tanstack-query

A set of coding rules for TanStack Query, a library for fetching and managing data from a server in a web app.

In plain words
What is it for?
Structuring query keys, writing custom query and mutation hooks, defining reusable query options, validating responses, handling pagination, and applying optimistic updates.
Why use it?
It gives consistent patterns for queries and updates, including loading and error handling, request cancellation, caching keys, and refreshing data after changes.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/virastack/ai/tanstack-query
Clone the repo
git clone --depth 1 https://github.com/virastack/ai

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00751
Opus 5 $0.00000 $0.00376
Sonnet 5 $0.00000 $0.00150
Haiku 4.5 $0.00000 $0.00075

Measured yesterday against content hash d461599c86c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tanstack-query scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

templates/core/.cursor/rules/tanstack-query.mdc · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TanStack Query

Constraints

  • Structure: Use Query Key Factory (src/features/[feature]/api/query-keys.ts).
  • Hooks: Create custom hooks for every query/mutation.
  • Keys: Use as const. Establish hierarchical structure (all -> lists -> details).
  • Signal: Pass AbortSignal to the API function.
  • Invalidation: Invalidate relevant keys in mutation onSuccess.
  • Pagination: Include page and filters in the query key.

Bans

  • useQuery inside components (Custom hooks are mandatory).
  • Manual string query keys.
  • Using API responses without validation.
  • Ignoring Loading/Error states.

Mandatory Patterns

1. Query Options Factory (v5)

NEVER use inline objects in useQuery or loaders. ALWAYS define queries externally using the queryOptions function.

export const userQueryOptions = (id: string) => queryOptions({ queryKey: userKeys.detail(id), queryFn: ({ signal }) => fetchUser(id, signal) });

// Inside Component or Loader const { data } = useQuery(userQueryOptions(id));

2. Optimistic Updates

ALWAYS use the standard optimistic update pattern for mutations to ensure a snappy UI.

return useMutation({ mutationFn: (taskId: string) => api.patch(/tasks/${taskId}), onMutate: async (taskId) => { await queryClient.cancelQueries({ queryKey: taskKeys.all }); const previousTasks = queryClient.getQueryData<Task[]>(taskKeys.all);

  queryClient.setQueryData<Task[]>(taskKeys.all, (old) => 
    old?.map((t) => t.id === taskId ? { ...t, done: !t.done } : t)
  );
  
  return { previousTasks };
},
onError: (err, taskId, context) => {
  if (context?.previousTasks) {
    queryClient.setQueryData(taskKeys.all, context.previousTasks);
  }
},
onSettled: () => {
  queryClient.invalidateQueries({ queryKey: taskKeys.all });
}

}); };

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 100 lines · 0 tokens per session scan A d461599c86c6

Subscribe to this mod's changes

tanstack-query is a cursor rule published in the GitHub repository virastack/ai (23 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 751 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other cursor rules, from other repositories

marker-triage

Triage a Marker.io website-feedback backlog at scale. Use when asked to go through, categorize, prioritize, deduplicate, or make sense of many Marker.io issues at once. Splits content fixes from functional bugs, groups by page, rates criticality, flags duplicates and repeat reporters, surfaces quick wins, lists…

marker-io/mcp-skills · 85 tokens

marker-client-report

Turn a project's completed Marker.io work into a client-ready report. Use when asked to write a weekly or monthly recap for a client, summarize what was shipped or fixed this period, or produce a status update for a website project from Marker.io. Read-only: it reads issues and writes a markdown report, it does not…

marker-io/mcp-skills · 67 tokens

marker-insights

Aggregate Marker.io website feedback into recurring patterns. Use when asked to find the most common issues on a site, which pages get the most feedback, recurring content problems, or the content-vs-bug split across many Marker.io reports, and produce a prioritized brief for a website team or agency. Read-only: it…

marker-io/mcp-skills · 73 tokens

marker-bug-to-fix

Take one Marker.io bug report and produce a ready-to-review code fix. Use when asked to fix, investigate, reproduce, or find the root cause of a specific Marker.io issue in the current repository. Pulls the issue's screenshot, console errors, network requests and DOM, locates the cause in code, proposes a minimal…

marker-io/mcp-skills · 73 tokens

marker-sync

Keep Marker.io and your issue tracker (GitHub, Linear, Jira) in sync. Use when asked to pull new Marker.io issues into a tracker, enrich tracker tickets with Marker context, mark issues resolved or ready-to-test in both places, or reconcile status mismatches between Marker.io and the tracker.

marker-io/mcp-skills · 61 tokens

angular-20

This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.

angular/angular · 0 tokens