Markdown Article Formatter
JimLiu/baoyu-skills
Reformats plain text or Markdown articles with frontmatter, a title, a summary, headings, bold, lists and code blocks, and saves a separate formatted copy.
分析通用复杂问题，识别所涉及的领域范畴，召唤对应领域的专家角色（可多位）分别搜证与深度解析，最后将所有专家视角无缝合成为一篇面向小白、第一人称、图文并茂的 Markdown 文章，输出到项目 markdown/ 目录。触发条件：用户提出任何需要深度分析的问题，尤其是跨学科、跨领域的复杂问题。提到"帮我分析"、"深度解析"、"多角度分析"、"专家视角"、"帮我搞清楚XX"、"为什么XX"、"XX是…
Install Multi Expert Analyzer
$ npx skills add digoal/blog --skill multi-expert-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digoal/blog multi-expert-analyzer --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/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .claude/skills/multi-expert-analyzer && 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 "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .claude/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzerType 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 digoal/blog --skill multi-expert-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digoal/blog multi-expert-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .agents/skills/multi-expert-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .agents/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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 digoal/blog --skill multi-expert-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digoal/blog multi-expert-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .cursor/skills/multi-expert-analyzer && 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 "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .cursor/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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/digoal/blog.git --path skills/skills_for_claude_web/multi-expert-analyzer--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 digoal/blog --skill multi-expert-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digoal/blog multi-expert-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .gemini/skills/multi-expert-analyzer && 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 "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .gemini/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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 digoal/blog multi-expert-analyzerInstalls 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 digoal/blog --skill multi-expert-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .github/skills/multi-expert-analyzer && 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 "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .github/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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 digoal/blog --skill multi-expert-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digoal/blog multi-expert-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skills_for_claude_web/multi-expert-analyzer .opencode/skills/multi-expert-analyzer && 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 "multi-expert-analyzer" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/multi-expert-analyzer into .opencode/skills/multi-expert-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-expert-analyzer", 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
multi-expert-analyzer- GitHub stars
- 8.6k
- Token cost
- ~850 tokens
- SKILL.md length
- 156 words
- Files
- 1
- Skills in repo
- 98
- Repo updated
- First seen
- Licence
- GPL-2.0
At a glance
分析通用复杂问题，识别所涉及的领域范畴，召唤对应领域的专家角色（可多位）分别搜证与深度解析，最后将所有专家视角无缝合成为一篇面向小白、第一人称、图文并茂的 Markdown 文章，输出到项目 markdown/ 目录。触发条件：用户提出任何需要深度分析的问题，尤其是跨学科、跨领域的复杂问题。提到"帮我分析"、"深度解析"、"多角度分析"、"专家视角"、"帮我搞清楚XX"、"为什么XX"、"XX是…
- Works in 4 steps: ：领域识别与专家分配 → ：每位专家的分析框架 → ：合成文章规范 → …
- Tasks that involve Markdown
- SKILL.md covers 工作流总览, Step 1：领域识别与专家分配, Step 2：每位专家的分析框架 and Step 3：合成文章规范, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Multi Expert Analyzer is an agent skill from digoal/blog. 分析通用复杂问题，识别所涉及的领域范畴，召唤对应领域的专家角色（可多位）分别搜证与深度解析，最后将所有专家视角无缝合成为一篇面向小白、第一人称、图文并茂的 Markdown 文章，输出到项目 markdown/ 目录。触发条件：用户提出任何需要深度分析的问题，尤其是跨学科、跨领域的复杂问题。提到"帮我分析"、"深度解析"、"多角度分析"、"专家视角"、"帮我搞清楚XX"、"为什么XX"、"XX是怎么回事"、"用第一性原理分析"、"从多个维度看"等。即使用户只是提出一个开放性问题如"为什么XX会发生"或"如何看待XX现象"，也应使用本 skill，尤其当问题涉及多个专业领域时。
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Markdown. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.
When your agent uses it
- Tasks that involve Markdown
Example prompts
- “帮我搞清楚XX”
- “XX是怎么回事”
- “用第一性原理分析”
- “/multi-expert-analyzer”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 69fb793. 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 (its code samples are mermaid and markdown).
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
Multi Expert Analyzer loads about 850 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 156 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 digoal/blog at commit 69fb793, republished under its GPL-2.0 licence (© digoal). 156 words, ~850 tokens.
Download SKILL.mdSave it as
.claude/skills/multi-expert-analyzer/SKILL.md (or your agent's skills folder).- name
- multi-expert-analyzer
- description
- 分析通用复杂问题，识别所涉及的领域范畴，召唤对应领域的专家角色（可多位）分别搜证与深度解析，最后将所有专家视角无缝合成为一篇面向小白、第一人称、图文并茂的 Markdown 文章，输出到项目 markdown/ 目录。触发条件：用户提出任何需要深度分析的问题，尤其是跨学科、跨领域的复杂问题。提到"帮我分析"、"深度解析"、"多角度分析"、"专家视角"、"帮我搞清楚XX"、"为什么XX"、"XX是怎么回事"、"用第一性原理分析"、"从多个维度看"等。即使用户只是提出一个开放性问题如"为什么XX会发生"或"如何看待XX现象"，也应使用本 skill，尤其当问题涉及多个专业领域时。
Multi-Expert Analyzer
一个将复杂问题拆解为多专家协作分析、最终合成通俗深度文章的 Skill。
工作流总览
问题输入
↓
Step 1: 领域识别 & 专家分配
↓
Step 2: 每位专家独立深度分析
↓
Step 3: 汇总合成 → 第一人称通俗文章
↓
输出 Markdown 文件到 markdown/ 目录Step 1：领域识别与专家分配
拿到问题后，先停下来思考，不要急于作答：
- 识别核心领域：这道题属于哪些一级学科？（经济学、物理学、心理学、社会学、工程学、医学、法学、历史学、哲学……）
- 识别交叉领域：是否有边界地带需要跨学科视角？
- 分配专家角色：
- 每个主要领域指定一位专家，给出具体的专家身份（如"行为经济学家"而非笼统的"经济学家"）
- 专家数量：1～4位为佳，避免冗余
- 在文章内部用"站在 xxx 的角度"等措辞自然引入各专家视角，不要在章节名或正文中暴露"多专家合成"的元信息
示例专家分配：
| 问题类型 | 可能的专家角色 |
|---|---|
| 为什么年轻人不愿生育 | 行为经济学家、人口社会学家、发展心理学家 |
| 量子计算机为何难以商用 | 量子物理学家、半导体工程师、信息论专家 |
| 某政策为何失败 | 公共政策学者、博弈论经济学家、历史学家 |
| 如何评估一家公司 | 财务分析师、行业分析师、战略管理学者 |
Step 2：每位专家的分析框架
每位专家必须按以下框架作答（内部思考过程，不直接呈现给读者）：
2.1 复述并分析问题
- 从本专业视角重新定义问题
- 指出问题的核心变量与隐含假设
- 识别问题的复杂性来源
2.2 第一性原理推导
- 从该领域最基本的公理/规律出发
- 明确前置条件与成立假设（写入正文，不要列表格，要文笔流畅）
- 逐步推导至结论
2.3 权威数据与案例支撑
- 引用权威研究、统计数据、历史案例
- 必须标注来源（机构/研究者/年份）
- 优先选择反直觉或颠覆性的证据，增加阅读价值
2.4 图表制作（必须包含）
选择最适合的图表类型：
Mermaid（适合流程、关系、时序）：
graph LR
A[原因] --> B[机制] --> C[结果]SVG（适合精美示意图、数据可视化）：
- 输出为独立
.svg文件，存储到markdown/目录 - 在 Markdown 中用
引用 - SVG 宽度建议 800px，使用清晰的字体和配色
ASCII Text（适合简单结构图、矩阵）：
┌─────────┐ ┌─────────┐
│ 输入 │───▶│ 输出 │
└─────────┘ └─────────┘每篇文章至少包含 2 个图表，图表须有标题和简短说明。
2.5 适用边界
- 这个结论在什么条件下成立？
- 什么情况下会失效或得出相反结论？
- 不适用的典型场景举例
2.6 可证伪性设计
- 如何证明：观测哪些指标/数据可以验证结论？
- 如何证伪：出现什么现象说明结论错误？
- 观测周期：多长时间/多大样本可以得出判断？
Step 3：合成文章规范
3.1 文章结构
标题（吸引人的问题式或悬念式标题）
├── 引言（钩子 + 问题背景，200字内）
├── [核心内容章节 1～N]（融合各专家视角，自然过渡）
│ ├── 图表穿插其中
│ └── 数据/案例支撑
├── 边界与例外（何时结论不成立）
├── 如何验证这个结论（证明与证伪方法）
└── 结语（升华或留白）3.2 写作要求
语气与人称：
- 全文第一人称（"我认为"、"在我看来"、"我们可以看到"）
- 专家视角用"站在 xxx 的角度看"、"从 xxx 的视角来分析"、"xxx 领域的研究告诉我们"等措辞自然引入
- 绝对不要出现"专家A认为"、"综合以上分析"、"综合各方观点"等合成痕迹
行文风格：
- 面向小白：假设读者零专业背景
- 逻辑清晰：每个论点都有铺垫和落地
- 生动有趣：类比、故事、反直觉的数据
- 一气呵成：段落间有过渡句，不要割裂感
- 前置条件和假设融入正文，不要列表格
严禁：
- 章节名出现"第X专家"、"从X角度"、"综合分析"
- 正文出现"以上是各专家的观点"类措辞
- 把前提条件列成表格（要写进流畅的正文里）
3.3 长度参考
- 引言：150～300字
- 每个核心章节：500～1000字 + 至少1个图表
- 边界与验证：300～500字
- 结语：100～200字
- 总长建议：2000～5000字（视问题复杂度调整）
Step 4：文件输出规范
目录结构
markdown/
├── [问题关键词]-analysis.md ← 主文章
└── [图表名].svg ← SVG 图表文件（如有）文件命名
- 主文章：用问题的核心关键词命名，英文小写加连字符，如
why-youth-dont-have-babies.md - SVG 文件：
[topic]-[chart-type].svg，如fertility-mechanism.svg
Markdown 文件头
# [吸引人的标题]
> [一句话摘要，概括核心结论]
*分析领域：经济学 · 社会学 · 心理学*
*阅读时长：约 X 分钟*
---质量自检清单
在输出前，对照以下清单检查：
- 是否识别了所有相关领域并分配了专家？
- 每个核心论点是否有数据/案例支撑？
- 是否包含至少 2 个图表（Mermaid/SVG/ASCII）？
- SVG 是否单独输出为文件并在 Markdown 中正确引用？
- 第一性原理的前置条件是否融入正文（而非列表）？
- 文章是否有清晰的适用边界说明？
- 是否有具体可操作的证明/证伪方法？
- 全文是否第一人称、无合成痕迹？
- 语言是否通俗易懂、小白可读？
- 文件是否已存储到
markdown/目录？
触发示例
以下都应触发本 Skill：
- "为什么中国楼市会出现这种局面？"
- "帮我深度分析一下 AI 替代人类工作这个问题"
- "第一性原理解释为什么减肥这么难"
- "多角度分析一下俄乌战争的走向"
- "为什么有些公司越来越大却越来越慢？"
- "用专家视角告诉我黑洞是什么"
- "帮我搞清楚通货膨胀到底是怎么回事"
© digoal, GPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/skills_for_claude_web/multi-expert-analyzer of digoal/blog.
Open the folder on GitHubat commit 69fb793
Compare with similar skills
Multi Expert Analyzer 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 |
|---|---|---|---|---|---|---|
| Multi Expert Analyzer this skilldigoal/blog | 8.6k | — | ~850 | Automated safety check: Pass | GPL-2.0 | |
| Markdown Article FormatterJimLiu/baoyu-skills | 26k | 7 repos | ~3.5k | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Obsidian MarkdownAtmosphere/atmosphere | 3.8k | 20 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Gzh Designisjiamu/gzh-design-skill | 3.9k | 1 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| Crosspostingwasp-lang/wasp | 19k | — | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Multi Expert Analyzer
What does Multi Expert Analyzer do?
分析通用复杂问题，识别所涉及的领域范畴，召唤对应领域的专家角色（可多位）分别搜证与深度解析，最后将所有专家视角无缝合成为一篇面向小白、第一人称、图文并茂的 Markdown 文章，输出到项目 markdown/ 目录。触发条件：用户提出任何需要深度分析的问题，尤其是跨学科、跨领域的复杂问题。提到"帮我分析"、"深度解析"、"多角度分析"、"专家视角"、"帮我搞清楚XX"、"为什么XX"、"XX是…. Multi Expert Analyzer is an agent skill from digoal/blog.
When should I use Multi Expert Analyzer?
Multi Expert Analyzer fits situations like: tasks that involve Markdown.
How do I install Multi Expert Analyzer in Claude Code?
Run `npx skills add digoal/blog --skill multi-expert-analyzer -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/multi-expert-analyzer in digoal/blog) into .claude/skills/multi-expert-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Multi Expert Analyzer in Codex?
Run `npx skills add digoal/blog --skill multi-expert-analyzer -a codex`. Or copy the skill folder (skills/skills_for_claude_web/multi-expert-analyzer in digoal/blog) into .agents/skills/multi-expert-analyzer in your project. Codex loads it when a task matches its description.
Can I use Multi Expert Analyzer 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 digoal/blog --skill multi-expert-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-expert-analyzer, .gemini/skills/multi-expert-analyzer, .github/skills/multi-expert-analyzer and .opencode/skills/multi-expert-analyzer in your project.
What does Multi Expert Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Multi Expert Analyzer is instructions for the agent only.
Does Multi Expert Analyzer 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 Multi Expert Analyzer 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 Multi Expert Analyzer use?
Multi Expert Analyzer is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Multi Expert Analyzer use?
About 850 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Multi Expert Analyzer?
Skills that share tags, products or a category with Multi Expert Analyzer: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Gzh Design (isjiamu/gzh-design-skill, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi Expert Analyzer?
digoal (a GitHub user) maintains it in digoal/blog, which has 8,587 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on September 28, 2026.
Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.