemas, and configurations