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cccskills

'servicenow' 검색 결과

9건 · 관련도순

Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format without adding dependencies to the consumer's project. NOT for an Agentforce action's output — use agentforce/agent-actions. NOT for exporting Salesforce data — use integration/bulk-api-2-patterns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

PranavNagrecha/AwesomeSalesforceSkills192026년 10월 4일 업데이트

Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format WITHOUT polluting the consumer's project with new dependencies or regenerating from the agent's source logic. NOT for authoring new agent output formats (use DELIVERABLE_CONTRACT.md). NOT for data-export SOQL (use bulk-api-2-patterns).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aibot88/sec_skill_store52026년 5월 27일 업데이트

Build incident response dashboards that bring affected systems, containment progress, indicators of compromise, and response timelines into one view. Help security teams coordinate active incidents and prepare operational reports and executive briefings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Coordinating an active security incident
  • Tracking affected systems and containment
  • Reviewing response timelines after an incident
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Build a recurring vulnerability scanning process with Nessus, Qualys, or OpenVAS. Prioritize findings using asset importance and known exploitation, then organize remediation deadlines, monitoring dashboards, and automatic tickets for urgent issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Establish recurring infrastructure vulnerability scans
  • Prioritize fixes using asset importance and exploitation data
  • Track remediation deadlines and overdue findings
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Build dashboards and reports for security operations teams using incident and alert data. Track detection and resolution times, false alarms, analyst workload, and detection coverage to assess operational trends and the effects of improvement initiatives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preparing monthly or quarterly security operations reports
  • Reviewing analyst workload and shift staffing
  • Comparing performance before and after tool adoption
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

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).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3522026년 10월 18일 업데이트

Guides building and deploying Atlassian Forge Teamwork Graph connector apps that ingest external data into Atlassian's Teamwork Graph, making it searchable in Rovo Search and surfaced in Rovo Chat. Use when the user wants to build a Forge connector, ingest external data into Atlassian, connect a third-party tool (e.g. Google Drive, ServiceNow, Salesforce) to Atlassian, make external content searchable in Rovo, build a graph:connector module, use the @forge/teamwork-graph SDK, or implement onConnectionChange / validateConnection functions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

atlassian/forge-skills252026년 10월 17일 업데이트