ljg-paper-flow▌
lijigang/ljg-skills · updated Apr 8, 2026
一条命令完成：读论文 → 生成解读 → 铸成卡片。支持多篇并行。
ljg-paper-flow: 论文流
一条命令完成：读论文 → 生成解读 → 铸成卡片。支持多篇并行。
模式
强制 NATIVE 模式。 本 workflow 是纯 skill 管道（ljg-paper → ljg-card），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
| 参数 | 说明 |
|---|---|
| 无参数 | 对话中已提供的论文链接/文件 |
-l |
卡片模具改用长图模式（默认 -c 漫画） |
-i |
卡片模具改用信息图模式 |
执行
1. 收集论文列表
从用户消息中提取所有论文来源（arxiv URL、PDF 路径、论文名称等）。
2. 并行处理每篇论文
对每篇论文，启动一个 Agent subagent，每个 subagent 按顺序执行两步：
步骤 A — 读论文（ljg-paper）：
调用 Skill tool 执行 ljg-paper，传入该论文的来源。等待完成，获得生成的 org 文件路径。
步骤 B — 铸卡片（ljg-card）：
读取步骤 A 生成的 org 文件，调用 Skill tool 执行 ljg-card（默认 -c，或按用户指定的模具参数），以 org 文件内容为输入。等待完成，获得 PNG 文件路径。
3. 汇总报告
所有论文处理完成后，汇总输出：
════ 论文流完成 ═══════════════════════
📄 {论文标题1}
📝 解读: {org 文件路径}
🖼️ 卡片: {PNG 文件路径}
📄 {论文标题2}
📝 解读: {org 文件路径}
🖼️ 卡片: {PNG 文件路径}
...
关键约束
- 每篇论文的两步必须串行（先 paper 后 card），但多篇论文之间并行
- ljg-paper 和 ljg-card 各自的质量标准、红线、品味准则不变
- 卡片内容来自生成的 org 文件，不是原始论文
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★35 reviews- ★★★★★Chinedu Yang· Dec 24, 2024
Registry listing for ljg-paper-flow matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diego Kapoor· Dec 16, 2024
Keeps context tight: ljg-paper-flow is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aarav Iyer· Dec 12, 2024
We added ljg-paper-flow from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Nov 23, 2024
I recommend ljg-paper-flow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kiara Nasser· Nov 15, 2024
I recommend ljg-paper-flow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kaira Ghosh· Nov 15, 2024
ljg-paper-flow fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakura Rao· Nov 7, 2024
ljg-paper-flow has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Khanna· Nov 3, 2024
ljg-paper-flow reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hana Rahman· Oct 26, 2024
Solid pick for teams standardizing on skills: ljg-paper-flow is focused, and the summary matches what you get after install.
- ★★★★★Aditi Shah· Oct 22, 2024
Registry listing for ljg-paper-flow matched our evaluation — installs cleanly and behaves as described in the markdown.
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