automatonymous

Use when building state machine workflows integrated with MassTransit for distributed sagas and long-running processes. USE FOR: state machine definitions, MassTransit saga orchestration, order/workflow lifecycle management, distributed state transitions, compensation logic DO NOT USE FOR: simple in-process mediator patterns (use mediatr), standalone actor concurrency (use akka-net), basic event pub/sub without state tracking (use event-driven)

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Repositório: Tyler-R-Kendrick/agent-skills
Última atividade na origem: 11 de fevereiro de 2026 às 05:14
Idioma detectado do SKILL.md: inglês
Estrelas: 10
Forks: 4

Opções de instalação

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Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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

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Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

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20 arquivos

SKILL.md

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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

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name	automatonymous
description	Use when building state machine workflows integrated with MassTransit for distributed sagas and long-running processes. USE FOR: state machine definitions, MassTransit saga orchestration, order/workflow lifecycle management, distributed state transitions, compensation logic DO NOT USE FOR: simple in-process mediator patterns (use mediatr), standalone actor concurrency (use akka-net), basic event pub/sub without state tracking (use event-driven)
license	MIT
metadata	{"displayName":"Automatonymous","author":"Tyler-R-Kendrick","version":"1.0.0"}
compatibility	claude, copilot, cursor
references	[{"title":"MassTransit Documentation (includes Automatonymous)","url":"https://masstransit.io/"},{"title":"Automatonymous GitHub Repository","url":"https://github.com/MassTransit/Automatonymous"},{"title":"MassTransit NuGet Package","url":"https://www.nuget.org/packages/MassTransit"}]

Automatonymous

Overview

Automatonymous is a state machine library for .NET that is now fully integrated into MassTransit (v8+). It enables defining complex workflow state machines declaratively using a fluent API. Each state machine instance tracks its own state, responds to events, executes activities, and supports compensation for distributed saga orchestration. In MassTransit v8+, Automatonymous classes live under the namespace directly.

using MassTransit; public class OrderStateMachine : MassTransitStateMachine<OrderState> { public OrderStateMachine() { InstanceState(x => x.CurrentState); Event(() => Submitted, x => x.CorrelateById(ctx => ctx.Message.OrderId)); Event(() => PaymentDone, x => x.CorrelateById(ctx => ctx.Message.OrderId)); Event(() => PaymentError, x => x.CorrelateById(ctx => ctx.Message.OrderId)); Event(() => Shipped, x => x.CorrelateById(ctx => ctx.Message.OrderId)); Event(() => Cancelled, x => x.CorrelateById(ctx => ctx.Message.OrderId)); Initially( When(Submitted) .Then(ctx => { ctx.Saga.OrderDate = DateTime.UtcNow; ctx.Saga.CustomerId = ctx.Message.CustomerId; ctx.Saga.Total = ctx.Message.Total; }) .TransitionTo(AwaitingPayment) .Publish(ctx => new ProcessPaymentCommand( ctx.Saga.CorrelationId, ctx.Saga.Total))); During(AwaitingPayment, When(PaymentDone) .TransitionTo(Paid), When(PaymentError) .Then(ctx => ctx.Saga.FailureReason = ctx.Message.Reason) .TransitionTo(Failed)); During(Paid, When(Shipped) .TransitionTo(Completed) .Finalize()); DuringAny( When(Cancelled) .Then(ctx => ctx.Saga.FailureReason = ctx.Message.Reason) .TransitionTo(Canceled) .Finalize()); SetCompletedWhenFinalized(); } public State AwaitingPayment { get; private set; } = default!; public State Paid { get; private set; } = default!; public State Completed { get; private set; } = default!; public State Failed { get; private set; } = default!; public State Canceled { get; private set; } = default!; public Event<OrderSubmitted> Submitted { get; private set; } = default!; public Event<PaymentProcessed> PaymentDone { get; private set; } = default!; public Event<PaymentFailed> PaymentError { get; private set; } = default!; public Event<OrderShipped> Shipped { get; private set; } = default!; public Event<OrderCancelled> Cancelled { get; private set; } = default!; } public record ProcessPaymentCommand(Guid OrderId, decimal Amount);

Store	Package	Use Case
In-Memory	Built-in	Testing and prototyping
Entity Framework Core	`MassTransit.EntityFrameworkCore`	Relational DB persistence with migrations
MongoDB	`MassTransit.MongoDb`	Document-oriented saga state
Redis	`MassTransit.Redis`	High-throughput, ephemeral sagas
Azure Table Storage	`MassTransit.Azure.Table`	Serverless Azure workloads

automatonymous

Opções de instalação

Revise os arquivos de origem

Automatonymous

Overview

Automatonymous

Overview

NuGet Packages

Saga State Instance

Event Contracts

Defining a State Machine

Registration with MassTransit

EF Core Saga DbContext

Scheduling and Timeouts

State Machine Testing

Persistence Options Comparison

Best Practices

automatonymous

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Mais deste repositório

Automatonymous

Overview

Automatonymous

Overview

NuGet Packages

Saga State Instance

Event Contracts

Defining a State Machine

Registration with MassTransit

EF Core Saga DbContext

Scheduling and Timeouts

State Machine Testing

Persistence Options Comparison

Best Practices