api-contract-review

Review an API's contract as a promise to consumers — detects breaking changes by diffing the before/after surface (removed/renamed fields, type changes, tightened requiredness, status-code changes), and judges design by the repo's OWN precedent (error envelope, naming, pagination, auth placement) with every consistency finding citing the in-repo convention being violated. Covers versioning, idempotency on retryable writes, pagination on collections, and status-code semantics. Use this skill whenever the user says "review this API", "review the endpoint", "API design review", "is this a breaking change", "check backward compatibility", "review the contract", "review this OpenAPI/swagger spec", or "/api-contract-review" — even if they don't name the skill. Distinct from code-review (implementation quality); this reviews the SURFACE consumers depend on.

An API contract is a promise made to code you can't see and can't fix. This skill reviews the promise, not the implementation: what a consumer can observe — paths, methods, fields, types, requiredness, status codes, error shapes, headers, ordering and pagination semantics — and whether this change keeps, extends, or breaks it. Two evidence rules do the work: breaking requires a before/after diff of a consumer-visible element, and inconsistent requires a citation of the in-repo precedent being violated.

When to use this skill

• The user says "review this API", "API design review", "is this a breaking change", "check backward compat", "review the contract", "review this OpenAPI spec", "/api-contract-review".
• A new endpoint, GraphQL type, gRPC service, webhook payload, or event schema is being added or changed.
• An endpoint is being designed and the contract deserves its own pass before implementation.

Do not auto-trigger for internal function signatures or module interfaces (that's code-review / improve-codebase-architecture territory) — this skill is for surfaces crossed by consumers who deploy independently: HTTP APIs, published events, webhooks, SDK-facing types.

Workflow

1. Establish the before and the after. For a change: the old contract is git show of the previous handler/spec/DTO, the new one is the working tree — read both; a breaking-change verdict without the before-state in hand is a hypothesis. For a brand-new endpoint there is no "before", so the compat section reduces to forward-compat design (step 4). Identify the consumers if discoverable (other repos, mobile apps, webhook subscribers, "unknown external") — unknown consumers raise the cost of every breaking change and the report should say so.
2. Diff the consumer-visible surface for breaking changes. Breaking = an existing valid consumer interaction stops working or changes meaning. The checklist, each judged by before/after citation:
   • Removed or renamed: path, method, field, enum value, header.
   • Type changes (string→int, scalar→object, nullable→non-null in responses).
   • Requiredness tightened on requests (new required field/param, stricter validation rejecting previously-valid input).
   • Semantics changed under the same name: status code for the same condition, default value, sort order consumers observe, pagination behavior, error code values, ID format.
   • Response fields removed or now-sometimes-absent (additive response fields are non-breaking for tolerant readers — but check the repo's serializer isn't strict).
   • ❌ "Changing this field feels risky." — no before/after, not a verdict.
   • ✅ "Breaking: status response field was \"active\"|\"disabled\" (git show UserDto.cs:14), now adds \"suspended\" — consumers with exhaustive enum handling will throw. New enum values in responses are breaking unless the contract documents open enums; nothing in the spec says so."
3. Judge design by local precedent, not by taste. Before flagging anything as inconsistent, grep the sibling endpoints and read at least two. Then check the new surface against what THIS repo does: error envelope shape (find the canonical one; new endpoint must return it, not a fresh ad-hoc {message} — cite both), naming (camelCase vs snake_case, plural collections, ID field naming), auth placement (same middleware/guard pattern as siblings — compose with security-review if it's absent entirely), pagination style (cursor vs offset, envelope keys), timestamp format, route casing. A consistency finding without the cited precedent is an opinion; drop it or label it one.
4. Check the design invariants that hurt later. These apply even with zero consumers today, because they're near-impossible to retrofit:
   • Collections paginate from day one — an unpaginated list endpoint is a time bomb; adding pagination later breaks every consumer.
   • Retryable writes are idempotent — POSTs that create money-adjacent or non-deduplicable resources need an idempotency key or a natural dedup constraint; name which.
   • Status codes carry their standard meaning — 200-with-error-body, 404 for authz denials (unless deliberate resource-hiding, then say so), 500 for validation failures: each flagged with the observed code and the condition.
   • Errors are machine-usable — a stable code field, not prose-only messages consumers will regex.
   • Nothing leaks that can't be unshipped — internal IDs, stack traces, ORM entity fields serialized wholesale (grep: does the handler return the entity type or a DTO?). Every response field is a permanent promise; flag fields with no evident consumer need.
   • Timestamps and money have explicit units/zones/currency — amount: 4200 with no currency or minor-unit convention is a production incident on layaway.
5. Report in three ranked sections. (a) Breaking — each with before/after citations and the migration path (version bump per the repo's existing strategy, additive alternative, deprecation window); (b) Design — invariant violations and precedent-cited inconsistencies; (c) Questions — semantics you couldn't determine from code (is this enum open? is this endpoint consumer-facing at all?). Zero findings is a valid outcome — an additive, precedent-matching endpoint should get a short pass, not invented nits. Never edit code or specs unprompted.

Examples

Example 1: "is this a breaking change?"

User: "I'm renaming customer_id to customerId in the orders response — breaking?"

Claude: Diffs before/after (breaking: field rename is remove+add for every existing reader), greps the repo — every other response uses snake_case, so the rename also breaks local convention rather than fixing it (cited: 9 sibling DTOs). Recommends: keep customer_id; if the target is a casing migration, that's an API-version-level change, not a field edit.

Example 2: new endpoint pass

User: "Review the contract for the new /api/reports endpoints before I build them."

Claude: No before-state → forward-compat pass: flags the unpaginated GET /reports (day-one invariant), flags POST /reports/generate returning 200 with the result inline when generation takes minutes (should be 202 + status resource — cites the repo's existing export endpoint doing exactly that), confirms error envelope and naming match siblings, asks one question (open or closed enum for format?).

Anti-patterns

• ❌ Declaring "breaking" or "safe" without reading the before-state — the diff of the surface is the entire evidence base.
• ❌ Imposing REST doctrine the repo doesn't follow ("should be HATEOAS", "must be plural nouns") when siblings consistently do otherwise — local consistency beats global convention; flag the doctrine mismatch once as a question, at most.
• ❌ Consistency findings with no cited precedent — grep the siblings first or don't flag it.
• ❌ Treating additive response fields as breaking, or new required request fields as safe — the asymmetry (requests: consumers write them; responses: consumers read them) is the whole compat model.
• ❌ Passing an unpaginated collection endpoint because "there won't be much data" — volume assumptions don't survive; retrofitting pagination breaks every consumer.
• ❌ Reviewing the handler's implementation quality (naming, DRY, perf) — that's code-review; scope discipline keeps this report actionable.
• ✅ Before/after-cited breaking verdicts, precedent-cited consistency findings, day-one invariants checked, questions kept separate from findings.

Notes

• Spec-first repos (OpenAPI/proto/GraphQL SDL): review the spec diff as the contract and verify the implementation actually matches it (spot-check one handler against its spec entry — drift between the two is itself a finding). Code-first repos: the serialized DTOs + routes are the contract.
• Deprecation over deletion: when a breaking change is genuinely wanted, the recommendation is the repo's existing versioning/deprecation mechanism if one exists (grep for it) — inventing a versioning strategy is a design conversation, not a review finding.
• Apply think-like-fable: the risk lives in the unknown consumers, so compat verdicts get the re-derivation effort; "safe" claims are labeled by what was actually diffed; the report leads with the one change the user must not merge as-is.