Frontend review state
Use when reviewing state management architecture — classifying state types (server/URL/form/UI), checking for over-globalization, Jotai/Zustand/Redux patterns, derived state, and logout/cache invalidation. Covers checklist 23-state-management.md.From its SKILL.md
npx -y skills add krkrkrr/skills --skill frontend-review-stateAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
5.4 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
Frontend Review — State Management
You are reviewing the state management architecture of a frontend project. The most common AI-generated problems are: putting everything in global state, storing server data in a global store instead of TanStack Query, and using coarse-grained selectors that cause the whole component tree to re-render.
Procedure
- Read
package.jsonto identify the state management libraries in use. - Grep for global state usage patterns:
# Jotai grep -rn "atom\|useAtom\|useAtomValue" src/ --include='*.ts' --include='*.tsx' | wc -l # Zustand grep -rn "create\b\|useStore\b" src/ --include='*.ts' --include='*.tsx' | head -20 # Redux grep -rn "createSlice\|useSelector\|useDispatch" src/ --include='*.ts' --include='*.tsx' | head -20 # Context grep -rn "createContext\|useContext" src/ --include='*.ts' --include='*.tsx' | head -20 - Sample 3–5 of the largest atom / store definitions and assess what they contain.
- Check for server state stored in global store (should be TanStack Query / SWR instead).
- Check for URL state stored in global store (should be
useSearchParams/nuqs). - Check for form state stored in global store (should be React Hook Form).
State Classification
Correctly classify state by type. Each type has a dedicated tool — using the wrong tool is the root cause of most state management bugs.
Server state → TanStack Query / SWR (not global store)
URL state → useSearchParams / nuqs (not global store)
Form state → React Hook Form (not global store)
UI local → useState / useReducer (component-scoped)
UI global → Jotai / Zustand / Context (minimum scope)
Flag any server, URL, or form state found in a global Jotai/Zustand/Redux store. These are always bugs or design mistakes.
Library-Specific Checks
Jotai
- Atom granularity: one atom per logical unit; no large object atoms (
{ user, theme, notifications, ... }). - Derived state: use
atom(get => ...)for computed values instead of storing redundant computed data. - Side effects: isolate in
atomEffect/useAtomEffect, not inatomsetter callbacks. - Testability: atoms declared at module top-level become global singletons — use
Providerscoping in tests / Storybook.
// Bad: monolithic atom
const appStateAtom = atom({ user: null, theme: 'light', selectedItems: [], filterQuery: '' });
// Good: split + derived
const userAtom = atom<User | null>(null);
const themeAtom = atom<'light' | 'dark'>('light');
const filteredItemsAtom = atom((get) =>
get(allItemsAtom).filter(item => item.name.includes(get(filterQueryAtom)))
);
Zustand
- Selector usage:
useStore(state => state.specificField)— never subscribe to the entire store object. - Shallow compare: use
shallowfromzustand/shallowwhen selecting multiple fields as an object. - No direct mutation: always use
set/get, never mutate state outside of Zustand's setter.
// Bad: subscribes to everything
const { user, theme, cart } = useStore();
// Good: selector per field (or shallow for multi-field)
const user = useStore(state => state.user);
const { theme, cart } = useStore(useShallow(state => ({ theme: state.theme, cart: state.cart })));
Redux Toolkit
- Is
createSliceused (not hand-written reducers)? - Is async data fetched via
createAsyncThunkor RTK Query, not manualdispatchchains? - Is server state in RTK Query / TanStack Query rather than a slice?
Context API
- Context re-renders every Consumer when any value changes. If the context value is an object, split it into separate contexts per logical group (e.g.,
AuthContext,ThemeContext). - Context is suitable for stable, low-frequency values (auth user, theme, i18n locale).
- Do not use Context as a general-purpose state manager for high-frequency updates.
Logout & Cache Invalidation
A common bug: after logout, the next user who logs in sees cached data from the previous session.
Check that the logout handler:
- Calls the server logout endpoint (session revocation)
- Clears TanStack Query / SWR cache (
queryClient.clear()) - Resets all auth-related global atoms / Zustand stores
- Navigates to
/login(after clearing, not before)
Output
Write <client-repo>/.frontend-review/report/latest/md/state-review.md with:
- State inventory: which libraries are used, rough count of atoms/stores/contexts
- Misclassified state: server/URL/form state found in global store (these are bugs)
- Anti-patterns found: with file:line references
- Logout/cache gap if found
- Recommended PRs: each scoped to one logical refactor
Keep under 200 lines. File-level details stay in the raw search output, not in the report.
Boundaries
- Do NOT rewrite state management code. The report identifies gaps; engineering implements fixes.
- Do NOT touch source files in the client repo.
- Rendering performance (re-renders, memo usage) is covered by
frontend-review-performance.
Reference
- Checklist:
23-state-management.md,17-pure-io-separation.md,21-api-layer.md - Related:
frontend-review-performance(re-render profiling)