ljg-rank
降秩引擎
Works with
What it does
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
Installation Guide
How to use ljg-rank on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
ljg-rank
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches ljg-rank from lijigang/ljg-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ljg-rank. Access via /ljg-rank in your agent's command palette.
Security Notice
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.
Documentation
ljg-rank
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Use Cases
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale