cjl-paper-flow
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs cjl-paper (generates org analysis) then cjl-card -l (generates long reading card PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards.
Best use case
cjl-paper-flow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs cjl-paper (generates org analysis) then cjl-card -l (generates long reading card PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards.
Teams using cjl-paper-flow should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cjl-paper-flow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cjl-paper-flow Compares
| Feature / Agent | cjl-paper-flow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs cjl-paper (generates org analysis) then cjl-card -l (generates long reading card PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# cjl-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（cjl-paper → cjl-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 |
| `-c` | 卡片模具改用多卡模式（默认 `-l` 长图） |
| `-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（cjl-paper）：**
调用 Skill tool 执行 `cjl-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（cjl-card）：**
读取步骤 A 生成的 org 文件，调用 Skill tool 执行 `cjl-card`（默认 `-l`，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
- cjl-paper 和 cjl-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Related Skills
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