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Protobuf architect

Skill ralvarezdev/ralvaskills/skills/encoding/protobuf-architect

My personal, ever-growing collection of AI skills for OpenCode and Claude Code. Enforces strict clean architecture and professional standards.

Install
npx -y skills add ralvarezdev/ralvaskills --skill protobuf-architect

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Protocol Buffers (proto3) standards — Buf-style package naming, protovalidate (CEL), buf toolchain for lint/breaking/generation, field-number reservation, well-known types. Language-agnostic schema design. Use when designing or evolving .proto files.

SKILL.md

7.9 KB, as published. Nobody here has run it

Protocol Buffers Architecture

Language-agnostic schema standards. Proto files target proto3 + buf toolchain. Validation uses protovalidate (CEL). Code generation is per-language and out of scope here — see the language architect skill for the generated-code idioms (e.g. go-architect when generating for Go). File-layout, validation, codegen, and breaking-check snippets in RECIPES.md; pinned tool versions in STACK.md.

1. File layout & package naming

Buf-style hierarchical packages — <org>.<product>.<resource>.<version>. Mirrors the on-disk path. One service or coherent message group per file. Tree + package declaration in RECIPES.md.

  • Package = directory path. acme/shop/users/v1/package acme.shop.users.v1;. Enforced by buf lint.
  • Per-language option *_package declarations live in every file. Set them up-front; don't refactor later (it's a breaking change).
  • One service definition per file; supporting messages can live alongside or in sibling files.

2. Message design

  • All fields are optional semantically in proto3. Use the explicit optional keyword (proto3.15+) when "field absent" must be distinguishable from "field present with zero value" — common for PATCH-style partial updates.
  • Field names: snake_case. Enforced by buf lint. The language plugin converts to the target idiom (Go CamelCase, Python snake_case, etc.).
  • Message names: PascalCase singular. User, not Users (the collection is repeated User).
  • Enum names: PascalCase. Enum value names: UPPER_SNAKE_CASE prefixed with the enum name to keep them unambiguous across imports. Example in RECIPES.md.
  • *_UNSPECIFIED = 0 is mandatory — proto3 default is 0; making the zero value an explicit "unspecified" sentinel prevents accidental defaults from being mistaken for real states.
  • No primitive wrappers (google.protobuf.StringValue etc.) at API boundaries. Use optional instead — it's the modern equivalent and doesn't require importing wrappers.proto.
  • Avoid map<K, V> when ordering or evolution matters. repeated KeyValue with explicit key/value fields gives you ordering, validation, and the ability to add metadata per entry later.

3. Field numbering & reservation discipline

  • Field numbers 1–15 use 1 byte on the wire; 16–2047 use 2 bytes. Reserve 1–15 for fields read on every request (IDs, status, frequently-accessed metadata).
  • Never reuse a field number. When deleting a field, reserved it forever (example in RECIPES.md).
  • Never change a field's type. Changing int32 age = 5; to string age = 5; is a breaking change at the wire level. Delete + reserve + introduce a new field with a new number instead.
  • buf breaking enforces both rules in CI (see §8).

4. Versioning

  • Version is part of the package path (acme.shop.users.v1), never appended to message names (UserV1 is wrong).
  • A new major version = a new vN package + a new directory. v1/ and v2/ coexist; clients migrate at their pace.
  • Additive changes stay in the same version. Adding a new optional field, a new enum value, or a new service method does not break clients — no version bump needed.
  • Breaking changes always go to a new major version. Field removal, type change, semantic change, required-field tightening.
  • Deprecate before remove. Add [deprecated = true] on the field; communicate via Deprecation headers when wrapped in REST; remove only in the next major version after migration is complete.

5. Validation — protovalidate (CEL)

Buf's protovalidate is the modern, declarative replacement for the older protoc-gen-validate (PGV). Constraints are CEL expressions attached as field options; validation runs at runtime via per-language protovalidate libraries. Field-level and cross-field examples in RECIPES.md.

  • Validate at the boundary — server-side, in the gRPC interceptor (see grpc-architect §4). Don't rely on clients to validate.
  • CEL allows cross-field rules via (buf.validate.message).cel.
  • Skip the old protoc-gen-validate (PGV). It's deprecated; protovalidate's CEL is more expressive and the runtime is maintained.

6. Code generation — buf generate + buf.gen.yaml

One config file at the repo root drives all generators. Versions of the plugins are pinned in buf.gen.yaml itself; no protoc invocation by hand. Full config in RECIPES.md.

  • Generated code is committed in monorepos and in any repo whose consumers don't run buf themselves. Commit it under gen/<lang>/... clearly separated from hand-written source.
  • Generated code is never edited by hand. If you need to add helpers, write them in sibling hand-written files.
  • Generator plugin versions are pinned in buf.gen.yaml — never :latest.

7. Linting — buf lint

buf lint runs the STANDARD rule set out of the box (proto3 conventions, naming, file structure). Add to CI. buf.yaml config in RECIPES.md.

Common lint catches:

  • File package doesn't match directory path
  • Field name isn't snake_case
  • Enum value not prefixed with enum name
  • Missing *_UNSPECIFIED = 0
  • Missing per-language option *_package

8. Breaking-change detection — buf breaking in CI

buf breaking --against '.git#branch=main,subdir=proto' blocks merges that introduce breaking changes without an intentional new vN package. FILE-level rules (the default) treat the file as the unit of compatibility — appropriate when generated code is consumed file-by-file. Stricter PACKAGE and WIRE modes exist; pick FILE unless you have a reason to differ.

  • Run on every PR.
  • The check compares against the main branch state. Workflows that want to compare against a tagged release can pass --against '.git#tag=v1.5.0,subdir=proto'.

9. Well-known types

Use the Google-provided well-known types instead of inventing equivalents.

Use caseType
Point-in-time timestampgoogle.protobuf.Timestamp (RFC 3339, nanosecond precision)
Durationgoogle.protobuf.Duration
Wall-clock date (no time)google.type.Date (from googleapis)
Moneygoogle.type.Money (from googleapis) — currency code + amount
Unstructured JSONgoogle.protobuf.Struct (only for genuinely schemaless payloads)
Empty responsegoogle.protobuf.Empty
Optional field markerproto3 optional keyword (no wrapper needed)
Field mask for partial updatesgoogle.protobuf.FieldMask
  • Always import via the canonical path. Don't copy these into your own packages.
  • Timestamp over int64 unix_ts for any human-relevant time. Wire size is similar; human readability wins.
  • Struct is a hint of bad design. Schemaless data in a typed schema is a smell — model it relationally if you can. Same opinion as sql-architect §10 on JSONB.

10. Common types / shared messages

When two services need the same domain concept (Money, Address, CustomerId), put it in a shared types/v1/ sub-package — example layout in RECIPES.md.

  • types/v1/ is its own versioned package. It evolves on the same major-version contract as anything else.
  • Avoid premature sharing. Two services with similar-looking Address messages might genuinely have different semantics; force the sharing only when the model is provably the same.
  • Never put services in the shared package. Only messages.

Keep looking

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