data-import
Master ServiceNow data import using Import Sets, Transform Maps, and various data sources with robust error handling and performance optimization
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-26 00:15
Data & analytics
16,954 results
process-mining-insights
Generate process mining insights to identify inefficiencies, bottlenecks, compliance deviations, and optimization opportunities from ServiceNow process data
ui-generation
Generate platform UI components from natural language, including client scripts, data binding, event handlers, pages, and UI Builder experiences.
workspace-insights
Workplace service delivery insights including space utilization, service request patterns, facility management metrics, and desk booking analytics
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive…
metrics-queries
How to query OpenTelemetry metrics datasets in Honeycomb correctly. Metrics datasets follow different rules from trace/event datasets — many operations (bare…
data
(forwward) Designs analytics systems, writes SQL queries, plans event tracking, and builds dashboards for product and user metrics. Triggers on SQL, analytics,…
data-normalization-tool
Process data normalization tool operations. Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalization tool Part of the ML…
data-visualization-helper
Configure with data visualization helper operations. Auto-activating skill for Visual Content. Triggers on: data visualization helper, data visualization…
training-machine-learning-models
Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters,…
statistical-analysis
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted…
business-model-evaluator
Use when the user needs to evaluate whether the business model of a business/industry/company is good or bad. Typical triggers: the user says "Is this business worth doing" "Is this industry good for making money" "Does this company have a moat" "Why are some industries so hard yet unable to make money". Core tool: the three-stage recursive chain of differentiation → moat → pricing power, plus the quick verification method of "being able to raise prices = having a moat". Not applicable to: pure financial analysis (looking at financial report numbers), stock technical analysis, personal financial planning...
good-business
Activate this skill when the user needs to judge whether a company has a durable competitive advantage. Typical triggers: when analyzing a certain stock/company, the user asks "is this a good business," "is the moat deep enough," "can this business model keep making money"; or the user tries to evaluate a company starting from PE/financial metrics but cannot sort it out. Not applicable to: pure financial modeling (DCF calculation), companies already clearly outside the circle of competence (should first return to the circle of competence framework), short-term trading timing...
sparql-university
Guidance for writing SPARQL queries against RDF/Turtle datasets, particularly for university or academic data. This skill should be used when tasks involve…
mlb-playoff-scheduler
Counts MLB games per team during the Yahoo fantasy playoff window (weeks 21, 22, 23 -- Aug 17 through Sep 6, 2026) and grades the quality of each team's…
browser-use
Automate browser interactions for testing, form filling, screenshots, and data extraction.
earnings-preview
Prepare for an upcoming earnings report or earnings week by identifying the reports that matter, framing the key debates, and surfacing the read-through risk…
index-signature-alternatives
Use when defining object types with dynamic keys. Use when tempted to use index signatures. Use when parsing CSV or JSON data.
matlab-connect-databricks-jdbc
Connects MATLAB to Databricks using JDBC drivers via Database Toolbox. Use when creating a JDBC connection to a Databricks cluster or SQL Warehouse,…
agendor
Agendor integration. Manage data, records, and automate workflows. Use when the user wants to interact with Agendor data.
brightcove
Brightcove integration. Manage data, records, and automate workflows. Use when the user wants to interact with Brightcove data.
chocolatey
Chocolatey integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chocolatey data.
datarobot
Datarobot integration. Manage Projects, Users. Use when the user wants to interact with Datarobot data.
dolthub
DoltHub integration. Manage data, records, and automate workflows. Use when the user wants to interact with DoltHub data.