narrow-react-prop-types

humanlayer/skills · Agent Skill

Tipi di proprietà dei componenti React stretti corrispondenti ai percorsi di codice live, invece di storie estese, .mock o contratti di test.

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AutorehumanlayerOrganizzazione
Repositoryhumanlayer/skills ↗
Cartella dello skillnarrow-react-prop-types
Stelle5466
Fork180
File inclusi4
LicenzaMIT
Aggiornato8 ottobre 2026
LinkSorgente dello skill ↗ · Repository ↗

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Installazione

Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.

Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.

Install the “narrow-react-prop-types” skill from mozgi.io (https://mozgi.io/skills/humanlayer-narrow-react-prop-types/) for me.

1. Download the archive: https://mozgi.io/skills/humanlayer-narrow-react-prop-types/download
   If it fails, take the skill folder from the source: https://github.com/humanlayer/skills/tree/main/plugins/narrow-react-prop-types/skills/narrow-react-prop-types
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “narrow-react-prop-types” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/narrow-react-prop-types/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

File dello skill

4 file Scarica ZIP

Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.

Contenuto di SKILL.md

Testo originale dell'autore · sola lettura

Narrow React Prop Types

Use this skill when a React component's props have been widened for stories, mocks, tests, or demos and now express states the live application does not enter.

The goal is to make component types describe the real live-code-path contract, then require stories/tests/mocks to adapt to that contract instead of weakening it.

Core Requirements

  • Find the actual non-test, non-Storybook call sites before changing types.
  • Treat live code paths as the source of truth for the prop contract.
  • Do not preserve optional props only because they make Storybook, tests, or mock data easier.
  • Keep props optional only when there are non-Storybook, non-test call sites which do not provide them and which have a good reason for not doing so.
  • Types should not enable expressing states which are not observed in non-test, non-Storybook call sites.
  • Types should be as strict as possible so code can be as simple as possible.
  • Prefer deriving and extracting types from existing live-code-path values and APIs where possible.

Workflow

For an example recurring GitHub Actions workflow that runs this skill through CodeLayer, see references/agent-narrow-component-props.yml. Its example agent memory file is references/narrow-component-props-memory.md. For CI agent response formatting, see references/response-template.md.

1. Identify the suspect component

Look for components with these signals:

  • Large props interfaces with many optional fields.
  • Optional callback calls such as onSelect?.(...) or onArchive?.(...).
  • Fallback state handling such as items ?? [], count ?? 0, or handler && ... around values live code likely always supplies.
  • UI affordances that always render even though their callbacks are optional.
  • Props that look demo-oriented, such as defaultFoo, alternate handler shapes, or display toggles not used by live code.

Do not pick a target from a story or test alone. Use stories/tests only as supporting evidence that the type has been widened, not as evidence that a state is real.

2. Find every live usage

Search for all imports/usages of the component, exported prop type, and shared child primitives.

Classify call sites by whether they are live code paths or support code:

  • Live code paths: app routes, wired components, providers, hooks, production package exports, and shared components used by those paths.
  • Support code: Storybook stories, test files, fixtures, mocks, demo harnesses, and visual-only examples.

Only live code paths should determine what the component API supports.

3. Derive the real types from the live code paths

Read the live call sites and classify each prop:

  • Required: every non-test, non-Storybook call site supplies it.
  • Optional: at least one non-test, non-Storybook call site omits it and that omission is a meaningful runtime state.
  • Removed: no non-test, non-Storybook call site uses it.

Nullability and optionality are different. If live code always passes a prop but the value can be empty, prefer a required nullable prop such as focusedItem: FocusedItem | null over focusedItem?: FocusedItem | null.

4. Tighten the public prop type

Update exported prop types to match only the states observed in live code paths.

The looser and more optional a type is, the more possible states the component has to reason about. Every optional prop creates another branch the component must handle, test, and keep correct. Prefer strict types that prevent impossible states instead of broad types that require defensive render logic.

If the component always renders an interactive affordance, require the handler that makes it work. Do not allow inert states like a visible menu item that calls onRename?.(...).

5. Derive and extract types where possible

Prefer deriving types from the live APIs instead of restating them manually:

  • Parameters<typeof fn>[0] for function argument types.
  • ReturnType<typeof fn> for return types.
  • Extract<Union, Shape> for narrowing a union to a real variant.
  • React.Dispatch<React.SetStateAction<T>> for React state setters instead of approximating them as (value: T) => void.

Prefer explicit state type parameters when inference would widen or obscure the intended state shape:

const [dialogState, setDialogState] = useState<DialogState>({
  id: null,
  isOpen: false,
})

Avoid relying on implicit useState(...) inference when it produces broad nullable object shapes, string literal widening, or callback types that later need hand-written approximations.

6. Tighten internal child props too

Do not stop at the exported component if it passes broad props into child primitives.

If row/menu/button child components receive optional handlers only because the parent props were broad, tighten those internal props too. Replace optional calls like this:

onRename?.(id, name)

with required calls:

onRename(id, name)

7. Remove fallback logic for unsupported states

Once props are required, remove defensive fallbacks that only existed for widened types.

Examples:

new Set(expandedIds ?? defaultExpandedIds ?? [])

should become:

new Set(expandedIds)
items && items.length > 0

should become:

items.length > 0

8. Update all variants that share the prop type

If multiple components share the broad prop type, update them together so they all enforce the same live-code-path contract.

9. Let tests and stories adapt to live code

If a story or test breaks after narrowing props, fix it by providing realistic handlers and state. Do not make live-code-path props optional again to reduce test setup.

If the story/test setup feels verbose, create a test helper or fixture that satisfies the strict live-code-path contract. Keep the helper in support code; do not weaken the component API.

10. Validate the change

Run package-level typechecks for the changed package and each live app/package that consumes the changed component.

Use repository-specific validation commands when available. In this monorepo, prefer:

bun --bun run typecheck --filter <package>

11. Format the response

When running as a CI agent, format your final response according to references/response-template.md. This response becomes the PR body.

Include:

  • Summary of how many components were narrowed
  • Table of changes with rationale
  • Live call sites that justify each narrowing
  • Support code (stories/tests) that needed updating
  • Validation results
  • Risk assessment

Review Checklist

  • The changed prop type was derived from non-test, non-Storybook call sites.
  • Optional callbacks are removed for always-rendered interactions.
  • Rendered menu items and buttons cannot be inert because of missing handlers.
  • Removed props are not used by live code paths.
  • Nullability is preserved only for real states, such as no current focus.
  • Types are derived or extracted where possible rather than manually duplicated.
  • useState<T>(...) is used where inference would otherwise widen or obscure the intended state.
  • Shared variants compile against the same narrowed contract.
  • Typecheck passes for the shared package and consuming live app/package.

Anti-Patterns to Avoid

  • Making callbacks optional so stories can omit them.
  • Rendering a menu item that calls onAction?.(...).
  • Adding default* props for Storybook when live code is controlled.
  • Using ?? [] or ?? 0 to hide missing required live state.
  • Accepting multiple API shapes when live code only uses one.
  • Treating pure components as mock components with relaxed contracts.

Domande frequenti

Che cosa fa lo skill narrow-react-prop-types?

Tipi di proprietà dei componenti React stretti corrispondenti ai percorsi di codice live, invece di storie estese, .mock o contratti di test.

Come si installa narrow-react-prop-types?

Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.

Con quali modelli AI funziona narrow-react-prop-types?

Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi narrow-react-prop-types funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.

narrow-react-prop-types è gratuito?

Lo skill è pubblicato apertamente da humanlayer con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.

È sicuro installare gli skill?

Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.

In cosa differisce uno skill da un server MCP o da un plugin?

Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.

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