Use context7 for the latest documentation. Use deepwiki to ask questions about the library's implementation.
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 casper-studios/casper-marketplace --skill tanstack-tableCompatible with
Supported agents
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 casper-studios/casper-marketplace --skill tanstack-tableFetches 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:
.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.
tanstack-query-best-practices
deckardger/tanstack-agent-skills · Productivity · tag: tanstack
premortem
parcadei/continuous-claude-v3 · Productivity · same category
wordpress-elementor
jezweb/claude-skills · Productivity · same category
pagespeed-insights
enderpuentes/ai-agent-skills · Productivity · same category
smart-ocr
claude-office-skills/skills · Productivity · same category
storyboard-manager
ailabs-393/ai-labs-claude-skills · Productivity · same category
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.
showing 1-10 of 38