Accelerate Data
Official@accelerate-data · Singapore
We make data products governed
Agent Skills by Accelerate Data
Showing 44 vetted skills indexed across 4 GitHub repositories.
fabric-mcp
Configure and manage the Microsoft Fabric MCP Server for API access.
fabric-cli-onelake
Manage OneLake file operations through fabric-cli commands.
fabric-cli-pipeline
Automate Fabric CLI operations for managing DataPipeline items.
fabric-cli-notebook
Manage and execute Microsoft Fabric notebooks using the Fabric CLI.
fabric-cli-basics
Manage workspaces, items, and CLI configuration for Microsoft Fabric.
fabric-cli-lakehouse
Manage Fabric lakehouses and Delta tables with Fabric CLI commands.
dlt-rest-api-connector
Ingest REST API data into Azure Data Lake Storage Gen2 and Microsoft Fabric lakehouses.
modeling-revenue-recognition
Automate ASC 606 revenue recognition modeling in dbt on Microsoft Fabric.
dbt-semantic-layer
Automate dbt Semantic Layer model and MetricFlow metric management on Microsoft Fabric.
dbt-snapshot-scd2
Automate SCD Type 2 snapshot creation and management in dbt on Microsoft Fabric.
dbt-fabric-patterns
Provide best practices for dbt projects on Microsoft Fabric.
elementary-data-quality
Automate anomaly detection and schema validation for Microsoft Fabric data quality monitoring.
salesforce-extraction
Extract Salesforce data into dbt models on Microsoft Fabric.
adding-roadmap-item
Add prioritized roadmap items to Linear with metadata and label matching.
maintaining-user-flows
Manage user flow documentation, labels, and issue tracking across sheets and Linear.
implementing-linear-issue
Set up branches and worktrees for Linear issue isolation.
raising-linear-pr
Automate GitHub PR creation linked to Linear issues and status updates.
maintaining-github-repos
Analyze GitHub repository health, activity, and maintenance signals using gh CLI and Python 3.
adversarial-review
Simulate opposing-model reviewers to critique code and design documents.
closing-linear-issue
Close linked issues and clean up branches after pull request merges.
creating-linear-issue
Draft structured Linear issues with problem, goal, criteria, and risks.
yolo
Automate feature delivery from issue creation to pull request.
writing-tests
Construct behavior-driven unit tests to validate core functionalities and prevent regressions.
explaining-code
Explain code snippets and architectures with step-by-step walkthroughs and analogies.
Frequently Asked Questions About Accelerate Data
FAQPage SchemaWhat specific data engineering tasks are supported by these capabilities?▼
These capabilities enable automated dbt model refactoring, generation of Fabric semantic models, SCD Type 2 snapshot management, and ASC 606 revenue recognition modeling. Users can also perform catalog-backed table profiling, anomaly detection via data quality monitoring, and structured test generation for warehouse migration projects.
Which technical personas benefit most from these data management skills?▼
Data engineers, analytics engineers, and warehouse architects working within the Microsoft Fabric ecosystem benefit most. These skills are designed for professionals managing complex dbt projects, semantic layer definitions, and enterprise-grade data pipelines who require rigorous validation and standardized model documentation.
What are the primary prerequisites for implementing these data modeling skills?▼
Implementation requires an active dbt project environment, access to Microsoft Fabric workspaces, and configured catalog metadata. Users must have established connectivity to their data lakehouse and appropriate permissions to manage semantic models, DAX measures, and repository-linked issue tracking systems.