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Caching

Organization
codewithmukesh
caching

Caching strategies for .NET 10 applications. Covers HybridCache (the default), output caching, response caching, and distributed cache patterns. Load this skill when implementing caching, optimizing read performance, reducing database load, or when the user mentions "cache", "HybridCache", "Redis", "output cache", "response cache", "distributed cache", "IMemoryCache", "cache invalidation", "stampede protection", or "cache-aside".

Overview

Publishercodewithmukesh
Repositorydotnet-claude-kit
Skill namecaching
Stars
721
Forks
170
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by codewithmukesh on GitHub. Read the source before you install it.

Installation

Install the Caching AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/codewithmukesh/dotnet-claude-kit.git /tmp/dotnet-claude-kit
mkdir -p .claude/skills
cp -r /tmp/dotnet-claude-kit/skills/caching .claude/skills/caching
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Caching in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Caching on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Caching is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Caching

Core Principles

  1. HybridCache is the default — .NET 9+ introduced HybridCache as the unified caching abstraction. It combines in-memory (L1) and distributed (L2) caching with stampede protection. See ADR-004.
  2. Cache reads, not writes — Cache GET operations. Invalidate on mutations. Never cache POST/PUT/DELETE responses.
  3. Output caching for entire responses — When the full HTTP response can be cached (public APIs, static data), use output caching middleware.
  4. Set explicit TTLs — Every cached item needs an expiration. No unbounded caches.

Patterns

HybridCache (Recommended Default)

csharp
// Program.cs
builder.Services.AddHybridCache(options =>
{
    options.DefaultEntryOptions = new HybridCacheEntryOptions
    {
        Expiration = TimeSpan.FromMinutes(5),
        LocalCacheExpiration = TimeSpan.FromMinutes(2)
    };
});

// Optional: Add Redis as the L2 distributed cache
builder.Services.AddStackExchangeRedisCache(options =>
{
    options.Configuration = builder.Configuration.GetConnectionString("Redis");
});
csharp
// Usage in a handler
public class GetProduct
{
    public record Query(Guid Id);
    public record Response(Guid Id, string Name, decimal Price);

    internal class Handler(AppDbContext db, HybridCache cache)
    {
        public async Task<Response?> Handle(Query query, CancellationToken ct)
        {
            return await cache.GetOrCreateAsync(
                $"products:{query.Id}",
                async token => await db.Products
                    .Where(p => p.Id == query.Id)
                    .Select(p => new Response(p.Id, p.Name, p.Price))
                    .FirstOrDefaultAsync(token),
                new HybridCacheEntryOptions
                {
                    Expiration = TimeSpan.FromMinutes(10)
                },
                cancellationToken: ct);
        }
    }
}

Cache Invalidation

csharp
// Invalidate on mutation
public class UpdateProduct
{
    internal class Handler(AppDbContext db, HybridCache cache)
    {
        public async Task<Result> Handle(Command command, CancellationToken ct)
        {
            var product = await db.Products.FindAsync([command.Id], ct);
            if (product is null) return Result.Failure("Product not found");

            product.Update(command.Name, command.Price);
            await db.SaveChangesAsync(ct);

            // Invalidate the cached entry
            await cache.RemoveAsync($"products:{command.Id}", ct);

            return Result.Success();
        }
    }
}

Output Caching (Full Response Caching)

csharp
// Program.cs
builder.Services.AddOutputCache(options =>
{
    options.AddBasePolicy(b => b.NoCache()); // Don't cache by default

    options.AddPolicy("ProductList", b => b
        .Expire(TimeSpan.FromMinutes(5))
        .Tag("products"));

    options.AddPolicy("ProductById", b => b
        .Expire(TimeSpan.FromMinutes(10))
        .SetVaryByRouteValue("id")
        .Tag("products"));
});

app.UseOutputCache();

// Apply to endpoints
group.MapGet("/", ListProducts).CacheOutput("ProductList");
group.MapGet("/{id:guid}", GetProduct).CacheOutput("ProductById");

// Invalidate by tag on mutations
group.MapPut("/{id:guid}", async (Guid id, UpdateProductRequest request,
    IOutputCacheStore store, CancellationToken ct) =>
{
    // ... update logic ...
    await store.EvictByTagAsync("products", ct);
    return TypedResults.NoContent();
});

Cache-Aside Pattern (Legacy)

Prefer HybridCache for all new code. Manual IDistributedCache cache-aside lacks stampede protection, requires manual serialization, and has no L1/L2 layering. Use only when integrating with existing code that already uses IDistributedCache directly.

Anti-patterns

Don't Cache Without Expiration

csharp
// BAD — cache lives forever, stale data guaranteed
await cache.SetStringAsync(key, value);

// GOOD — always set TTL
await cache.SetStringAsync(key, value, new DistributedCacheEntryOptions
{
    AbsoluteExpirationRelativeToNow = TimeSpan.FromMinutes(10)
});

Don't Cache Mutable User-Specific Data

csharp
// BAD — caching user's cart with a global key
await cache.GetOrCreateAsync("shopping-cart", ...);

// GOOD — include user ID in key
await cache.GetOrCreateAsync($"shopping-cart:{userId}", ...);

Don't Build Your Own Stampede Protection

csharp
// BAD — manual lock to prevent cache stampede
private static readonly SemaphoreSlim Lock = new(1, 1);
await Lock.WaitAsync();
try { /* check cache, populate if missing */ }
finally { Lock.Release(); }

// GOOD — HybridCache has built-in stampede protection
await hybridCache.GetOrCreateAsync(key, factory);

Decision Guide

ScenarioRecommendation
General data cachingHybridCache (GetOrCreateAsync)
Full HTTP responseOutput caching with .CacheOutput()
Frequently read, rarely writtenHybridCache with longer TTL
User-specific dataHybridCache with user-scoped key
Cache invalidation on writecache.RemoveAsync() or output cache tags
Distributed deploymentHybridCache + Redis L2 backend
Single-server deploymentHybridCache with in-memory only

Frequently asked questions

What does the Caching AI skill do?

Caching strategies for .NET 10 applications. Covers HybridCache (the default), output caching, response caching, and distributed cache patterns. Load this skill when implementing caching, optimizing read performance, reducing database load, or when the user mentions "cache", "HybridCache", "Redis", "output cache", "response cache", "distributed cache", "IMemoryCache", "cache invalidation", "stampede protection", or "cache-aside".

Why use Caching on TypingMind?

Because you install it once and use it with any model. Caching is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Caching in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codewithmukesh/dotnet-claude-kit/tree/main/skills/caching. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Caching?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Caching?

As many as you like. As long as a model supports skills, you can use Caching with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Caching AI skill free?

Yes. It is published on GitHub by codewithmukesh under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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