Headless data tables with server-side pagination, filtering, sorting, and virtualization for Cloudflare Workers + D1.
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
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
Submit your Claude Code skill and start earning
epx add jezweb/claude-skills --skill tanstack-tableCompatible with
Supported agents
Supports three rendering modes: client-side with core row model, server-side with manual state management, and virtualized rendering for 1000+ row datasets
Includes column/row pinning, row expanding with nested data, and row grouping with built-in aggregation functions (sum, min, max, mean, etc.)
Integrates with TanStack Query for coordinated data fetching and state s
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:
epx add jezweb/claude-skills --skill tanstack-tableFetches tanstack-table from jezweb/claude-skills 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:
.cursor/skills/tanstack-table
Restart Cursor to activate tanstack-table. Access via /tanstack-tablein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
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.
nutritional-specialist
ailabs-393/ai-labs-claude-skills · Productivity · same category
powerpoint
igorwarzocha/opencode-workflows · Productivity · same category
awwwards-landing-page
eng0ai/eng0-template-skills · Productivity · same category
storyboard-manager
ailabs-393/ai-labs-claude-skills · Productivity · same category
pine-developer
traderspost/pinescript-agents · Productivity · same category
php-pro
jeffallan/claude-skills · Productivity · same category
I recommend tanstack-table for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
tanstack-table has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: tanstack-table is focused, and the summary matches what you get after install.
tanstack-table fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tanstack-table has been reliable in day-to-day use. Documentation quality is above average for community skills.
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 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in tanstack-table — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
tanstack-table reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 31