771건 · 관련도순
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
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Author a completed-spec fixture — a seeded intent graph plus a believable four-phase interview transcript — for a brunch feature, so it can feed any downstream tooling that consumes a completed spec or dogfood the UI. Use when you need a real completed specification in .brunch/brunch.db for testing or demo: pick a feature from memory/SPEC.md (or a free description), choose a stress profile (coverage|clean), and produce a registered scenario seed + an interview-questions doc that match exactly.
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TanStack Router bundler plugin for route generation and automatic code splitting. Supports Vite, Webpack, Rspack, and esbuild. Configures autoCodeSplitting, routesDirectory, target framework, and code split groupings.
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Route loader option, loaderDeps for cache keys, staleTime/gcTime/ defaultPreloadStaleTime SWR caching, pendingComponent/pendingMs/ pendingMinMs, errorComponent/onError/onCatch, beforeLoad, router context and createRootRouteWithContext DI pattern, router.invalidate, Await component, deferred data loading with unawaited promises.
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Integrating TanStack Router with TanStack Query: queryClient in router context, ensureQueryData/prefetchQuery in loaders, useSuspenseQuery in components, defaultPreloadStaleTime: 0, setupRouterSsrQueryIntegration for SSR dehydration/hydration and streaming, per-request QueryClient isolation.
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validateSearch, search param validation with Zod/Valibot/ArkType adapters, fallback(), search middlewares (retainSearchParams, stripSearchParams), custom serialization (parseSearch, stringifySearch), search param inheritance, loaderDeps for cache keys, reading and writing search params.
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Collapse meaningful ambiguity with contrastive examples. Use when a plan/design has several plausible meanings, requirements feel vague, examples would clarify intent faster than grilling, or the user asks to disambiguate, find ambiguity, use behavioral kernels, or ask contrastive questions.
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Design verification strategy: diagnose observability, select oracle families, map to loop tiers, surface blind spots. Use after ln-plan when frontier items or scoped slices need oracle design — especially for LLM, visual, or compositional work — or when verification coverage has drifted.
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React bindings for TanStack Router: RouterProvider, useRouter, useRouterState, useMatch, useMatches, useLocation, useSearch, useParams, useNavigate, useLoaderData, useLoaderDeps, useRouteContext, useBlocker, useCanGoBack, Link, Navigate, Outlet, CatchBoundary, ErrorComponent. React-specific patterns for hooks, providers, SSR hydration, and createLink with forwardRef.
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Capture volatile session state into a structured handoff document before context is lost. Use when ending a session, switching threads, approaching context limits, or at any juncture the user chooses.
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Work with Graphite (gt) for stacked PRs. Use when creating, navigating, submitting, or managing PR stacks, or when the user mentions gt, Graphite, or stacked diffs.
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Time-boxed throwaway investigation to answer one hard question. Use when facing technical uncertainty before committing to a frontier item or scoped slice — the output is knowledge, not production code.
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Break a feature or project area into frontier items and update `memory/PLAN.md`. Re-run to retire completed work, reorder priorities, or add new items.
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Review someone else's PR through an architectural/strategic lens — does it shift design, raise complexity, or quietly change precedent? Drives a brief reflective discussion with the user, then posts a concise review comment via `gh`. Defers line-level and bug-hunting concerns to AI review bots and the PR author.
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Plan a refactor as a sequence of tiny safe commits via interview and codebase exploration. Use when restructuring working code, or when the user says 'plan a refactor'.
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Audit code quality focusing on deep modules, naming, model hygiene, and architectural clarity. Use after a burst of development, when codebase structure needs assessment, or to make code more agent-navigable.
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Refresh `memory/SPEC.md` and `memory/PLAN.md` in mature mode — restore canonical truth, archive retired plan history, delete stale derivative artifacts, and flag drift against code.
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notFound() function, notFoundComponent, defaultNotFoundComponent, notFoundMode (fuzzy/root), errorComponent, CatchBoundary, CatchNotFound, isNotFound, NotFoundRoute (deprecated), route masking (mask option, createRouteMask, unmaskOnReload).
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Link component, useNavigate, Navigate component, router.navigate, ToOptions/NavigateOptions/LinkOptions, from/to relative navigation, activeOptions/activeProps, preloading (intent/viewport/render), preloadDelay, navigation blocking (useBlocker, Block), createLink, linkOptions helper, scroll restoration, MatchRoute.
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Define one thin vertical slice with target behavior, risks, and acceptance criteria. Use when scoping the next piece of work before building, or when a slice from `memory/PLAN.md` needs precise definition.
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Uses the gh-axi CLI for GitHub shell operations: issue, pull request, workflow run, release, repo, search, and API tasks. Prefer this over regular `gh` for GitHub reads and simple mutations when an agent needs compact, structured, suggestion-rich output. Triggers on: gh, GitHub CLI, github issue, github pr, pull request, workflow run, github release, gh api, repo inspection, list PRs, view issue, check workflow runs, inspect repo, GitHub shell operations.
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Deep expertise in cmux — the terminal multiplexer with native browser views. Use when managing panes, reading terminal output, sending keystrokes, opening browser views, or manually testing web UIs and TUIs inside cmux. Triggers on: cmux, open a browser pane, split terminal, read screen, send keys, test this UI in cmux, preview in cmux.
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Throwaway design probe for logic, state models, UI variations, and affordances before production work. Use when the user wants to prototype, sanity-check a model, make something playable, compare UI directions, or explore a design before ln-spec/ln-plan/ln-scope.
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Manage Linear issues from the command line using the linear CLI. Use when creating, updating, listing, or searching Linear issues, managing projects, cycles, milestones, or initiatives, or making Linear API calls.
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