database-performance

database-performance is a skill for Claude Code, Codex from ComeOnOliver/skillshub. It costs 44 tokens per session (3,274 once invoked), scanned A, a copy of database-performance, MIT.

A guide to accessing databases efficiently with EF Core and Dapper, two .NET tools for working with database data. It covers separate models for reading and writing, limited results, batched queries, and database-side joins.

In plain words
What is it for?
Use it when designing data access, investigating slow database operations, or choosing patterns for EF Core and Dapper applications.
Why use it?
It helps prevent slow queries, repeated database requests for related records, excessive data retrieval, and unnecessary tracking of read-only data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing data access, investigating slow database operations, or choosing patterns for EF Core and Dapper applications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/comeonoliver/skillshub/database-performance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ComeOnOliver/skillshub --skill database-performance
Clone the repo
git clone --depth 1 https://github.com/ComeOnOliver/skillshub

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for database-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/comeonoliver/skillshub/database-performance/github.svg)](https://agentmods.dev/skills/comeonoliver/skillshub/database-performance)
Your own site
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/database-performance"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/database-performance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for database-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/database-performance"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/database-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.03274
Opus 5.5 $0.00018 $0.01310
Sonnet 5.5 $0.00009 $0.00655
Haiku 4.5 $0.00004 $0.00327

Measured 1mo ago against content hash a2d5397783b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

database-performance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to database-performance — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/Aaronontheweb/dotnet-skills/database-performance/SKILL.md · 507 lines

How it starts

The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Database Performance Patterns

When to Use This Skill

Use this skill when:

  • Designing data access layers
  • Optimizing slow database queries
  • Choosing between EF Core and Dapper
  • Avoiding common performance pitfalls

Core Principles

  1. Separate read and write models - Don't use the same types for both
  2. Think in batches - Avoid N+1 queries
  3. Only retrieve what you need - No SELECT *
  4. Apply row limits - Always have a configurable Take/Limit
  5. Do joins in SQL - Never in application code
  6. AsNoTracking for reads - EF Core change tracking is expensive

Read/Write Model Separation (CQRS Pattern)

Read and write models are fundamentally different - they have different shapes, columns, and purposes. Don't create a single "User" entity and reuse it everywhere.

  • Read models are denormalized, optimized for query efficiency, and return multiple projection types (UserProfile, UserSummary, UserDetailForAdmin)
  • Write models are normalized, validation-focused, and accept strongly-typed commands (CreateUserCommand, UpdateUserCommand)

Architecture

src/
  MyApp.Data/
    Users/
      # Read side - multiple optimized projections
      IUserReadStore.cs
      PostgresUserReadStore.cs

      # Write side - command handlers
      IUserWriteStore.cs
      PostgresUserWriteStore.cs

      # Read DTOs - lightweight, denormalized
      UserProfile.cs
      UserSummary.cs

      # Write commands - validation-focused
      CreateUserCommand.cs
      UpdateUserCommand.cs
    Orders/
      IOrderReadStore.cs
      IOrderWriteStore.cs
      (similar structure...)

Read Store Interface

// Read models: Multiple specialized projections optimized for different use cases
public interface IUserReadStore
{
    // Returns detailed profile for single-user view
    Task<UserProfile?> GetByIdAsync(UserId id, CancellationToken ct = default);

    // Returns lightweight info for lookups
    Task<UserProfile?> GetByEmailAsync(EmailAddress email, CancellationToken ct = default);

    // Returns paginated summaries - only what the list view needs
    Task<IReadOnlyList<UserSummary>> GetAllAsync(int limit, UserId? cursor = null, CancellationToken ct = default);

    // Boolean query - no entity needed
    Task<bool> EmailExistsAsync(EmailAddress email, CancellationToken ct = default);
}

Read the full file on GitHub · 507 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 507 lines · 44 tokens per session scan A a2d5397783b9

Subscribe to this mod's changes

database-performance is a skill published in the GitHub repository ComeOnOliver/skillshub (64 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 3,274 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to database-performance, differing in 3 lines, and is treated as a copy.

Related

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Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins. Works with EF Core and Dapper.

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