降秩引擎
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-rankCompatible with
Supported agents
输入一个领域，输出它的秩。
秩是什么
秩不是\"关键要素\"，不是\"核心原则\"，不是\"总结要点\"。
秩是：这个领域里真正独立的生成器有几个？用它们能反向生成全部现象？能，才算找到。
四个判据
这四条全过，秩才立。任何一条失败，推倒重来。
生成性 ——用生成器能把每个观察到的现象推回来。一个都不能漏。
最小性 ——关掉任何一个生成器，就有现象解释不了。没有冗余。
独立性 ——每对生成器能找到真实案例：一个变了另一个没变。
预测力 ——用生成器能推导出原始清单之外的现象，且现实中确实存在。
怎么写
写一篇散文。不是填一张表。
你的任务是带着读者走一段路：从\"这个领域看着挺乱\"走到\"原来就这两三根线在牵\"。这段路怎么走，你自己决定。没有规定的章节、没有规定的格式、没有规定的小标题。
唯一的要求是三条：
想一口气读完 ——不了解这个领域的人也停不下来
记得住 ——读完能转身跟朋友用一句话说清楚
有落差 ——从混沌到极简的反差，就是降秩的美感
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionljg-rankExecute the skills CLI command in your project's root directory to begin installation:
epx add lijigang/ljg-skills --skill ljg-rankFetches ljg-rank 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-rank
Restart Cursor to activate ljg-rank. Access via /ljg-rankin 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.
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ljg-rank is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ljg-rank reduced setup friction for our internal harness; good balance of opinion and flexibility.
ljg-rank has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for ljg-rank matched our evaluation — installs cleanly and behaves as described in the markdown.
ljg-rank has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: ljg-rank is focused, and the summary matches what you get after install.
Keeps context tight: ljg-rank is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in ljg-rank — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added ljg-rank from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ljg-rank is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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