将内容铸成可见的形态。内容进去，PNG 出来。模具决定形状。
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 lijigang/ljg-skills --skill ljg-cardCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionljg-cardExecute the skills CLI command in your project's root directory to begin installation:
epx add lijigang/ljg-skills --skill ljg-cardFetches ljg-card from lijigang/ljg-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/ljg-card
Restart Cursor to activate ljg-card. Access via /ljg-cardin 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.
premortem
parcadei/continuous-claude-v3 · Productivity · same category
travel-planner
ailabs-393/ai-labs-claude-skills · Productivity · same category
yt-dlp
lwmxiaobei/yt-dlp-skill · Productivity · same category
powerpoint
igorwarzocha/opencode-workflows · Productivity · same category
reverse-engineering-tools
gmh5225/awesome-game-security · Productivity · same category
drizzle
lobehub/lobehub · Productivity · same category
ljg-card has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: ljg-card is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-card reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in ljg-card — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for ljg-card matched our evaluation — installs cleanly and behaves as described in the markdown.
ljg-card is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: ljg-card is focused, and the summary matches what you get after install.
Keeps context tight: ljg-card is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-card has been reliable in day-to-day use. Documentation quality is above average for community skills.
ljg-card fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 65