fabric-analytics skillA
fabric-analytics is agent-read markdown (skill) from jnpiyush/agentx: Build data engineering and analytics solutions on Microsoft Fabric - Lakehouse, Warehouse, Spark notebooks, data pipelines, and semantic models. Use when creating Fabric Lakehouses, writing PySpark notebooks, building data pipelines, designing semantic models, or querying OneLake storage..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Fabric Analytics > Unified analytics platform on OneLake - data engineering, warehousing, notebooks, pipelines, and semantic models. ## When to Use - Building data lakehouses with medallion architecture (Bronze -> Silver -> Gold) - Creating or querying Fabric Warehouses with T-SQL - Developing PySpark notebooks for data transformation - Orchestrating ETL/ELT with data pipelines - Building semantic models for Power BI (DirectLake mode) - Querying data via SQL endpoints or DAX ## Decision Tree ``` Working with Microsoft Fabric? +- Need storage layer? | +- Semi-structured / schema evolution -> Lakehouse | +- Full T-SQL / stored procs / DML -> Warehouse | - Unsure -> Start with Lakehouse (more flexible) +- Need data transformation? | +- Simple data copy -> Pipeline Copy Activity | +- Light transforms (300+ built-in) -> Dataflow Gen2 | - Complex logic / ML / custom code -> Spark Notebook +- Need orchestration? | - Pipeline with activities + dependencies +- Need reporting layer? | - Semantic Model with DirectLake mode - Need conversational analytics? - See: fabric-data-agent skill ``` ## Core Concepts ### OneLake & Delta Format …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/fabric-analytics@v1.0.0mdr add jnpiyush/agentx/fabric-analytics@sha256:c3c05eb52d7c7491Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_fw3kxchmkzkmgw3z)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-15 | f17c505 | 12,203 B | A | view · diff |
| v1.0.0 | 2026-04-04 | 1693004 | 12,201 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 12,201 B | A | view · diff |
| v1.0.0 | 2026-02-28 | aa03a2e | 10,816 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12203 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jnpiyush/agentx · 16 stars · license Apache-2.0 · pushed 2026-09-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_fw3kxchmkzkmgw3z GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/fabric-analytics GET https://markdownregistry.com/api/v1/blob/c3c05eb52d7c7491568e4b8d0abb640df6fea10ef446c99b21366bece961d8b8
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