skills/codex/application-integration/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: application-integration description: Google Cloud Application Integration and Integration Connectors for enterprise system connectivity. Use when connecting AI agents to SAP, Oracle, Salesforce, ServiceNow, Snowflake, or other enterprise systems via pre-built GCP connectors. --- # Google Cloud Application Integration Connect AI agents to enterprise systems using Google Cloud's 100+ pre-built Integration Connectors for SAP, Ora
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/application-integrationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Connect AI agents to enterprise systems using Google Cloud's 100+ pre-built Integration Connectors for SAP, Oracle, Salesforce, ServiceNow, Snowflake, and more.
| Category | Connectors | |---|---| | ERP | SAP ERP (RFC, BAPI), SAP S/4HANA (OData), Oracle ERP Cloud | | CRM | Salesforce, HubSpot, Dynamics 365 | | ITSM | ServiceNow | | Databases | Oracle DB, MySQL, PostgreSQL, SQL Server, MongoDB, Cloud SQL, AlloyDB, Spanner | | Data Platforms | Snowflake, BigQuery | | Messaging | Pub/Sub, Kafka, RabbitMQ | | Storage | Cloud Storage, S3, SFTP, FTP | | SaaS | Zendesk, Workday, Slack | | Protocols | REST, SOAP, gRPC, GraphQL |
# Integration connector configuration for SAP S/4HANA
connection:
connector: sap
connection_type: OData
properties:
sap_client: "100"
odata_service_url: "https://sap-s4.example.com/sap/opu/odata/sap/API_SALES_ORDER_SRV"
authentication:
type: basic
username_secret: "projects/my-project/secrets/sap-user/versions/latest"
password_secret: "projects/my-project/secrets/sap-password/versions/latest"
connection:
connector: oracle_db
properties:
host: "oracle-db.example.com"
port: 1521
service_name: "ORCL"
authentication:
type: basic
username_secret: "projects/my-project/secrets/oracle-user/versions/latest"
password_secret: "projects/my-project/secrets/oracle-password/versions/latest"
# Create an OpenAPI spec wrapping Integration Connector for use as Agent Builder tool
openapi_spec = {
"openapi": "3.0.0",
"info": {"title": "SAP Sales Orders", "version": "1.0.0"},
"servers": [{"url": "https://integrations.googleapis.com/v1/projects/MY_PROJECT/locations/us-central1/integrations/sap-sales-orders"}],
"paths": {
"/execute": {
"post": {
"operationId": "getSalesOrders",
"summary": "Get SAP sales orders by customer",
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"customer_id": {"type": "string", "description": "SAP customer number"},
"date_from": {"type": "string", "description": "Start date (YYYY-MM-DD)"},
},
}
}
}
},
}
}
},
}
SAP Sales Order Created
--> Cloud Pub/Sub (via connector event trigger)
--> Cloud Function
--> Vertex AI Gemini (analyze order, check for anomalies)
--> ServiceNow (create incident if anomaly detected, via connector)
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU