Khazix WeChat Article Writer
KKKKhazix/khazix-skills
Writes long-form WeChat official account articles in the personal style of the Khazix account, from briefs, links, PDFs or rough notes, with a topic quality check.
X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions.
Install Ljg Xray Article
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-article --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ljg-xray-article .claude/skills/ljg-xray-article && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .claude/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-articleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-article --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ljg-xray-article .agents/skills/ljg-xray-article && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .agents/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-article --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ljg-xray-article .cursor/skills/ljg-xray-article && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .cursor/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lijigang/ljg-skill-xray-article.git --path skills/ljg-xray-article--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-article --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ljg-xray-article .gemini/skills/ljg-xray-article && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .gemini/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-articleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ljg-xray-article .github/skills/ljg-xray-article && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .github/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lijigang/ljg-skill-xray-article ljg-xray-article --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lijigang/ljg-skill-xray-article.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ljg-xray-article .opencode/skills/ljg-xray-article && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ljg-xray-article" agent skill from https://github.com/lijigang/ljg-skill-xray-article/tree/master/skills/ljg-xray-article into .opencode/skills/ljg-xray-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ljg-xray-article", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ljg-xray-article- GitHub stars
- 130
- Token cost
- ~607 tokens
- SKILL.md length
- 115 words
- Files
- 3 (incl. references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions.
- Works in 2 steps: 文章说了什么：作者的真问题 → 真回答 → 论证骨架 → 对我意味着什么：认知碰撞卡片
- User shares a non-academic article URL
- SKILL.md covers 文章 vs 论文 vs 书, 执行步骤 and 输出质量标准
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ljg Xray Article is an agent skill from lijigang/ljg-skill-xray-article. X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions. Use when user shares a non-academic article URL or text for deep structural analysis. Do NOT use for academic papers (use ljg-xray-paper) or books (use ljg-xray-book).
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/methodology.md`).
It sits in Writing & Content, covering Blog and article writing. The repository describes itself as: 智慧X光机 — Claude Code Skill，四层漏斗透视文章，提炼可迁移智慧晶核. The licence is MIT.
When your agent uses it
- User shares a non-academic article URL
- Text for deep structural analysis
- Academic papers (use ljg-xray-paper)
- Books (use ljg-xray-book)
Example prompts
- “/ljg-xray-article”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- 文章说了什么：作者的真问题 → 真回答 → 论证骨架
- 对我意味着什么：认知碰撞卡片
What it can do on your machine
Read from SKILL.md and the folder at commit e23fa8b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ljg Xray Article loads about 607 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 115 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from lijigang/ljg-skill-xray-article at commit e23fa8b, republished under its MIT licence (© lijigang). 115 words, ~607 tokens.
Download SKILL.mdSave it as
.claude/skills/ljg-xray-article/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- ljg-xray-article
- description
- X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions. Use when user shares a non-academic article URL or text for deep structural analysis. Do NOT use for academic papers (use ljg-xray-paper) or books (use ljg-xray-book).
- user_invocable
- true
LJG-Xray-Article: 文章解读
你要做两件事，仅两件：
- 文章说了什么：作者的真问题 → 真回答 → 论证骨架
- 对我意味着什么：认知碰撞卡片
其它一切都服务于这两件事。
文章 vs 论文 vs 书
论文有数据，书有体系，文章有立场。
文章的价值不在信息密度（论文赢），不在结构深度（书赢），在于作者用个人视角切开一个问题。解读文章 = 找到那个切口，判断这刀切得准不准。
执行步骤
步骤 1：获取文章内容
- URL → WebFetch 获取
- 粘贴文本 → 直接使用
- 提取标题、作者（如有）
步骤 2：加载认知参照系
读取以下文件，建立李继刚的认知基线：
~/Documents/know/soul.md— 世界观、思维范式、核心信念~/Documents/know/memory.md— 长期记忆、知识连接
步骤 3：文章说了什么
像跟聪明朋友在饭桌上说"这篇文章在干什么"——人话，不要八股。
- 真问题：作者真正在回应什么？表面问题之下的那个痒点。标题说"如何提高效率"，真问题可能是"我对失控的恐惧"。提取方法见
references/methodology.md - 真回答：作者的核心主张。一句话。不是摘要，是那个去掉就全文坍塌的论点
- 论证骨架：靠什么撑起这个主张——关键论据（3个以内）、隐含假设（什么被默认为真）、边界（哪里会失效）
如果你提取的"真问题"= 文章标题的改写，重新挖。
配一张论证拓扑图（ASCII），画出从真问题到真回答的推理路径。
步骤 4：对我意味着什么
读完这篇文章，我带走什么？
soul.md + memory.md 提供"我是谁"的背景，但碰撞不限于已记录的条目。任何能改变我某个判断、打开某个盲区、或补充某个认知的洞见，都值得一张卡片：
- 一个之前没有的思维工具
- 一个改变了某个判断的新证据
- 一个没想过的角度
- 一个对已有认知的修正
对每个有碰撞的点，生成一张认知卡片（ASCII art）。
好卡片 vs 坏卡片：
坏卡片——把文字排进框，本质是列表：
+------------------+
| 文章说: X |
| 我原来想: Y |
| 现在变成: Z |
+------------------+好卡片——空间关系本身在说话，看排列就能懂：
Soul: "独立 > 一切"
|
| 但文章指出...
v
+------------------+
| 独立需要基础设施? |
+---+----------+---+
| |
YES NO
| |
选择性依赖 纯粹独立
(有底线) (幻觉?)
| |
v v
Soul 需加 Soul 成立
"依赖!=丧失" 但适用域窄好卡片的标准：遮住文字只看线条，仍能感受到结构关系（分叉、汇聚、层级、对比）。
卡片下方附一句金句级别的启发——能脱离文章上下文单独成立。压不成一句话 = 还没想透。
诚实原则：
- 没有碰撞就不造卡片。delta ≈ 0 是正常结果，不要硬凑
- 文章的可迁移洞见如果真的跨域有效，给出迁移方向——但不预设领域，去哪里取决于洞见本身的形状
步骤 5：生成 Org 报告
- 运行
date +%Y%m%dT%H%M%S和date "+%Y-%m-%d %a %H:%M" - 文件名：
{时间戳}--article-{简短标题}__read.org - 读取
references/template.org获取报告结构，按模板填充 - 写入
~/Documents/notes/{文件名}
输出质量标准
- 只有两个部分：文章说了什么 + 对我意味着什么。不加别的
- 真问题 ≠ 表面问题：如果你提取的问题 = 文章标题改写，重新挖
- 认知卡片 = ASCII art：视觉优先，一眼能看出碰撞关系。不是文字列表
- 卡片锚定具体场景：每张卡必须指向一个具体的思考方式、决策场景、或认知盲区的改变
- 诚实：delta = 0 就说 0
- 迁移不预设：去哪个领域由洞见决定，不由模板决定
- Org 加粗：用
*bold*（单星号），禁止**bold** - ASCII Art：仅用纯 ASCII 基础符号，不用 Unicode
© lijigang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/ljg-xray-article of lijigang/ljg-skill-xray-article.
- SKILL.md
- references/methodology.md
- references/template.org
Open the folder on GitHubat commit e23fa8b
Compare with similar skills
Ljg Xray Article next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ljg Xray Article this skilllijigang/ljg-skill-xray-article | 130 | — | ~607 | Automated safety check: Pass | MIT | |
| Khazix WeChat Article WriterKKKKhazix/khazix-skills | 21k | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Figurevectorize-io/hindsight | 48k | — | ~1.9k | Automated safety check: Pass | MIT | |
| SepiaNanako0129/sepia | 3.1k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Blog Post Draftingluongnv89/claude-howto | 42k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Notion To Blogwasp-lang/wasp | 19k | — | ~922 | Automated safety check: Pass | MIT |
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Draw an animated figure (boxes, arrows, moving data) as one self-contained SVG for a GitHub README, PR, issue or blog post.
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Nanako0129/sepia
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Related
Categories
Questions about Ljg Xray Article
What does Ljg Xray Article do?
X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions. Ljg Xray Article is an agent skill from lijigang/ljg-skill-xray-article. X-ray scans articles (blog posts, essays, opinion pieces) to extract the real question and cognitive collisions.
When should I use Ljg Xray Article?
Ljg Xray Article fits situations like: user shares a non-academic article URL; text for deep structural analysis; academic papers (use ljg-xray-paper); books (use ljg-xray-book).
How do I install Ljg Xray Article in Claude Code?
Run `npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a claude-code`. Or copy the skill folder (skills/ljg-xray-article in lijigang/ljg-skill-xray-article) into .claude/skills/ljg-xray-article in your project. Claude Code loads it when a task matches its description.
How do I install Ljg Xray Article in Codex?
Run `npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a codex`. Or copy the skill folder (skills/ljg-xray-article in lijigang/ljg-skill-xray-article) into .agents/skills/ljg-xray-article in your project. Codex loads it when a task matches its description.
Can I use Ljg Xray Article in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lijigang/ljg-skill-xray-article --skill ljg-xray-article -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ljg-xray-article, .gemini/skills/ljg-xray-article, .github/skills/ljg-xray-article and .opencode/skills/ljg-xray-article in your project.
What does Ljg Xray Article need to run?
SKILL.md names no scripts, command-line tools or credentials: Ljg Xray Article is instructions for the agent only.
Does Ljg Xray Article access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ljg Xray Article safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ljg Xray Article use?
Ljg Xray Article is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ljg Xray Article use?
About 607 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 686 tokens, read only when the agent opens those files.
What are the alternatives to Ljg Xray Article?
Skills that share tags, products or a category with Ljg Xray Article: Khazix WeChat Article Writer (KKKKhazix/khazix-skills, 21k stars), Figure (vectorize-io/hindsight, 48k stars), Sepia (Nanako0129/sepia, 3.1k stars) and Blog Post Drafting (luongnv89/claude-howto, 42k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ljg Xray Article?
lijigang (a GitHub user) maintains it in lijigang/ljg-skill-xray-article, which has 130 GitHub stars. The repository was last updated on February 24, 2026.
Source: lijigang/ljg-skill-xray-article on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.