mediatr

Use when implementing in-process mediator, CQRS, and pipeline behavior patterns with MediatR in .NET applications. USE FOR: in-process command/query dispatch, CQRS with pipeline behaviors, notification fan-out, cross-cutting concern pipelines (validation, logging, caching), decoupling controllers from handlers DO NOT USE FOR: distributed messaging across services (use masstransit or nservicebus), actor-based concurrency (use akka-net), external message broker integration (use rebus)

跳到安装

仓库: Tyler-R-Kendrick/agent-skills
最近来源活动: 2026年2月11日 05:14
检测到的 SKILL.md 语言: 英语
星标: 10
分支: 4

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

用 Codex 或 Claude 帮你安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/Tyler-R-Kendrick/agent-skills --skill mediatr

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

文件资源管理器

16 个文件

SKILL.md

来源说明 · 只读预览

返回搜索返回安装

improve

Use when producing agent/LLM evals, synthetic simulation data, or self-improvement pipelines for prompts, code, skills, agents, harnesses, and workflows. Covers AgentEvals/AgentV, Agent Skills evals, ASSERT, GEPA, Trace, VISTA, Agent Lightning, SkillOpt, Simula-style data design, progressive disclosure, deterministic workspaces, and release evidence. USE FOR: eval creation, EVAL.yaml, AgentEvals, AgentV, evals.json, ASSERT, judge-traces, behavior taxonomy, judges, graders, rubrics, synthetic data, simulation data, Simula, QDC, source-grounded generation, prompt optimization, agent improvement, skill improvement, harness hardening, progressive disclosure, deterministic workflows, GEPA, Trace, VISTA, Agent Lightning, SkillOpt DO NOT USE FOR: ordinary unit/integration tests without AI quality criteria (use testing), refactoring without eval or trace feedback (use refactor), generic Agent Skills packaging without eval or improvement work (use agent-skills)

2026-06-09

Use when working with AI agent protocols, standards, interoperability specifications, evaluation contracts, synthetic simulation data, improvement pipelines, and agent steering workflows. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, Improve, x402, AP2, MCP Apps, cagent, and learn. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols, choosing eval standards, choosing improvement techniques, choosing synthetic data simulation techniques, steering from user feedback DO NOT USE FOR: specific protocol, eval, or improvement implementation details (use the sub-skills: mcp, a2a, acp, improve, learn, x402, etc.)

2026-06-09

learn

Use when a user corrects, rejects, edits, or redirects an LLM/agent response and the correction should become a reusable reasoning strategy. Converts feedback into generalized learnings for ~/.agents/STEERING.md with linked RDF/Turtle evidence. USE FOR: user corrections, preference feedback, rejected agent behavior, reasoning strategy updates, steering file maintenance DO NOT USE FOR: storing task facts (use memory), ordinary skill authoring (use agent-skills), project instruction files unrelated to feedback (use agents-md)

2026-06-08

查看这个仓库的全部 Skills

name	mediatr
description	Use when implementing in-process mediator, CQRS, and pipeline behavior patterns with MediatR in .NET applications. USE FOR: in-process command/query dispatch, CQRS with pipeline behaviors, notification fan-out, cross-cutting concern pipelines (validation, logging, caching), decoupling controllers from handlers DO NOT USE FOR: distributed messaging across services (use masstransit or nservicebus), actor-based concurrency (use akka-net), external message broker integration (use rebus)
license	MIT
metadata	{"displayName":"MediatR","author":"Tyler-R-Kendrick","version":"1.0.0"}
compatibility	claude, copilot, cursor
references	[{"title":"MediatR GitHub Repository","url":"https://github.com/jbogard/MediatR"},{"title":"MediatR NuGet Package","url":"https://www.nuget.org/packages/MediatR"}]

MediatR

Overview

MediatR is a simple, unambitious in-process mediator library for .NET. It decouples the sender of a request from its handler using IRequest<TResponse> for request/response, INotification for publish/subscribe fan-out, and for cross-cutting middleware. MediatR is commonly used to implement CQRS patterns within a single application, keeping controllers thin and handlers focused.

using FluentValidation; using MediatR; // Validation behavior public sealed class ValidationBehavior<TRequest, TResponse> : IPipelineBehavior<TRequest, TResponse> where TRequest : notnull { private readonly IEnumerable<IValidator<TRequest>> _validators; public ValidationBehavior(IEnumerable<IValidator<TRequest>> validators) => _validators = validators; public async Task<TResponse> Handle( TRequest request, RequestHandlerDelegate<TResponse> next, CancellationToken ct) { if (_validators.Any()) { var context = new ValidationContext<TRequest>(request); var results = await Task.WhenAll( _validators.Select(v => v.ValidateAsync(context, ct))); var failures = results .SelectMany(r => r.Errors) .Where(f => f is not null) .ToList(); if (failures.Count > 0) throw new ValidationException(failures); } return await next(); } } // Logging behavior public sealed class LoggingBehavior<TRequest, TResponse> : IPipelineBehavior<TRequest, TResponse> where TRequest : notnull { private readonly ILogger<LoggingBehavior<TRequest, TResponse>> _logger; public LoggingBehavior(ILogger<LoggingBehavior<TRequest, TResponse>> logger) => _logger = logger; public async Task<TResponse> Handle( TRequest request, RequestHandlerDelegate<TResponse> next, CancellationToken ct) { var requestName = typeof(TRequest).Name; _logger.LogInformation("Handling {RequestName}", requestName); var sw = Stopwatch.StartNew(); var response = await next(); sw.Stop(); _logger.LogInformation("Handled {RequestName} in {Elapsed}ms", requestName, sw.ElapsedMilliseconds); return response; } } // Caching behavior public interface ICacheableQuery { string CacheKey { get; } TimeSpan? CacheDuration { get; } } public sealed class CachingBehavior<TRequest, TResponse> : IPipelineBehavior<TRequest, TResponse> where TRequest : ICacheableQuery { private readonly IDistributedCache _cache; public CachingBehavior(IDistributedCache cache) => _cache = cache; public async Task<TResponse> Handle( TRequest request, RequestHandlerDelegate<TResponse> next, CancellationToken ct) { var cached = await _cache.GetStringAsync(request.CacheKey, ct); if (cached is not null) return JsonSerializer.Deserialize<TResponse>(cached)!; var response = await next(); await _cache.SetStringAsync( request.CacheKey, JsonSerializer.Serialize(response), new DistributedCacheEntryOptions { AbsoluteExpirationRelativeToNow = request.CacheDuration ?? TimeSpan.FromMinutes(5) }, ct); return response; } }

mediatr

安装方式

检查来源文件

MediatR

Overview

MediatR

Overview

NuGet Packages

Registration

Commands (Request/Response)

Queries

Notifications (Pub/Sub)

Pipeline Behaviors

ASP.NET Core Integration

FluentValidation Integration

Best Practices

mediatr

来源信息

安装方式

检查来源文件

同仓库更多 Skills

MediatR

Overview

MediatR

Overview

NuGet Packages

Registration

Commands (Request/Response)

Queries

Notifications (Pub/Sub)

Pipeline Behaviors

ASP.NET Core Integration

FluentValidation Integration

Best Practices

同仓库更多 Skills