next-shadcn-dashboard-starter is an open-source Next.js template for building admin dashboards with working tables, forms, authentication, organizations, and billing. It is intended as a starting point for SaaS products and internal tools that need reusable TypeScript, Tailwind CSS, and shadcn/ui patterns. The catalogue entries provide skills and instructions for working with this dashboard project.
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.
npx skills add Kiranism/next-shadcn-dashboard-starter --skill tanstack-querygit clone --depth 1 https://github.com/Kiranism/next-shadcn-dashboard-starterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/tanstack-query)<a href="https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/tanstack-query"><img src="https://agentmods.dev/badge/skills/kiranism/next-shadcn-dashboard-starter/tanstack-query/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/tanstack-query"><img src="https://agentmods.dev/badge/skills/kiranism/next-shadcn-dashboard-starter/tanstack-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.02715 |
| Opus 5 | $0.00024 | $0.01358 |
| Sonnet 5 | $0.00010 | $0.00543 |
| Haiku 4.5 | $0.00005 | $0.00271 |
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 9d ago.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tanstack-query — 100% identical, 57 lines differ
How it starts
The opening of the file, as written. The whole thing — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TanStack Query Patterns
Purpose
Modern data fetching with TanStack Query v5 (latest: 5.90.5, November 2025), emphasizing Suspense-based queries, cache-first strategies, and centralized API services.
Note: v5 (released October 2023) has breaking changes from v4:
isLoading→isPendingfor statuscacheTime→gcTime(garbage collection time)- React 18.0+ required
- Callbacks removed from useQuery (onError, onSuccess, onSettled)
keepPreviousDatareplaced withplaceholderDatafunction
When to Use This Skill
- Fetching data with TanStack Query
- Using useSuspenseQuery or useQuery
- Managing mutations
- Cache invalidation and updates
- API service patterns
Quick Start
Primary Pattern: useSuspenseQuery
For all new components, use useSuspenseQuery:
import { useSuspenseQuery } from '@tanstack/react-query';
import { postsApi } from '~/features/posts/api/postsApi';
function PostList() {
const { data: posts } = useSuspenseQuery({
queryKey: ['posts'],
queryFn: postsApi.getAll,
});
return (
<div>
{posts.map(post => (
<PostCard key={post.id} post={post} />
))}
</div>
);
}
// Wrap with Suspense
<Suspense fallback={<PostsSkeleton />}>
<PostList />
</Suspense>
Benefits:
- No
isLoadingchecks needed - Integrates with Suspense boundaries
- Cleaner component code
- Consistent loading UX
useSuspenseQuery Patterns
Basic Usage
const { data } = useSuspenseQuery({
queryKey: ['user', userId],
queryFn: () => userApi.get(userId),
});
// data is never undefined - guaranteed by Suspense
return <div>{data.name}</div>;
With Parameters
function UserPosts({ userId }: { userId: string }) {
const { data: posts } = useSuspenseQuery({
queryKey: ['users', userId, 'posts'],
queryFn: () => postsApi.getByUser(userId),
});
return <div>{posts.length} posts</div>;
}
Dependent Queries
function PostDetails({ postId }: { postId: string }) {
// First query
const { data: post } = useSuspenseQuery({
queryKey: ['posts', postId],
queryFn: () => postsApi.get(postId),
});
// Second query depends on first
const { data: author } = useSuspenseQuery({
queryKey: ['users', post.authorId],
queryFn: () => userApi.get(post.authorId),
});
return <div>{author.name} wrote {post.title}</div>;
}
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 473 lines · 48 tokens per session scan A 00626bc12d96
tanstack-query is a skill published in the GitHub repository Kiranism/next-shadcn-dashboard-starter (6,962 stars, last pushed 15d ago), licensed MIT. It adds 48 tokens to every session and 2,715 once invoked, about $0.0002 per session on Opus 5. 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.
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