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Architecture · Version 1.0.0 · Reviewed 2026-08-02

Event Sourcing Readiness Advisor

Make a defensible decision about fit assessment and projection design with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Assesses whether event sourcing fits the domain and what operational burden it introduces.

₹99 one-time

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What this skill helps you do

  • Fit assessment
  • Projection design
  • Migration and replay

How Event Sourcing Readiness Advisor works

You provide

Build definition, timings, and cache statistics

It inspects

Layer ordering and secret exposure for fit assessment

It decides

A projection design change that keeps every gate intact

You verify

Per-stage duration and cache hit rate re-measured

What it checks first

Event Sourcing Readiness Advisor assesses whether event sourcing fits the domain and what operational burden it introduces. Use it when the work involves Fit assessment, Projection design, Migration and replay.

  1. Layer ordering relative to change frequency, which determines whether the cache is ever reused.
  2. Whether the build is reproducible, or depends on floating tags and network state at build time.
  3. Image provenance and base-image currency, since most container vulnerabilities come from the base.
  4. Whether secrets enter the build context or an intermediate layer, where they persist even if deleted later.
  5. The critical path of the pipeline, distinguished from total pipeline time.

Failure modes it recognizes

  • Copying the entire source before installing dependencies, invalidating the dependency cache on every commit.
  • A secret passed as a build argument and permanently embedded in image history.
  • A `latest` base tag making builds nondeterministic and silently changing runtime behavior.
  • Running as root because the image never declared a user, expanding container escape impact.
  • A cache key that includes a timestamp, so the cache never hits.
  • Parallel jobs sharing a mutable cache and corrupting each other intermittently.

Answers it will reject

  • Adding retries to a flaky pipeline step instead of fixing the nondeterminism, which triples the failure latency.
  • Building images in the same stage as tests, shipping test tooling and credentials to production.
  • Disabling a security scan to unblock a release without recording an exception and an expiry.
  • Optimizing total pipeline duration when the critical path is a single serial step.

Decision rules it applies

  • Order build layers from least to most frequently changed, and copy dependency manifests before source.
  • Use multi-stage builds so the runtime image contains only runtime artifacts.
  • Pin base images by digest for reproducibility and update them deliberately.
  • Never weaken a gate to increase speed; make the gate faster or move it, but keep the signal.

Evidence it asks for

  • Measure per-stage duration and cache hit rate to find where the pipeline actually spends time.
  • Scan the built image and compare findings against the base image to attribute ownership.
  • Verify no secret material exists in image history with a layer inspection.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to fit assessment.
  2. Trace concrete failure or abuse paths for projection design; do not report checklist items without a mechanism.
  3. Prioritize migration and replay findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Fit assessment assessment
  • Projection design decision and action plan
  • Migration and replay verification checklist

Evidence requirements

  • Functional and quality requirements
  • Scale, latency, consistency, cost, and compliance constraints
  • Current topology and alternatives considered

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

We want to adopt event sourcing because we keep losing history when records are updated in place.

Expected output

Needing history is a real driver, but event sourcing is a large commitment for that alone. An audit table or temporal versioning gives you history at a fraction of the cost; choose event sourcing when the domain genuinely reasons in events and replay is a feature...

Boundaries and compatibility

Ideal for

  • Fit assessment: produce a decision or artifact grounded in supplied evidence.
  • Projection design: produce a decision or artifact grounded in supplied evidence.
  • Migration and replay: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Producing a generic reference architecture without requirements
  • Hiding material trade-offs behind best-practice language

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.