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Optimize EF Core queries v1.0.0

Use this resource to review and optimize slow or chatty EF Core data access

New

  • 549 downloads
  • 117 likes
  • 176 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ef-core-query-optimization

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 traces the data access code without running it, confirms bottlenecks from SQL when it is available, then cuts round-trips, duplicated rows and full scans. It favors fixes that reduce queries over micro-optimizations.

Mostly picked by

Updated November 2, 2026

Card for the “Optimize EF Core queries” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: review workflow, SQL evidence and query counting
  • SKILL.md: fixes for N+1, Include, materialization and parameterization

Good fit for

  • A page sends hundreds of EF Core queries
  • A service loads a whole collection before filtering it

Not for

    Tags

    • ef core
    • sql
    • queries
    • performance

    About

    You say

    “This page runs 300 SQL queries. Review the EF Core code and fix the N+1 problems.”

    Card for the “Optimize EF Core queries” skill

    Skill published by dotnet 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 review and optimize slow or chatty EF Core data access
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md24 KB

    Origin and licence

    Listed unmodified

    Author
    dotnet
    Source
    github.com/dotnet/skills/tree/586f13f8d898a60583a3364f146a3b6f5a763164/plugins/dotnet-data/skills/optimizing-ef-core-queries
    Licence
    MIT

    Notice

    « optimizing-ef-core-queries » (dotnet, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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