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cleanup

Run all code quality skills — effects, memo, callbacks, state, React Query, emcn design review, url-state, and comments — analyzing in parallel, then applying fixes sequentially

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SKILL.md
Quality
Evals
Security

Cleanup

Arguments:

  • scope: what to review (default: your current changes). Examples: "diff to main", "PR #123", "src/components/", "whole codebase"
  • fix: whether to apply fixes (default: true). Set to false to only propose changes.

User arguments: $ARGUMENTS

Step 1 — Parallel analysis (read-only)

First parse the user's $ARGUMENTS into scope and fix: extract the fix=true|false token wherever it appears in the string (start, middle, or end), and treat everything else — with that token removed — as scope. Defaults: scope = your current changes, fix = true. The fix value is consumed by Step 3 — it does NOT propagate to these passes, which always run fix=false.

Spawn all eight passes concurrently as subagents in a single message (multiple Agent tool calls). Each runs its skill on the parsed scope with fix=false — analysis and proposals ONLY, no edits. Instruct each agent to return its findings as a structured list: for every proposed change, the file path, line range, a one-line description of the change, and the exact before/after so the orchestrator can apply it without re-deriving.

Run these eight in parallel, substituting the parsed scope for <scope> in each invocation (pass the real scope text, never the literal <scope>):

  1. /you-might-not-need-an-effect <scope> fix=false
  2. /you-might-not-need-a-memo <scope> fix=false
  3. /you-might-not-need-a-callback <scope> fix=false
  4. /you-might-not-need-state <scope> fix=false
  5. /react-query-best-practices <scope> fix=false
  6. /emcn-design-review <scope> fix=false
  7. /you-might-not-need-url-state <scope> fix=false
  8. /you-might-not-need-a-comment <scope> fix=false

Step 2 — Converge

Collect all findings into one list, keeping each proposal tagged with the pass that produced it — do NOT collapse a file's proposals into a single unlabeled patch, because Step 3 applies in pass order and needs those labels. Detect overlaps where two passes touch the same region (common: a state pass and an effect pass on the same block, or a memo and callback pass on the same component). Reconcile only genuine same-region conflicts, and drop proposals a sibling pass has made moot; a reconciled change inherits the pass label of whichever of its passes comes first in the Step 3 dependency order (effects → state → memo → callback → React Query → url-state → emcn → comments), so it is applied at the earliest safe point. Non-overlapping proposals stay as-is with their own labels. The output is a per-pass list of surviving changes, not a per-file patch.

Step 3 — Sequential apply

If fix=false, skip this step — just report the proposals from Step 2.

Otherwise apply the surviving changes yourself (in the main context, not delegated), iterating pass by pass in this dependency order so earlier structural changes settle before later passes build on them:

  1. effects → 2. state → 3. memo → 4. callback → 5. React Query → 6. url-state → 7. emcn design → 8. comments

For each pass in turn, apply all of that pass's changes, then move to the next pass. A file touched by several passes is therefore edited once per pass, in this order — not once as a merged patch. This is what makes the ordering real: a single merged-per-file patch would collapse all passes into one edit and lose it.

Comments apply last, on purpose: that pass operates on whatever the earlier structural passes settled the code into, so it never edits lines a sibling pass is about to delete or rewrite.

Treat every Step 1 proposal as snapshot-relative, not authoritative. All passes analyzed the original files in parallel, so a proposal's line ranges and before/after text describe the code as it was before any edits — once an earlier pass has run, a later pass's snippet may no longer match. So for each change, before applying:

  1. Re-read the file and locate the target by its content (the proposal's old_string snippet), not by its line number — line numbers from Step 1 are only a hint for where to look, since earlier edits shift them.
  2. If the old_string still matches verbatim, apply it — a content-anchored edit is safe even if its line moved.
  3. If it no longer matches (an earlier pass altered that region), do not force the stale patch. Re-derive the change from the current code by re-applying that pass's rule to the construct, or drop it if a prior pass already made it moot. Never apply a proposal against text it wasn't computed from.

After all edits, run bun run lint:check (it runs turbo run lint:check across the repo — there is no per-file target, so run the full check).

Step 4 — Summary

Output a summary across all eight passes: what each found, what was applied vs. skipped-as-redundant, and any proposals that need a human decision.

Boundary Audit Guidance

  • When removing route-local Zod schemas, replacing raw fetch( calls in hooks, or removing as unknown as X casts, do not introduce // boundary-raw-fetch: <reason> or // double-cast-allowed: <reason> annotations to silence the audit. Fix the underlying call instead — adopt a contract from @/lib/api/contracts/** and use requestJson(contract, ...) from @/lib/api/client/request, or refine the type so the double cast is unnecessary.
  • Annotations are reserved for legitimate exceptions only: streaming responses, binary downloads, multipart uploads, signed-URL flows, OAuth redirects, external-origin requests, and double casts where no narrower type is available. Each annotation requires a non-empty reason; empty reasons fail bun run check:api-validation:strict.
Repository
simstudioai/sim
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