fabric-icons
Search and fetch official Microsoft Fabric / Azure SVG icons for use in diagrams, documentation, and UI. Use when building architecture diagrams (HTML, PPTX, or any visual format) that need icons for Fabric concepts like Lakehouse, Data Warehouse, Pipeline, Eventhouse, Power BI, OneLake, Dataflow...
Full skill instructions
175 official Microsoft Fabric SVG icons with metadata.
Run the search script instead of reading the full index (saves context):
python3 scripts/search_icons.py "<query>" [limit]
Examples:
python3 scripts/search_icons.py "lakehouse"
python3 scripts/search_icons.py "pipeline" 5
python3 scripts/search_icons.py "streaming kql"
Returns matching icons as JSON with id, name, description, tags, and url. Use the url field directly as an image source.
For bulk operations or browsing all icons, read references/index.json.
{
"id": "lakehouse",
"name": "Lakehouse",
"description": "Lakehouse database built over a data lake for big data processing with Apache Spark and SQL",
"tags": ["data", "lakehouse", "storage"],
"filename": "lakehouse_48_item.svg",
"url": "https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
}
<img src="https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
alt="Lakehouse" width="48" height="48" />
Download the SVG from the url and add it as a picture:
from pptx import Presentation
from pptx.util import Inches
import urllib.request, tempfile, os
url = "https://raw.githubusercontent.com/AlahmadiQ8/icons/main/icons/lakehouse_48_item.svg"
tmp = tempfile.NamedTemporaryFile(suffix=".svg", delete=False)
urllib.request.urlretrieve(url, tmp.name)
prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[6])
slide.shapes.add_picture(tmp.name, Inches(1), Inches(1), Inches(1), Inches(1))
os.unlink(tmp.name)
Key Fabric items: lakehouse, data_warehouse, pipeline, notebook, dataflow_gen2, eventstream, event_house, kql_database, semantic_model, report, dashboard, sql_database, spark_job_direction, model, experiments, environment, copilot, reflex, datamart, copy_job
Workloads: fabric, data_engineering, data_factory, data_science, real_time_intelligence, power_bi, databases, industry_solutions
Storage: one_lake, lakehouse, data_warehouse, sql_database
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