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Agent Skill · 研究检索

architecture-md(建筑医学博士)

architecture-md 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

architecture-md 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,332。

总安装 618周安装 25GitHub Stars 公开资料未说明下载 194核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:architecture-md(建筑医学博士)
来源仓库:https://github.com/caidanw/skills
仓库路径:skills/architecture-md
安装命令:
npx skills add https://github.com/caidanw/skills --skill architecture-md
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/caidanw/skills --skill architecture-md

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于生成高质量的 ARCHITECTURE.md 文件,为新成员提供代码库心智地图。适合解答“何处修改某功能”和“此组件职责”等核心导航问题。使用时可请求生成稳定、简洁的架构描述,遵循鸟瞰优先和短周期更新原则。需避免与代码同步频繁更新,建议每季度复核一次内容准确性。

architecture-md 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/architecture-md

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/caidanw/skills --skill architecture-md;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

architecture-md 怎么安装?

在终端执行 npx skills add https://github.com/caidanw/skills --skill architecture-md。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

architecture-md 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

architecture-md 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

architecture-md 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

architecture-md 用的人多吗?

公开数据是累计安装 618 次,近一周安装 25 次,下载 194 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

architecture-md 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
architecture-md

建筑医学博士 · 本页

618—需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

ARCHITECTURE.md Generator

Generate high-quality ARCHITECTURE.md files that give newcomers a mental map of a codebase. Based on matklad's article: the biggest contributor bottleneck is not writing code, it's figuring out *where* to change it. ARCHITECTURE.md bridges that gap.

Core Principles

  1. Short and stable -- Only describe things unlikely to change frequently. Don't synchronize with code. Revisit a couple of times a year.
  2. Bird's eye first -- Start with the problem being solved, not the solution.
  3. Codemap over prose -- Answer "where's the thing that does X?" and "what does this thing do?" for every module.
  4. Name, don't link -- Name important files, modules, types. Don't hyperlink (links go stale). Encourage symbol search.
  5. Invariants are gold -- Explicitly call out what's deliberately *absent*. Important invariants are often expressed as absence, and are impossible to divine from reading code.
  6. Mark boundaries -- API boundaries between layers constrain all possible implementations behind them. Finding a boundary by randomly reading code is hard.
  7. Cross-cutting concerns last -- After the codemap, address things that are everywhere and nowhere (error handling, testing, config).

Workflow

Step 1: Explore the Codebase

Use tree, glob, and read tools to understand the project:

  • Read README, package.json/Cargo.toml/pyproject.toml for the project's purpose
  • Run tree -L 2 -d (or similar) to see directory structure
  • Identify entry points (main files, index files, bin directories)
  • Read key files at module boundaries to understand the layers

Step 2: Identify the Architecture

Map out:

  • The problem being solved -- What does this project do? What's the input/output?
  • Coarse-grained modules -- What does each top-level directory/package do?
  • Data flow -- How does data move through the system? Input ->??? -> Output
  • API boundaries -- Which modules are public interfaces vs internal implementation?
  • Architectural invariants -- What rules are enforced by structure? What's deliberately absent?
  • Cross-cutting concerns -- Error handling, testing strategy, configuration, observability

Step 3: Write the ARCHITECTURE.md

Follow the template below. Keep the total document under ~300 lines for most projects.

Template

# Architecture

[One paragraph: what this project does at the highest level. What problem it solves.]

## Bird's Eye View

[How data flows through the system at the coarsest level.
Input -> Processing stages -> Output.
Keep this to 1-3 paragraphs.]

## Code Map

[Brief intro: "This section describes the high-level structure of the codebase.
Pay attention to **Boundary** and **Invariant** callouts."]

### `path/to/module-a/`

[What this module does in 1-3 sentences. Key types: `ImportantType`, `AnotherType`.]

**Boundary:** [If this is an API boundary, say so and what it means.]

**Invariant:** [What's deliberately absent or enforced. E.g., "This module never does I/O"
or "Nothing here depends on the HTTP layer."]

### `path/to/module-b/`

[Repeat for each significant module.]

### `path/to/module-c/`

[...]

## Cross-Cutting Concerns

### Error Handling

[How errors are handled across the codebase. Is it Result-based? Exceptions?
Do errors propagate or get caught at boundaries?]

### Testing

[Testing strategy. Where do tests live? What kinds of tests exist?
What are the important test boundaries?]

### [Other concerns as applicable]

[Configuration, observability/logging, code generation, build system, etc.
Only include sections that are genuinely cross-cutting.]

Rules

What to Include

  • Directory/module purposes (1-3 sentences each)
  • Names of important types, traits, interfaces, functions (for symbol search)
  • API boundaries between layers
  • Architectural invariants -- especially things that are deliberately *absent*
  • Data flow at the system level
  • Cross-cutting concerns that affect multiple modules

What to Omit

  • Implementation details of how individual modules work (that's inline doc)
  • Links to specific files or lines (they go stale)
  • Anything that changes with routine PRs
  • Exhaustive API documentation (that's rustdoc/typedoc/javadoc territory)
  • Setup instructions (that's README)
  • Contribution guidelines (that's CONTRIBUTING.md)

Style Rules

  • Use ### \path/to/module/`` headers with backtick-quoted paths for the codemap
  • Use Boundary: and Invariant: prefixed callouts (bold label, not blockquotes)
  • Keep module descriptions to 1-3 sentences
  • Name types in backticks: "Key types: FooBar, BazQux"
  • Write in present tense, active voice
  • Prefer concrete over abstract: "parses CLI arguments" not "handles input processing"

Quality Checklist

Before finishing, verify:

  • Can a newcomer find "the thing that does X" using only this doc?
  • Are API boundaries clearly marked?
  • Are architectural invariants (especially absences) called out?
  • Is every section stable enough to survive 6 months without update?
  • Are important types/modules named (not linked)?
  • Is there a bird's eye view before the codemap?
  • Are cross-cutting concerns addressed?
  • Does the codemap order match the data flow or dependency direction?
  • Is it under ~300 lines? (Shorter = more likely to be read and maintained)

Reference Example

See references/example.md for a complete example ARCHITECTURE.md for a hypothetical TypeScript project, demonstrating all the patterns above.

平台分布

Codex

32.09%
按下载量换算62

Claude

31.57%
按下载量换算61

Cursor

16.92%
按下载量换算33

Gemini CLI

9.69%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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