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Accelerate Data

Official

@accelerate-data · Singapore

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33Public Repos
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44Published Skills

We make data products governed

Skills Distribution
DomainData Systems...Data Warehouse Eng.. (40%)Semantic Modeling (30%)Project Lifecycle .. (30%)

Agent Skills by Accelerate Data

Showing 44 vetted skills indexed across 4 GitHub repositories.

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fabric-mcp

Configure and manage the Microsoft Fabric MCP Server for API access.

Official
Advanced
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fabric-cli-onelake

Manage OneLake file operations through fabric-cli commands.

Official
Intermediate
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fabric-cli-pipeline

Automate Fabric CLI operations for managing DataPipeline items.

Official
Intermediate
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fabric-cli-notebook

Manage and execute Microsoft Fabric notebooks using the Fabric CLI.

Official
Intermediate
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fabric-cli-basics

Manage workspaces, items, and CLI configuration for Microsoft Fabric.

Official
Intermediate
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fabric-cli-lakehouse

Manage Fabric lakehouses and Delta tables with Fabric CLI commands.

Official
Intermediate
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dlt-rest-api-connector

Ingest REST API data into Azure Data Lake Storage Gen2 and Microsoft Fabric lakehouses.

Official
Advanced
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modeling-revenue-recognition

Automate ASC 606 revenue recognition modeling in dbt on Microsoft Fabric.

Official
Advanced
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dbt-semantic-layer

Automate dbt Semantic Layer model and MetricFlow metric management on Microsoft Fabric.

Official
Advanced
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dbt-snapshot-scd2

Automate SCD Type 2 snapshot creation and management in dbt on Microsoft Fabric.

Official
Advanced
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dbt-fabric-patterns

Provide best practices for dbt projects on Microsoft Fabric.

Official
Advanced
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elementary-data-quality

Automate anomaly detection and schema validation for Microsoft Fabric data quality monitoring.

Official
Advanced
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salesforce-extraction

Extract Salesforce data into dbt models on Microsoft Fabric.

Official
Advanced
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adding-roadmap-item

Add prioritized roadmap items to Linear with metadata and label matching.

Official
Intermediate
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maintaining-user-flows

Manage user flow documentation, labels, and issue tracking across sheets and Linear.

Official
Intermediate
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implementing-linear-issue

Set up branches and worktrees for Linear issue isolation.

Official
Advanced
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raising-linear-pr

Automate GitHub PR creation linked to Linear issues and status updates.

Official
Intermediate
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maintaining-github-repos

Analyze GitHub repository health, activity, and maintenance signals using gh CLI and Python 3.

Official
Intermediate
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adversarial-review

Simulate opposing-model reviewers to critique code and design documents.

Official
Intermediate
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closing-linear-issue

Close linked issues and clean up branches after pull request merges.

Official
Intermediate
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creating-linear-issue

Draft structured Linear issues with problem, goal, criteria, and risks.

Official
Intermediate
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yolo

Automate feature delivery from issue creation to pull request.

Official
Advanced
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writing-tests

Construct behavior-driven unit tests to validate core functionalities and prevent regressions.

Official
Intermediate
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explaining-code

Explain code snippets and architectures with step-by-step walkthroughs and analogies.

Official
Basic

Frequently Asked Questions About Accelerate Data

FAQPage Schema
What 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.