fabric-synthetic-data Skill
Generate and upload synthetic data to Microsoft Fabric lakehouse tables. Covers star-schema generation, realistic fake data (names, dates, IDs, transactions), configurable row counts, referential integrity between tables, Parquet export, and OneLake upload. Use when: synthetic data, test data, fake data, sample data, g Published by microsoft in gh-copilot-fabric-agents.
What is fabric-synthetic-data Skill?
Generate and upload synthetic data to Microsoft Fabric lakehouse tables. Covers star-schema generation, realistic fake data (names, dates, IDs, transactions), configurable row counts, referential integrity between tables, Parquet export, and OneLake upload. Use when: synthetic data, test data, fake data, sample data, g Published by microsoft in gh-copilot-fabric-agents. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Data analysis
- Testing use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use fabric-synthetic-data Skill
- Use it for testing.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/gh-copilot-fabric-agents
- Skill file: .github/skills/fabric-synthetic-data/SKILL.md
What it does
Generate and upload synthetic data to Microsoft Fabric lakehouse tables. Covers star-schema generation, realistic fake data (names, dates, IDs, transactions), configurable row counts, referential integrity between tables, Parquet export, and OneLake upload. Use when: synthetic data, test data, fake data, sample data, g
Skill instructions
Fabric Synthetic Data Generator — Reference Generates realistic synthetic data locally as Parquet files, then uploads them to a Fabric lakehouse as Delta tables. Designed for populating test/dev lakehouses with star-schema-compatible data. Data Domain Templates The agent should ask the user what domain they want. Common domains and their table structures: Retail / E-commerce | Table | Type | Key Columns | Sample Columns | |-------|------|-------------|----------------| | customers | dim | customerid | name, email, phone, city, country, registrationdate | | products | dim | productid | name, category, brand, price, cost | | stores | dim | storeid | name, city, country, openingdate | | dates | dim | dateid | date, year, quarter, month, monthname, day, dayofweek, isweekend | | orders | fact | orderid | customerid, storeid, dateid, totalamount, discount, tax | | orderlines | fact | orderlineid | orderid, productid, quantity, unitprice, linetotal | Healthcare | Table | Type | Key Columns |
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Frequently asked questions
What is fabric-synthetic-data?
fabric-synthetic-data is a open-source AI agent skill with Copy skill directory. Generate and upload synthetic data to Microsoft Fabric lakehouse tables. Covers star-schema generation, realistic fake data (names, dates, IDs, transactions), configurable row counts, referential.
Who is fabric-synthetic-data best for?
fabric-synthetic-data is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.
How do I install fabric-synthetic-data?
Install or run fabric-synthetic-data using Copy skill directory. Check fabric-synthetic-data for the latest setup command.
Is fabric-synthetic-data actively maintained?
fabric-synthetic-data may need a closer maintenance check before production use.
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