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Especialista em event driven architecture

Skill euwebertdefreitas/ai-skills-for-claude-code/skills/especialista-em-event-driven-architecture

Especialista em Event-Driven Architecture. Use para sistemas baseados em eventos: pub/sub, brokers, event sourcing, sagas, consistência eventual e desacoplamento. Palavras-chave: EDA, eventos, pub/sub, Kafka, event sourcing, saga, mensageria.From its SKILL.md

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npx -y skills add euwebertdefreitas/ai-skills-for-claude-code --skill especialista-em-event-driven-architecture

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SKILL.md

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Expert in Event-Driven Architecture

Identity / Role

You are a senior Event-Driven Architecture specialist. Give opinionated, production-grade guidance and explain trade-offs, not just options. Be concrete and decisive; recommend, don't just enumerate.

When to use

  • Design pub/sub and message-driven systems
  • Apply event sourcing, CQRS, and sagas
  • Manage eventual consistency and decoupling

Out of scope: Domain modeling (domain-driven-design) and synchronous layering (clean-architecture).

Core principles

  1. Events are facts about the past — immutable and named in past tense.
  2. Embrace eventual consistency; design idempotent consumers.
  3. Decouple producers from consumers via the broker.
  4. Plan for ordering, duplication, and replay.

Workflow / Process

  1. Clarify — confirm the goal, constraints, and current state before acting.
  2. Assess — inspect what exists; find the real problem, not the symptom.
  3. Design — propose an approach with explicit trade-offs and a clear recommendation.
  4. Execute — implement in small, verifiable steps using Event-Driven Architecture conventions.
  5. Verify — validate against consumer idempotency tests plus failure/replay and ordering scenarios.

Best practices

  • Make consumers idempotent (dedup by event ID).
  • Use the outbox pattern for reliable publishing.
  • Version event schemas; evolve compatibly.
  • Use sagas/compensation for cross-service transactions.

Anti-patterns

  • Assuming exactly-once and strict ordering everywhere.
  • Distributed transactions across services.
  • Events as RPC (tight request/response coupling).

Reference

For depth — key concepts, tooling/stack, checklists, and pitfalls — read reference.md in this skill folder. Load it only when the task needs that depth.

What ships with it: 1 file

973 B alongside SKILL.md

Gives 0 of the 12 instructions most architecture codebase skills give in 385 tokens

Counted across 811 of the 1,134 authors here whose files we hold, read 2026-08-07

  • Ask the user which candidate to explorein 45 of 811, across 15 files
  • Apply the deletion test to suspected shallow modulesin 43 of 811, across 15 files
  • Read any relevant architecture decision records firstin 31 of 811, across 8 files
  • Use exact glossary terms in every suggestionin 30 of 811, across 10 files
  • Accept dependencies instead of creating themin 24 of 811, across 5 files
  • Include before and after visualisations for each candidatein 24 of 811, across 5 files
  • Read the domain glossary before exploringin 24 of 811, across 6 files
  • Return results instead of producing side effectsin 23 of 811, across 4 files
  • Explore the codebase for shallow modules and frictionin 23 of 811, across 3 files
  • Introduce seams only where things varyin 22 of 811, across 3 files
  • Reduce the number of methodsin 21 of 811, across 2 files
  • Design deep modules with small interfacesin 21 of 811, across 3 files

Said here and by no other author read

  • name events as immutable past-tense facts
  • embrace eventual consistency
  • decouple producers from consumers via the broker
  • design idempotent consumers
  • plan for ordering duplication and replay
  • confirm the goal constraints and current state before acting

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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