Token导航 LogoToken导航

Agent Skill · 研究检索

improve-codebase-architecture(改进代码库架构)

improve-codebase-architecture 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。

improve-codebase-architecture 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,权限为只读;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 66,030。

总安装 269周安装 11GitHub Stars 14下载 87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:improve-codebase-architecture(改进代码库架构)
来源仓库:https://github.com/bahayonghang/my-claude-code-settings
仓库路径:skills/improve-codebase-architecture
安装命令:
npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill improve-codebase-architecture
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/bahayonghang/my-claude-code-settings --skill improve-codebase-architecture

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。

improve-codebase-architecture 识别高摩擦架构区域并提出深度模块优化建议。优先小接口隐藏复杂实现,强化可维护性与扩展性。结合 deepening-guide.md 判断依赖关系与测试策略合理性。输出聚焦具体路径,避免全局重构带来的过度风险。建议配合子代理并行探索多个候选改进点。

来源仓库内路径:skills/improve-codebase-architecture

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/bahayonghang/my-claude-code-settings --skill i…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

improve-codebase-architecture 怎么安装?

在终端执行 npx skills add https://github.com/bahayonghang/my-claude-code-settings --skill improve-cod…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

improve-codebase-architecture 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。

improve-codebase-architecture 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

improve-codebase-architecture 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。

improve-codebase-architecture 用的人多吗?

公开数据是累计安装 269 次,近一周安装 11 次,下载 87 次,GitHub 14 星。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。

improve-codebase-architecture 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
improve-codebase-architecture

改进代码库架构 · 本页

26914只读未明确通过

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

Improve Codebase Architecture

Find architectural friction the way a future maintainer or coding agent experiences it. Favor deep modules: a small interface hiding substantial implementation complexity.

Read $SKILL_DIR/references/deepening-guide.md before classifying dependencies, judging test strategy, or drafting the RFC.

Workflow

  1. Decide scope. If the user gives a path, subsystem, ticket, or architectural theme, stay inside it. Otherwise explore until you can name the highest-friction areas.
  2. Explore the codebase using whatever discovery tools are available.

- If subagents are available, you may run one exploration pass and 2-4 design passes in parallel. - If subagents are unavailable, do the same work sequentially. Do not fail just because parallelism is unavailable. - Treat friction as evidence: cross-file bouncing, redundant adapters, shallow modules, hidden orchestration, and tests that protect internals instead of behavior.

  1. Surface 3-5 candidate deepening opportunities. For each candidate, report:

- Cluster - Why they're coupled - Dependency category - Test impact - Expected leverage - Migration cost / risk - Confidence

  1. If no candidate is strong enough, say so explicitly and stop. Do not invent an RFC just to satisfy the workflow.
  2. Ask the user which candidate to explore. If the user only wanted an architectural review, stop after the candidate list and recommendation.
  3. Frame the problem space for the chosen candidate before proposing an interface:

- Constraints the new interface must satisfy - Dependencies it must rely on - Non-goals - Likely failure modes - A rough illustrative code sketch that grounds the constraints without committing to a design

  1. Design 2-4 materially different interfaces.

- With subagents: give each one a distinct design goal. - Without subagents: produce the same diversity of designs yourself, one by one. - Useful design goals: - Minimize interface surface - Optimize for common caller ergonomics - Maximize extension flexibility - Isolate cross-boundary dependencies with ports and adapters

  1. For each design, include:

1. Interface signature 2. Usage example 3. Complexity hidden internally 4. Dependency strategy 5. Trade-offs 6. Failure modes 7. Migration shape

  1. Compare the designs in prose, then give a clear recommendation. If a hybrid is best, say exactly which parts should be combined.
  2. Draft the RFC as Markdown using the template in $SKILL_DIR/references/deepening-guide.md.
  3. Save the draft locally as ./architecture-rfc-<candidate-slug>.md.
  4. Only create a GitHub issue if all of these are true:
  • The user explicitly asks for an issue
  • gh is installed and authenticated
  • The draft is already complete Otherwise, return the Markdown draft and the suggested gh issue create next step without executing it.

Working heuristics

  • Prefer seams where the bugs live in orchestration, not in leaf helpers.
  • Prefer module boundaries that let tests assert observable behavior instead of call order or internal state.
  • Prefer designs that reduce navigation cost for both humans and agents.
  • Be suspicious of "extract function for testability" if the real coupling stayed in the caller.
  • Do not let current file layout dictate the future interface.

Output contract

When presenting candidate opportunities, always include:

  • Cluster
  • Why they're coupled
  • Dependency category
  • Test impact
  • Expected leverage
  • Migration cost / risk
  • Confidence

When presenting the final recommendation, always include:

  • The chosen design or hybrid
  • Why it wins
  • What should remain outside the module
  • Which existing tests become redundant
  • Which new boundary tests matter most

Failure handling

  • If dependency classification is uncertain, name the uncertainty and what evidence is missing.
  • If the codebase is too large, narrow scope before claiming confidence.
  • If the best answer is "leave this area alone for now," say that plainly.
  • Never mutate remote systems by default. Draft first, publish second.

平台分布

Codex

33.9%
按下载量换算29

Claude

31.61%
按下载量换算28

Cursor

20.48%
按下载量换算18

Gemini CLI

9.46%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

继续浏览同类 Skills