Canonical overlay for non-trivial server-side networked code that needs multi-layer architecture, data-access, reliability, trust-boundary, or deeper testing discipline. Use alongside the repo's implementation skill for backend services, APIs, middleware, queues, repositories, transactions, auth-sensitive flows, or backend refactors; use `backend-guidance` for thin routine handler work.
Scanned 5/28/2026
Install via CLI
openskills install n-n-code/n-n-code-skills---
name: backend-systems-guidance
description: Canonical overlay for non-trivial server-side networked code that needs multi-layer architecture, data-access, reliability, trust-boundary, or deeper testing discipline. Use alongside the repo's implementation skill for backend services, APIs, middleware, queues, repositories, transactions, auth-sensitive flows, or backend refactors; use `backend-guidance` for thin routine handler work.
---
# Backend Systems Guidance
This is a composable overlay, not a standalone workflow.
Use alongside the repo's implementation skill when the change touches backend
code.
This is the canonical backend overlay in this repo.
It extends the thin baseline `backend-guidance` overlay with stronger guidance
for non-trivial service boundaries, repositories, reliability, and trust
boundaries.
Prefer it over `backend-guidance` when the task includes new endpoints or
consumers, multi-layer refactors, repository or transaction work, auth or
trust-boundary logic, or backend review that needs explicit testing and
reliability checks.
Use the bundled references only when needed:
- [references/trigger-evals.md](references/trigger-evals.md) for lightweight
prompt checks when revising the trigger or scope
## When to use
- the repo has server-side networked code such as HTTP handlers, gRPC methods,
webhooks, queue consumers, or message producers
- the task adds or reshapes routes, controllers, services, repositories,
middleware, or request-processing boundaries
- the task changes auth, authorization, validation, idempotency, retries,
external requests, caching, or observability
- the task needs backend review beyond basic handler thinness, especially for
security, data access, or missing tests
## Not for
- HTTP client code, CLI tooling, offline batch scripts, or data pipelines with
no request or consumer boundary
- frontend-only work
- threat modeling or security audit work where `security` should be the primary
workflow skill
Do not fold infrastructure deployment workflows, outbound-client-only guidance,
or full security-audit checklists into this skill. Keep this overlay centered
on backend request and consumer systems plus their immediate reliability and
trust boundaries.
## Core workflow
1. Read the touched backend files and map the request or consumer path end to
end: boundary, service logic, data access, external calls, and state
changes.
2. Pick the mode before changing code:
- baseline backend change when the work is mostly a thin handler or small
service fix
- service-boundary change when responsibilities, data access, or dependency
direction may need to move
- reliability-hardening or review mode when the main risk is missing tests,
auth gaps, retries, observability, or unsafe failure handling
3. Keep the boundary thin: decode input, authenticate and authorize, validate,
call a service, map transport errors, and serialize output. Business
decisions belong in service code that can run without the transport layer.
4. Place persistence and external integrations deliberately:
- repositories or data adapters own query shape, batching, and transaction
details when that improves clarity or testing
- services coordinate business rules, idempotency, retries, and side-effect
ordering
- handlers and controllers do not reach directly into ORM or network clients
unless the change is truly trivial and stays trivial
5. Harden cross-cutting concerns at the edge:
- validate external input once at the boundary
- enforce auth and authorization before business actions
- set timeouts, retry rules, and destination allowlists for outbound calls
- use structured logging, correlation identifiers, and explicit error
mapping for observable failure paths
6. Choose the smallest test set that proves the change:
- unit tests for service logic and decision branches
- integration tests for handlers, consumers, repositories, and transaction
behavior
- auth and permission tests for protected flows
- contract or schema tests when the change alters external API or event
shapes
- load or concurrency tests only for changed hotspots, queue throughput, or
latency-sensitive paths
7. Review the result for boundary leaks, unsafe defaults, data-access
inefficiency, and missing verification before finishing.
## Decision rules
- Start with `backend-guidance` for ordinary backend edits. Use this overlay
when the task needs stronger design pressure, harder review, or explicit
backend quality gates.
- Keep handlers thin in responsibility, not by literal line count. If a
handler or consumer owns business decisions, retries, transaction branching,
or query orchestration, extract inward.
- Keep business logic transport-free. If testing a rule requires booting HTTP,
gRPC, or queue infrastructure, the logic is in the wrong place.
- Add a repository or data-access interface when it reduces duplication,
isolates non-trivial queries, helps transaction composition, or makes tests
materially simpler. Do not add one for single-call trivial CRUD.
- Prefer one validation pass at the outer edge plus typed internal data. Avoid
repeated validation in every layer unless a trust boundary changes.
- Treat retries as a design choice, not a default. Only retry idempotent or
explicitly deduplicated work, and pair retries with deadlines or backoff.
- Use idempotency keys or duplicate-detection for retried creates, webhook
handlers, and queue consumers that can be re-delivered.
- Every outbound request needs a timeout and failure policy. For user-controlled
destinations, apply allowlists or equivalent SSRF protections.
- Keep error handling explicit: domain code returns or throws domain-level
failures; boundary code maps them to HTTP, gRPC, queue, or job semantics.
- Measure before adding caching. Cache only stable read paths with clear
invalidation or bounded staleness.
## Validation
A backend change is done when, in addition to the base implementation skill's
validation:
- handlers or consumers stay as boundary glue and delegate business decisions to
testable service code
- data access and external I/O live behind clear seams when the change is
non-trivial
- external input, auth, and transport-specific error mapping stay at the edge
- retries, idempotency, timeouts, and failure handling are explicit where the
change can duplicate work or call remote systems
- tests cover the changed behavior at the correct level, including integration
coverage for boundary behavior and permission or failure cases when relevant
- new high-risk paths emit enough evidence to debug production behavior
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