ljg-travel

A travel research workflow that generates structured org-mode knowledge documents and portable PNG reference cards for cultural travel, focusing on museums, ancient architecture, and archaeological sites.

5.8K
Installs
4
Use cases
5/10
Quality

Is ljg-travel safe to install?

Review the source first

Review the source first: our audit of ljg-travel's source files found 4 shell commands, 5 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands and makes network requests to various social media and content platforms to perform research and content analysis.

How we audit skills: our security review methodology.

Who is this skill for?

Users planning deep cultural travel who require archaeological-style desk-based assessments of cities.

What can you do with it?

  • Generating structured travel research documents in org-mode format.
  • Creating portable PNG reference cards for city civilization overviews and visiting routes.
  • Conducting multi-dimensional research on historical layers, museum collections, and ancient architectural heritage.
  • Filtering and summarizing deep-dive content from platforms like Bilibili, Zhihu, and WeChat.

How good is this skill?

Quality score: 5/10. The skill provides a clear, well-structured methodology for cultural travel research. It includes specific constraints and error-handling rules for its sub-processes.

What does the skill file contain?

SKILL.md
# ljg-travel-flow: 旅行研究

一条命令完成:全维度文化研究 → 内容提炼 → org 文档 + 便携卡片。

方法论借鉴考古学 Desk-Based Assessment(DBA):到达之前,穷尽一切文献证据。

## 模式

**强制 NATIVE 模式。** 本 workflow 是多 skill 管道(Research → ContentAnalysis → ljg-card),不走 Algorithm 七步流程。

## 参数

| 参数 | 说明 | 示例 |
|------|------|------|
| 城市名 | 必填,目标城市 | 西安、洛阳、大同 |
| `-f` | 聚焦主题(可选) | `-f 唐代` `-f 石窟` `-f 青铜器` |
| `-q` | 快速模式,跳过内容提炼,只做研究+文档 | |

## 执行

### 1. 解析参数

从用户消息中提取城市名称和可选参数。如有聚焦主题,后续所有搜索围绕该主题展开。

### 2. 全维度研究(Research extensive — 单次调用,12 个 Agent 并行)

调用 Skill tool 执行 `Research`,使用 extensive 模式。

**核心设计:不分"知识底图"和"平台发现"两步——它们是同一个研究操作的不同搜索角度。** 12 个 Agent...

Frequently asked questions

What output formats does this skill produce?

It produces a structured org-mode document saved to ~/Documents/notes/ and two PNG image cards.

Can I skip the content analysis step?

Yes, using the -q parameter triggers a fast mode that skips content analysis and focuses only on research and document generation.

What happens if content analysis fails for a specific URL?

The workflow skips that specific URL and continues, as content analysis is an optional enhancement layer.

How does the skill handle research?

It uses 12 parallel agents to perform extensive research across academic, encyclopedia, and social media platforms using both Chinese and English keywords.

Data sourced from lijigang/ljg-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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