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AL-JANEFAL-JANEF/janef-forge/skills/engineering/architecture-integrity/SKILL.md

architecture-integrity

Skill1 starsChanged 54 days agoMITView on GitHub

Design or change system structure without breaking invariants: module and domain boundaries, dependency direction, new services, queues, caches, datastores, or frameworks, and lasting trade-offs recorded as ADRs. Use when a change crosses components, introduces a durable boundary, or is hard to reverse.

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We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Start from requirements, trust boundaries, failure modes, deployment constraints, and the existing sources of truth.

    line 21
  2. Distinctive:

    Keep domain policy separate from transport, storage, framework, and vendor adapters.

    line 25
  3. Distinctive:

    Do not introduce a service, queue, cache, datastore, framework, or abstraction unless the existing architecture cannot meet the requirement …

    line 28

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Architecture Integrity

Architecture should reduce the cost of known change, not speculate about every future possibility. Preserve ownership, dependency direction, invariants, and clear boundaries; do not redesign unrelated layers to make a local change look cleaner.

Decision frame

  • Which current and expected use cases must the design serve? Which quality attributes matter here: reliability, security, latency, scale, operability, portability, cost?
  • What is the smallest boundary that localizes change without hiding essential behavior?
  • Which option is easiest to test, observe, migrate, and remove?
  • Start from requirements, trust boundaries, failure modes, deployment constraints, and the existing sources of truth.

Design rules

  • Keep domain policy separate from transport, storage, framework, and vendor adapters.
  • Depend toward stable contracts. Avoid circular dependencies, shared mutable authority, duplicated business rules, and cross-domain database ownership.
  • Make ownership of data, transactions, retries, timeouts, and cleanup explicit.
  • Do not introduce a service, queue, cache, datastore, framework, or abstraction unless the existing architecture cannot meet the requirement cleanly. Prefer boring, existing technology.
  • Model failure, recovery, operability, and ownership, not only the happy path. Keep distributed systems no more complex than necessary.
  • Design migrations for mixed versions, rollback, and partial failure. Add observability at boundaries where failures would otherwise be ambiguous.

Record the decision

Write an ADR in the repository's established mechanism when the choice affects multiple components, introduces infrastructure or a dependency, changes a public contract, has meaningful alternatives, or will be costly to reverse. Capture context, decision, alternatives, consequences, migration, and rollback. Do not turn the ADR into a tutorial.

Verify

Validate the architecture against implementation reality before claiming compliance: imports and dependency direction, ownership of data and transactions, and the actual deployment topology. A diagram that does not match the code is a finding.

Output

## Design: <scope>
Requirements & constraints: ...
Options considered: <A> / <B> — chosen <X> because ...
Boundaries & ownership: ...
Failure & migration model: ...
ADR: <path or "not needed because ...">

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