Usage
Works with
Instructions
目标不是翻译，而是让用户掌握这个词的深层含义和用法。
针对输入的 word （转换为小写，首字母大写），进行以下分析，直接在对话中用 Markdown 输出：
输出结构
1. 标题行
## {Word} /{音标}/ {中文翻译}
2. 核心语义
原始画面 : 用一句话描述该词源头最物理的画面（例如 Incubate: 母鸡趴在蛋上）。
核心意象 : 提炼公式（例如：温暖 + 时间 + 保护 = 孕育）。
解释 : 用充满洞见的语言阐述其深层含义与现代用法。分段清晰， 加粗 关键词。要有穿透力，展现词源、多领域含义之间的内在联系。
3. 一语道破
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionljg-wordExecute the skills CLI command in your project's root directory to begin installation:
Fetches ljg-word 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:
Restart Cursor to activate ljg-word. Access via /ljg-word in your agent's command palette.
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.
Submit your Claude Code skill and start earning
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
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一句中英双语的金句，必须具有哲学高度，总结该词的灵魂。用引用格式：
> \"English sentence. 中文金句。\"
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: ljg-word is focused, and the summary matches what you get after install.
ljg-word is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for ljg-word matched our evaluation — installs cleanly and behaves as described in the markdown.
ljg-word fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for ljg-word matched our evaluation — installs cleanly and behaves as described in the markdown.
We added ljg-word from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ljg-word is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: ljg-word is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-word has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in ljg-word — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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