raintree-technology/cleanup-types

Find type definitions that should be shared but are duplicated across files. Consolidate into a single source of truth. Conservative by default — type consolidation looks safe but can hide intentional divergence.

Preflight

1. Language detect: TS/JS (primary), Python (dataclass, TypedDict, Pydantic), Go (struct), Rust (struct/enum).
2. Git state: refuse auto-apply on dirty tree.
3. Report dir: ensure exists.
4. Identify type homes: where does the project already keep shared types? Look for types/, models/, schema/, or a dedicated package (e.g., packages/types/, packages/db/src/schema/ in monorepos).

Detect

No off-the-shelf tool reliably finds semantically equivalent types across languages. Use AST scanning + grep + structural comparison.

TypeScript

# Find every `interface Foo` and `type Foo =` declaration
# Group by name, then by structural shape
grep -rn --include="*.ts" --include="*.tsx" -E "^export (interface|type) [A-Z]" . > /tmp/ts-types.txt

For each name that appears in 2+ files, compare the shapes. Use tsc --listFiles --noEmit output combined with the TypeScript compiler API if available, OR fall back to textual comparison after normalizing whitespace.

Python

# Find dataclass / TypedDict / Pydantic models
grep -rn --include="*.py" -E "^(class \w+\(.*?(BaseModel|TypedDict)\)|@dataclass)" . > /tmp/py-types.txt

Go

grep -rn --include="*.go" -E "^type \w+ struct" . > /tmp/go-types.txt

Rust

grep -rn --include="*.rs" -E "^pub (struct|enum) \w+" . > /tmp/rust-types.txt

Cross-reference: for each type name, check if multiple files define it. For each pair, compare field-by-field.

Assess

Write .claude/cleanup-reports/cleanup-types-{YYYY-MM-DD}.md:

# Type Consolidation Assessment — YYYY-MM-DD

## Summary
- Type names with 2+ definitions: N
- HIGH (structurally identical): X
- MEDIUM (overlapping fields, may diverge intentionally): Y
- LOW (same name, different meaning): Z

## Findings

### `User` interface — HIGH
- Definitions:
  - `apps/app/features/auth/types.ts:8` — `{ id: string; email: string; createdAt: Date }`
  - `apps/admin/features/users/types.ts:12` — `{ id: string; email: string; createdAt: Date }`
- Identical shape. Consolidate to `packages/db/src/schema/user.ts` (already has the runtime model).

### `Account` interface — MEDIUM
- `domains/account/types.ts` — has 8 fields including `permissions: string[]`
- `features/billing/types.ts` — has 5 of those 8 fields, no `permissions`.
- Likely the billing one is a deliberate slice. Recommend: keep both, but rename billing's to `BillingAccount` for clarity. Don't auto-apply.

### `Config` type — LOW (different concepts)
- `lib/api-config.ts` — API client config
- `lib/feature-config.ts` — feature flag config
- Same name, unrelated. Recommendation: rename one for clarity, but no consolidation.

## Critical Assessment
[2-3 paragraphs: are types fragmented because there's no shared package, or because the architecture intentionally separates concerns?]

Apply

Auto-consolidate HIGH only. Type consolidation often crosses package boundaries and reshapes import graphs — be conservative.

Confidence rubric

HIGH (auto-apply):

• Same type name in 2+ files.
• Field names, types, and modifiers (optional, readonly) all match exactly.
• Same semantic concept (verify by usage — both used for the same domain entity).
• Existing shared types module exists in the workspace.

MEDIUM (report only):

• Overlapping fields with intentional divergence (one has extras, one omits some).
• Same shape but different name — could be a renaming opportunity, but choosing the canonical name is judgment.
• Cross-package consolidation that requires creating a new shared package.

LOW (note only):

• Same name, different meaning (Config, Options, Result are common offenders).
• Generated types (from OpenAPI, GraphQL, Drizzle schema, etc.) — leave the codegen alone.

Execution (HIGH only)

1. Choose canonical home: existing shared types module that both source files can import.
2. Move the type definition there (preserve JSDoc/comments).
3. Replace both originals with import type { Foo } from '...'.
4. Run typecheck — if any error appears (often due to nominal typing differences in TS, or generic param mismatches), revert that one and downgrade.
5. Commit: chore(cleanup): cleanup-types — consolidated N duplicate type definitions.

Verify

# Typecheck is the critical signal
npm run typecheck 2>&1 || npx tsc --noEmit
mypy . 2>&1 || true
go build ./... 2>&1
cargo check 2>&1

# Then standard test/lint
npm test && (npx @biomejs/biome check . || npx eslint .)

Type consolidation that breaks downstream usage (e.g., a consumer relied on a field being optional in one definition but required in the other) shows up here. Revert on any new error.

Output

• "Consolidated N duplicate type definitions. M deferred for review."
• Report path.
• Verify status.

NEVER

• Auto-consolidate generated types (Drizzle inferred types, OpenAPI codegen, Prisma types, GraphQL schema types) — regenerate is the right answer.
• Merge a Foo from a public-API package with a Foo from a private app package — that breaks the API contract.
• Create a new shared package automatically.
• Consolidate types that have nominal markers (branded types, opaque types) — those exist precisely to not be merged.
• Touch types in *.d.ts ambient declaration files unless the source is also a .d.ts.
• Auto-rename — renaming has cascading effects and needs human sign-off.