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Found 37 Skills
This skill should be used when the user asks to "discovery", "discover", "probe", "sensor", "identification", "discovery schedule", "MID server", "network scan", or any ServiceNow Discovery development.
This skill should be used when the user asks to "GRC", "governance", "risk", "compliance", "audit", "policy", "control", "risk assessment", "SOX", "GDPR", or any ServiceNow GRC development.
This skill should be used when the user asks to "event", "sysevent", "event queue", "trigger notification", "gs.eventQueue", "event-based", "system event", or any ServiceNow Event and Notification triggering development.
This skill should be used when the user asks to "import", "export", "data migration", "XML", "Excel", "CSV", "bulk load", "data transfer", or any ServiceNow Import/Export development.
This skill should be used when the user asks to "create flow", "Flow Designer", "workflow automation", "subflow", "action", "flow trigger", "scheduled flow", or any ServiceNow Flow Designer development.
This skill should be used when the user asks to "IntegrationHub", "spoke", "flow action", "integration", "subflow", "connection alias", "credential alias", "REST step", or any ServiceNow IntegrationHub development.
This skill should be used when the user asks to "query records", "GlideRecord", "database query", "get records", "update records", "insert record", "delete record", or any ServiceNow database operations.
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, configures VPC, and tests. Triggers on: connect to database, set up Glue connection, register data source, connect to Snowflake/BigQuery/RDS, connection timeout, test connection, troubleshoot connection. Do NOT use for moving data (use ingesting-into-data-lake), creating tables (use creating-data-lake-table), queries (use querying-data-lake), catalog exploration (use exploring-data-catalog), or SaaS (Salesforce, ServiceNow, SAP, MongoDB, Kafka).
Genesys Cloud CX platform help — enterprise CCaaS with AI-powered experience orchestration, omnichannel ACD routing (voice + digital), Architect IVR/flow builder, workforce management (WFM forecasting/scheduling/adherence), quality management (evaluations/scoring), predictive routing, agent assist, virtual agents, outbound dialer, Interaction Analytics, AppFoundry marketplace (450+ apps), REST Platform API with OAuth 2.0 and 15 regional endpoints, deep Salesforce integration (CX Cloud joint product + Service Cloud Voice BYOT), 4 tiers CX1 $75/CX2 $115/CX3 $155/CX4 $240 per user/mo + telephony minutes. Use when setting up Genesys Cloud routing or Architect flows, WFM forecasting not matching actual volume, quality management evaluations not triggering coaching, dropped calls or audio quality issues, comparing Genesys pricing tiers, integrating Genesys with Salesforce or ServiceNow, Genesys reporting hard to navigate, MFA management confusing, Genesys API integration, or evaluating enterprise CCaaS platforms. Do NOT use for building a general coaching program (use /sales-coaching) or comparing CCaaS platforms (use /sales-ccaas-selection).
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Perspectium integration. Manage data, records, and automate workflows. Use when the user wants to interact with Perspectium data.
This skill should be used when the user asks about "available tools", "what tools", "how to find tools", "tool search", "MCP servers", "list tools", "discover tools", "which tools", or needs guidance on discovering and using Snow-Flow MCP tools.