recommend-sku-sizing
Skill0 starsChanged 53 days agoMITView on GitHub
Collect performance data and calculate Azure SQL SKU recommendations only after the source is explicitly confirmed local/on-premises. Never use for a generic SKU request or bare server name; route unresolved requests through run-migration-assessment.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- microsoft/microsoft-sqledited, first seen Oct 13, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- microsoft/microsoft-sql★ 2275% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository18 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 3 are distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Use directly or from run-migration-assessment when a local/on-premises server needs performance-based Azure SQL sizing.
- Very specific: line 25
If the source is not explicit, do not ask for an instance name, output folder, credentials, collection duration, or target platform.
- Very specific: line 39
Run the host-specific lookup from references/command-execution.md.
- Distinctive: line 43
No result -> explain that performance collection is required and ask whether to continue.
- Distinctive: line 51
Use local server connection for missing connection details.
- Very specific: line 55
Use the parameter-alignment rule in references/command-execution.md.
- Very specific: line 60
Run the exact detached collection and SKU command from references/command-execution.md.
- Very specific: line 66
When requested, run the completion check from references/command-execution.md.
- Distinctive: line 80
Always ask for collection duration.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Recommend SKU Sizing
When to Use
Use directly or from run-migration-assessment when a local/on-premises server
needs performance-based Azure SQL sizing. Invoke after the server is confirmed
Local. Route Azure identifiers and unresolved servers through
run-migration-assessment.
Workflow
Step 0: Enforce Source Routing
Proceed only when the current conversation explicitly identifies the source as
Local or on-premises, or already provides local evidence such as an IP address,
connection string, or config file. The words SQL Server, server, or SKU
recommendation alone do not establish that the source is Local.
If the source is not explicit, do not ask for an instance name, output folder,
credentials, collection duration, or target platform. Invoke
run-migration-assessment so it can ask whether the source is Azure or Local.
Step 1: Check the Host and Confirm Inputs
Apply OS requirements, then
assessment prerequisites, before collecting local
inputs. Confirm the output folder with selectable Default
(%LOCALAPPDATA%\Microsoft\SqlAssessment) and Custom choices. Wait for the
answer and use the selected path.
Step 2: Check Existing Results
Run the host-specific lookup from references/command-execution.md.
- Existing result -> render it with its generation time and refresh only if explicitly requested.
- No result -> explain that performance collection is required and ask whether to continue.
SKU filenames are not instance-specific. Use a per-instance output folder to associate results with the selected server.
Step 3: Collect Parameters
Use local server connection for missing connection
details. Ask for collection duration with selectable 2-hour and 24-hour
(Recommended) options, plus "I don't want a SKU recommendation". Allow a custom
duration. Stop if the user declines. Convert the duration to seconds.
Use the parameter-alignment rule in references/command-execution.md. Do not start
a collection that cannot complete one persistence cycle.
Step 4: Start Collection
Run the exact detached collection and SKU command from
references/command-execution.md. Show the collection-started output from
assessment output.
Step 5: Check and Render Results
When requested, run the completion check from references/command-execution.md.
- Complete -> read the newest SKU JSON report when available. Extract only the recommended target's compute and storage configuration and populate those fields in the Skill Response Template in assessment output. Include readiness if readiness results are already available in the current conversation context. Otherwise omit the Migration Readiness section and show the SKU data only.
- Running -> show collection status.
- Stopped without time-series data -> report failure and show the log path.
Notes
- Confirm the output folder before checking files.
- Always ask for collection duration.
- Reuse existing performance data when the user returns.
- Static common counter files alone do not mean collection completed.
Error Handling
- Collection stops -> check connectivity and restart with the same folder.
- Output permission denied -> confirm write access or select another folder.
- Tool or extension unavailable -> follow assessment prerequisites.
References
references/command-execution.md- Local server connection
- OS requirements
- Assessment prerequisites
- Assessment output
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