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Data access performance in .NET v1.0.0

Use this resource to optimise .NET data access with EF Core or Dapper

New

  • 426 downloads
  • 141 likes
  • 211 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install database-access-performance

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent separates read and write types, replaces N+1 queries with batches, applies a configurable limit and turns off tracking for reads. It also explains pagination with EF Core.

Mostly picked by

Updated November 2, 2026

Card for the “Data access performance in .NET” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: principles and read and write separation
  • SKILL.md: row limits, pagination and AsNoTracking

Good fit for

  • A page shows slow results because of repeated queries.
  • You choose between EF Core and Dapper for a read layer.

Not for

    Tags

    • database
    • performance
    • efcore
    • dapper

    About

    You say

    “This endpoint is slow: find the N+1 queries and suggest pagination.”

    Card for the “Data access performance in .NET” skill

    Skill published by aaronontheweb under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to optimise .NET data access with EF Core or Dapper
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md14.2 KB

    Origin and licence

    Listed unmodified

    Author
    aaronontheweb
    Source
    github.com/aaronontheweb/dotnet-skills/tree/5ca5db8cf25566f19d2a5dc53204d4af22b23a0d/skills/database-performance
    Licence
    MIT

    Notice

    « database-performance » (aaronontheweb, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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