Use context7 for the latest documentation. Use deepwiki to ask questions about the library's implementation.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontanstack-tableExecute the skills CLI command in your project's root directory to begin installation:
Fetches tanstack-table from casper-studios/casper-marketplace and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tanstack-table. Access via /tanstack-table in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
7
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Run in your terminal
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Use context7 for the latest documentation. Use deepwiki to ask questions about the library's implementation.
TanStack/table/tanstack/tableThis skill covers TanStack Table library patterns with the meta field for passing behavior to cells.
// 1. Extend TableMeta for type safety
declare module '@tanstack/react-table' {
interface TableMeta<TData extends RowData> {
onEdit?: (id: string) => void;
onDelete?: (id: string) => void;
}
}
// 2. Hoist column definitions outside component
const columnHelper = createColumnHelper<Job>();
const columns = [
columnHelper.accessor('name', {
header: 'Name',
cell: info => info.getValue(),
}),
columnHelper.display({
id: 'actions',
cell: ({ row, table }) => (
<Button onClick={() => table.options.meta?.onEdit?.(row.original.id)}>Edit</Button>
),
}),
];
// 3. Pass callbacks via meta
function DataTable({ data, onEdit, onDelete }: Props) {
const table = useReactTable({
data,
columns,
getCoreRowModel: getCoreRowModel(),
meta: { onEdit, onDelete },
});
return <Table>...</Table>;
}
Closures in column definitions cause re-renders:
// Bad - new column array every render
const columns = useMemo(() => [
{
cell: ({ row }) => (
<Button onClick={() => onEdit(row.original.id)}>Edit</Button>
),
},
], [onEdit]); // Invalidates when onEdit changes
// Good - stable columns, dynamic meta
const columns = [...]; // Hoisted, never changes
const table = useReactTable({
meta: { onEdit }, // Only meta changes
});
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
tanstack-table is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added tanstack-table from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tanstack-table reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend tanstack-table for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
tanstack-table fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: tanstack-table is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for tanstack-table matched our evaluation — installs cleanly and behaves as described in the markdown.
tanstack-table fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for tanstack-table matched our evaluation — installs cleanly and behaves as described in the markdown.
tanstack-table has been reliable in day-to-day use. Documentation quality is above average for community skills.
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