fabric-lakehouse-perf-remediate
Diagnose and resolve Microsoft Fabric Lakehouse performance issues including slow Spark queries, small file problems, Delta table fragmentation, V-Order…
Sorting a stream of records into a picture
What it does
Systematic toolkit for diagnosing and resolving performance issues in Microsoft Fabric Lakehouse environments. Covers Delta table health, Spark compute tuning, query optimization, and automated maintenance workflows.
Use when asked to
You don’t need to name it. Ask for the job in your own words — your AI loads the skill when the request matches.
What it can touch
Includes 4 scripts
Your AI can run these when the skill is used — on your computer in a coding tool (which asks first unless you have told it not to), or in the AI’s own sandbox in Claude and ChatGPT.
How we know
Found in the skill’s folder: scripts/Get-DeltaTableHealth.ps1, scripts/Invoke-FabricTableMaintenance.ps1, templates/maintenance-notebook.py, templates/perf-diagnostic-notebook.py.
Mentions an outside service
The instructions point your AI at these sites or APIs. Anything it sends there leaves your computer.
How we know
Web addresses in the SKILL.md, excluding GitHub and documentation sites: api.fabric.microsoft.com.
Its code sends data over the internet
A script in it uploads or posts data. That is normal for a skill that talks to a service — check that the address is the service you expect.
How we know
references/rest-api-maintenance.md line 174: “$response = Invoke-WebRequest -Uri $uri -Method Post -Headers $headers -Body $body”. Read 2026-10-04, commit cee03dc.
references/rest-api-maintenance.md, line 174 ↗No known risk pattern found
Launch7’s automated check read all 10 text files in this skill and matched none of its risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-04, commit cee03dc by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Updated this year
Its repository has had changes recently.
How we know
Last push to PatrickGallucci/fabric-skills: 2026-06-07 (119 days before the scan).
Read automatically from the skill’s own files on GitHub on 4 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Partly. Upload it in Claude’s settings — the instructions work; the scripts need the full folder.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
This skill ships 4 scripts beside its instructions. The download here is the SKILL.md alone — enough for the instructions, not for the parts that run code. Use the command route, or take the full folder from the repository.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
More from PatrickGallucci
All from this publisher →- fabric-data-agent
Create, configure, and manage Microsoft Fabric Data Agents that enable natural language Q&A over lakehouses, warehouses, Power BI semantic models, KQL…
- fabric-data-agent-perf-remediate
Diagnose and resolve Microsoft Fabric Data Agent performance issues including slow query generation, capacity throttling (HTTP 430), Spark session startup…
- fabric-data-agent-remediate
Diagnose and resolve Microsoft Fabric Data Agent issues including tenant settings, data source configuration, query generation failures, cross-region…
- fabric-data-factory-perf-remediate
Diagnose and resolve Microsoft Fabric Data Factory pipeline performance issues.
- fabric-delta-spark-perf
Troubleshoot and optimize Delta Lake and Apache Spark performance in Microsoft Fabric.
