Agent skill

Article Study

by yunshu0909 in yunshu0909/yunshu_skillshub

带用户精读一篇文章/文档并真正学透（不是出摘要）。五步：抽干货 → 切讲次 → 每讲跑「学-考-讲」循环 → 对号入座 → 实操+测验+讲错题+蒸馏。每讲产出 HTML 课件 + 笔记落盘；讲完必考一次，用户复述后必须挑不精确处拧紧；抽象概念上可交互演示（能点能跑）；全程用用户自己的业务场景当案例；学完出多题型自动判分测验卷，最后把收获蒸馏回用户的工具。核心触发条件是用户要的是"学会"而不是"要…

MITAuto-check passedProduct & Project Management

Install Article Study

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/learning/article-study .claude/skills/article-study && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .claude/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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

$skill-installer install https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study

Type 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.

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/learning/article-study .agents/skills/article-study && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .agents/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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.

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/learning/article-study .cursor/skills/article-study && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .cursor/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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

$ gemini skills install https://github.com/yunshu0909/yunshu_skillshub.git --path learning/article-study

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/learning/article-study .gemini/skills/article-study && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .gemini/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study

Installs 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).

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .github/skills && cp -r skills-src/learning/article-study .github/skills/article-study && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .github/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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.

skills CLI

$ npx skills add yunshu0909/yunshu_skillshub --skill article-study -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install yunshu0909/yunshu_skillshub article-study --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/learning/article-study .opencode/skills/article-study && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "article-study" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/learning/article-study into .opencode/skills/article-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-study", 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: article-study
GitHub stars: 767
Token cost: ~964 tokens
SKILL.md length: 147 words
Files: 11 (incl. references)
Skills in repo: 25
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: 不做自学大纲：你是带着学的老师，不是列书单的人。每一讲的内容你自己讲出来，不要写"… → 每讲必考：讲完一定要用户输出（复述 / 做题 / 动手写）。说不出来 = 没学会。 → 复述必拧紧：用户总结完，必须挑一到两处不精确的地方校准，且拧紧那句必须是否定/收窄… → …
Tasks that involve PRD writing
SKILL.md covers 五条红线（违反即返工）, 开跑前（只问这些，其余别问）, 五步主流程 and 四个坑（都是真踩过的）, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Article Study is an agent skill from yunshu0909/yunshu_skillshub. 带用户精读一篇文章/文档并真正学透（不是出摘要）。五步：抽干货 → 切讲次 → 每讲跑「学-考-讲」循环 → 对号入座 → 实操+测验+讲错题+蒸馏。每讲产出 HTML 课件 + 笔记落盘；讲完必考一次，用户复述后必须挑不精确处拧紧；抽象概念上可交互演示（能点能跑）；全程用用户自己的业务场景当案例；学完出多题型自动判分测验卷，最后把收获蒸馏回用户的工具。核心触发条件是用户要的是"学会"而不是"要一份结果"，例如"我们一起学这篇文章/这个链接"、"带我学"、"精读"、"我想学会 X"、"这篇我看不懂你给我讲讲"。有具体材料（链接、本地文件、PDF，或用户自己的 skill/文档/代码）时直接开跑；只有学习意图而没材料时仍走本 skill，但开工第一件事是和用户一起把材料定下来，禁止凭记忆开讲。不适用于：只要一份总结/摘要/教程长文，用户读完就完、不需要答题（用 readable-output）、只是搜集资料做调研（使用可用的网页/平台取材工具）、帮我写 PRD/测试用例（用 prd-test-writer）、以及用户其实是想让你直接把活干了（那就直接做）。

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `agents/openai.yaml`, `references/README.md` and `templates/学习计划.md`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: 云舒精选的 Claude Code Skills 集合，提升开发和产品管理效率. The licence is MIT.

When your agent uses it

Tasks that involve PRD writing

Example prompts

“我们一起学这篇文章/这个链接”
“我想学会 X”
“这篇我看不懂你给我讲讲”
“/article-study”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

不做自学大纲：你是带着学的老师，不是列书单的人。每一讲的内容你自己讲出来，不要写"建议你去读 X 章"。
每讲必考：讲完一定要用户输出（复述 / 做题 / 动手写）。说不出来 = 没学会。
复述必拧紧：用户总结完，必须挑一到两处不精确的地方校准，且拧紧那句必须是否定/收窄结构（"关键不在 A 在 B" / "这里少了第三条腿" / "这个词不可判定，换成 X"）。写成"补充一点…" = 没拧紧，重写。
对号入座：每一讲都要落到用户自己的业务场景 / 现有工具 / 真实痛点上。接不上时先停下来问，不许硬贴标签。
原文与推论视觉可分：短文章必然要靠你的推论撑分量，但哪些是原文说的、哪些是你推的，必须一眼可辨（推论进 details 或标「原文没直说，但成立」）。否则"我读了一篇文章"会悄悄变成"我听了 AI 讲课"。

What it can do on your machine

Read from SKILL.md and the folder at commit da0d31f. 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

Article Study loads about 964 tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~125
When it runs · the whole SKILL.md, loaded when a task matches: ~964
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.5k

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 yunshu0909/yunshu_skillshub at commit da0d31f, republished under its MIT licence (© yunshu0909). 147 words, ~964 tokens.

Download SKILL.mdSave it as .claude/skills/article-study/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.

name: article-study
description: 带用户精读一篇文章/文档并真正学透（不是出摘要）。五步：抽干货 → 切讲次 → 每讲跑「学-考-讲」循环 → 对号入座 → 实操+测验+讲错题+蒸馏。每讲产出 HTML 课件 + 笔记落盘；讲完必考一次，用户复述后必须挑不精确处拧紧；抽象概念上可交互演示（能点能跑）；全程用用户自己的业务场景当案例；学完出多题型自动判分测验卷，最后把收获蒸馏回用户的工具。核心触发条件是用户要的是"学会"而不是"要一份结果"，例如"我们一起学这篇文章/这个链接"、"带我学"、"精读"、"我想学会 X"、"这篇我看不懂你给我讲讲"。有具体材料（链接、本地文件、PDF，或用户自己的 skill/文档/代码）时直接开跑；只有学习意图而没材料时仍走本 skill，但开工第一件事是和用户一起把材料定下来，禁止凭记忆开讲。不适用于：只要一份总结/摘要/教程长文，用户读完就完、不需要答题（用 readable-output）、只是搜集资料做调研（使用可用的网页/平台取材工具）、帮我写 PRD/测试用例（用 prd-test-writer）、以及用户其实是想让你直接把活干了（那就直接做）。
metadata.status: active
metadata.status_updated_at: 2026-10-06

和用户一起学一篇文章

哲学：「读一遍觉得懂了」是流畅性错觉——和 AI 说「完成了」一样，是主观判断。这套流程干的事，就是把学习也做成可验证的：输入结构化、过程有考试、错题定位回退。一句话：学东西和写代码，用的是同一套质检逻辑。

五条红线（违反即返工）

不做自学大纲：你是带着学的老师，不是列书单的人。每一讲的内容你自己讲出来，不要写"建议你去读 X 章"。
每讲必考：讲完一定要用户输出（复述 / 做题 / 动手写）。说不出来 = 没学会。
复述必拧紧：用户总结完，必须挑一到两处不精确的地方校准，且拧紧那句必须是否定/收窄结构（"关键不在 A 在 B" / "这里少了第三条腿" / "这个词不可判定，换成 X"）。写成"补充一点…" = 没拧紧，重写。
对号入座：每一讲都要落到用户自己的业务场景 / 现有工具 / 真实痛点上。接不上时先停下来问，不许硬贴标签。
原文与推论视觉可分：短文章必然要靠你的推论撑分量，但哪些是原文说的、哪些是你推的，必须一眼可辨（推论进 details 或标「原文没直说，但成立」）。否则"我读了一篇文章"会悄悄变成"我听了 AI 讲课"。

红线约束的是你，不是用户。 红线防的是你偷懒跳过，不是用户的选择权。用户明确说"别考我了"时：不硬顶、也不静默放弃——降到轻量档，仍被拒就记挂账、说清代价、继续走（见 教学法.md「用户拒绝考核时」）。

开跑前（只问这些，其余别问）

材料放哪个目录（没有就 mkdir -p，全程用绝对路径）
用户自己的业务场景是什么（第④步要用；答不出走 教学法.md 的降级阶梯，不要追问第三遍）
对齐投入度（一句话，别做成问卷）："完整跑（切几讲抽完干货再定，每讲一份课件带考核）还是先把核心讲一遍（20 分钟）？"——选后者走 教学法.md 的「轻量档怎么跑」（仍要出资料+极简计划+轻量考核），讲完再问要不要转完整流程。别把想问 15 分钟的人拖进 6 讲。

五步主流程

① 抽干货    粗判材料形态 → 抓正文 → 量体量 → 就地整理成结构化笔记（之后不再回原文）
② 切讲次    按文章自带骨架切，先量素材定讲数（≤8 讲），进度表落盘
③ 学-考-讲  每讲循环：HTML 课件带讲 → 点名作业 →【硬停等用户】→ 拧紧校准 → 落盘笔记
④ 对号入座  贯穿③：先锁定"这篇文章在用户场景里的具体对象"，再逐讲落点
⑤ 收官      实操 → 测验卷 → 讲错题回退 → 蒸馏 → 全景图

③ 的硬停：课件落盘并发给用户、点名作业之后，这一轮到此为止——不许在同一条回复里继续讲下一讲，不许自问自答。这是本流程最容易塌的地方。

细节、话术、降级路径见 教学法.md（开工前整篇读）。

四个坑（都是真踩过的）

坑	对策
抽象概念讲两轮讲不通	上可交互 HTML：能点按钮、看状态变色、三态对比。工艺见 `references/README.md`
只演示成功，用户无感	故意演示失败：写错版、作弊版被防线当场抓住——比十遍解释都强
作业答了一半卡住不敢往前	挂账不阻塞：记进笔记「挂账」继续走，学完统一回收。用户完全没回复则等着，见 ③ 硬停
复述听着对就放过	永远拧紧一次（红线 3）

逆境降级（本 skill 最容易失手的地方，详见 `教学法.md`）

逆境	一句话对策
用户没给材料	先在用户身边找（他的 skill/文档/代码）→ 再去外面找候选让他挑 → 都不行才降级自述，且必须标注无出处
材料太短（<1500 字）	按骨架 1:1 切、允许合并；减配：只出基础卷、不做全景图、实操并进最后一讲
材料太长（整本书/几百页）	禁止不问就整本切。先列目录问"你想解决什么问题、只学哪几章"，砍到 5-8 讲
用户场景接不上	先写出"这篇文章在他场景里的具体对象是什么"，一句话写不出就问，不许硬贴
用户拒绝考核	降轻量档（判断题/二选一）→ 仍拒就记 ⚠️ 挂账、说清代价、继续；连续 3 讲提醒一次
新会话说"继续学习"	走恢复协议：定位 `学习计划.md` → 读进度+挂账 → 一句话回述 → 往前走

文件清单

文件	用途
`教学法.md`	操作手册：每步怎么做、拧紧话术、题型库、全部降级路径。开工必读
`templates/课件模板.html`	每讲课件骨架 + CSS 设计系统 + 组件仓库，整体复制起手
`templates/测验模板.html`	自动判分测验引擎（单选/多选/排序/动手写）。按头部注释改 4 处，逻辑一行别动
`templates/资料模板.md`	第①步的结构化笔记模板（素材源，重要性最高）
`templates/学习计划.md`	进度表（含学习目录绝对路径、下一步、为什么这么切）
`templates/笔记模板.md`	每讲笔记（用户原话 + 拧紧记录 + 挂账）
`templates/蒸馏素材清单.md`	边学边攒的素材台账
`references/README.md`	交互演示的 6 条工艺（做演示前先读这 16 行，别直接啃 HTML）
`references/物证-交互演示.html`	交互演示范例（TDD 红绿灯），照工艺不照内容

产出物清单

<学习目录>/
├── 资料-<主题>.md              ① 结构化笔记（素材源，替代原文）
├── 资料-<主题>-地图.md          ① 长材料专用（目录地图，学到哪抽哪章）
├── 学习计划.md                 ② 进度表 + 目录绝对路径 + 下一步
├── 课件-第N讲-<主题>.html      ③ 每讲课件
├── 笔记-第N讲-<主题>.md        ③ 每讲笔记（原话 + 拧紧 + 挂账）
├── 交互演示-<概念>.html         抽象概念专用（按需；可跑代码放同名目录）
├── 测验-基础卷.html            ⑤ 必出
├── 测验-进阶卷.html            ⑤ 长材料才出
├── 测验-综合实战卷.html         ⑤ 长材料才出
├── 实操-<案例>/                ⑤ 真跑过的证据（要能运行）
├── 蒸馏素材清单.md              全程边学边攒
└── 全景图-<主题>.html           ⑤ 收官总览（短材料默认不做）

启动命令

我们一起学这篇文章 <链接/路径>        # 完整五步
继续学习 / 继续                      # 走恢复协议（教学法.md）
考我一次 / 出个卷子                   # 单独出测验卷
讲错题 / 我考了 X 分（错 3、7 题）     # 按错题号定位讲次，回翻笔记重讲 + 换场景再考一题
蒸馏一下                             # 走⑤，把素材焊回用户工具

Files

SKILL.md and 10 other files (references) in learning/article-study of yunshu0909/yunshu_skillshub.

SKILL.md
agents/openai.yaml
references/README.md
references/物证-交互演示.html
templates/学习计划.md
templates/测验模板.html
templates/笔记模板.md
templates/蒸馏素材清单.md
templates/课件模板.html
templates/资料模板.md
教学法.md

Open the folder on GitHubat commit da0d31f

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Article Study 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.

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Adversarial Speczscole/adversarial-spec	556	1 repos	~8.3k	Automated safety check: Notes	MIT	8 mo ago
Ralph Tui Create Beads Rustsubsy/ralph-tui	2.5k	1 repos	~2.8k	Automated safety check: Pass	MIT	1 mo ago

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Image Assistant
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Questions about Article Study

What does Article Study do?

When should I use Article Study?

Article Study fits situations like: tasks that involve PRD writing.

How do I install Article Study in Claude Code?

Run `npx skills add yunshu0909/yunshu_skillshub --skill article-study -a claude-code`. Or copy the skill folder (learning/article-study in yunshu0909/yunshu_skillshub) into .claude/skills/article-study in your project. Claude Code loads it when a task matches its description.

How do I install Article Study in Codex?

Run `npx skills add yunshu0909/yunshu_skillshub --skill article-study -a codex`. Or copy the skill folder (learning/article-study in yunshu0909/yunshu_skillshub) into .agents/skills/article-study in your project. Codex loads it when a task matches its description.

Can I use Article Study 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 yunshu0909/yunshu_skillshub --skill article-study -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/article-study, .gemini/skills/article-study, .github/skills/article-study and .opencode/skills/article-study in your project.

What does Article Study need to run?

SKILL.md names no scripts, command-line tools or credentials: Article Study is instructions for the agent only.

Does Article Study 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 Article Study 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 Article Study use?

Article Study 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 Article Study use?

About 964 tokens (SKILL.md is roughly 3.9k 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 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Article Study?

Skills that share tags, products or a category with Article Study: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Article Study?

yunshu0909 (a GitHub user) maintains it in yunshu0909/yunshu_skillshub, which has 767 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.

Source: yunshu0909/yunshu_skillshub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Article Study

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

和用户一起学一篇文章

五条红线（违反即返工）

开跑前（只问这些，其余别问）

五步主流程

四个坑（都是真踩过的）

逆境降级（本 skill 最容易失手的地方，详见 教学法.md）

文件清单

产出物清单

启动命令

Files

Compare with similar skills

Similar skills

More from yunshu0909/yunshu_skillshub

Related

Questions about Article Study

逆境降级（本 skill 最容易失手的地方，详见 `教学法.md`）