How to install ljg-word-flow
npx skills add https://github.com/lijigang/ljg-skills --skill ljg-word-flowFull instructions (SKILL.md)
Source of truth, from lijigang/ljg-skills.
name: ljg-word-flow description: "Word flow: deep-dive word analysis + infograph card in one go. Takes one or more English words, runs ljg-word (generates deep semantics analysis) then ljg-card -i (generates infograph PNG). Use when user says '词卡', 'word card', 'word flow', or provides English words wanting both analysis and visual card." user_invocable: true version: "1.0.1"
ljg-word-flow: 词卡
一条命令完成:解词 → 铸信息图。支持多词并行。
模式
强制 NATIVE 模式。 本 workflow 是纯 skill 管道(ljg-word → ljg-card -i),不需要 Algorithm 的七步流程。直接按下方执行步骤调用 skill,不走 OBSERVE/THINK/PLAN/BUILD/EXECUTE/VERIFY/LEARN。
参数
直接传入一个或多个英文单词,空格分隔。
/ljg-word-flow Obstacle
/ljg-word-flow Serendipity Resilience Entropy
执行
1. 收集单词列表
从用户消息中提取所有英文单词。
2. 处理每个单词
对每个单词,串行执行两步:
步骤 A — 解词(ljg-word):
调用 Skill tool 执行 ljg-word,传入单词。在对话中输出 Markdown 解析结果。
步骤 B — 铸信息图(ljg-card -i):
以步骤 A 的解析内容为输入,调用 Skill tool 执行 ljg-card -i。生成 PNG 文件到 ~/Downloads/。
3. 多词并行
多个单词时,每个单词启动一个 Agent subagent 并行处理(每个 subagent 内部 A→B 串行)。
4. 汇总报告
════ 词卡完成 ═══════════════════════
📖 {Word1}
🖼️ ~/Downloads/{Word1}.png
📖 {Word2}
🖼️ ~/Downloads/{Word2}.png
...
关键约束
- 先解词后铸卡,顺序不可逆
- ljg-word 和 ljg-card -i 各自的质量标准不变
- 信息图内容来自解词结果,不是字典释义
Related skills
More from lijigang/ljg-skills and the wider catalog.
ljg-travel
Deep travel research workflow for museums and ancient architecture. Input a city name, auto-generates structured knowledge document (org-mode) + portable reference cards (PNG). Covers historical background, museum highlights, archaeological significance, and architectural heritage. Use when user says '旅行研究', '博物馆功课', '古建功课', 'travel research', '出发前功课', or provides a city name with intent to do deep cultural travel preparation.
ljg-card
Content caster (铸). Transforms content into PNG visuals. Seven molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v editorial sketchnote (problem→failure→pivot→insight→naming, magazine + archive layout), -c comic (manga-style B&W), -w whiteboard (marker-style board layout), -b big-fonts attachment card (1080x1440, weathered 碑刻 style for 小红书). Output to ~/Downloads/. Use when user says '铸', 'cast', '做成图', '做成卡片', '做成信息图', '做成海报', '视觉笔记', 'sketchnote', '杂志', 'editorial', '漫画', 'comic', 'manga', '白板', 'whiteboard', '大字', '附件图', 'big fonts', '小红书卡片'. Replaces ljg-cards and ljg-infograph.
ljg-roundtable
Agent skill from lijigang/ljg-skills.
ljg-paper
Paper reader for non-academics. Reads a paper and tells it back as one continuous story — the life of the paper's core proposition (命题), told on a seven-beat spine (主角 / 困境 / 旧路 / 转折 / 解法 / 结局 / 内核): born in a bind on a base-rate ruler, crystallized as a bold conjecture, argued through mechanism and evidence, distilled into a new way of seeing, then walked out of the paper — life-tested and cashed into falsifiable predictions (检验). Output opens with a scannable 速读 card (一句话 / 大想法 / 只记三件事) that compresses the whole story three ways for the time-poor reader and the six-months-later self, then tells the full story. The job is storytelling that makes the paper land, not academic critique. Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Trigger words: '读论文', '讲论文', '把这篇讲给我听', '分析论文', 'paper', or when user shares an academic paper.
ljg-plain
Agent skill from lijigang/ljg-skills.
ljg-learn
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces org-mode output.