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Agent Skill · 研究检索

vibe-coding-standard-workflow(vivi 编码标准工作流程)

vibe-coding-standard-workflow 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。

vibe-coding-standard-workflow 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 48,867。

总安装 674周安装 27GitHub Stars 39下载 218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:vibe-coding-standard-workflow(vivi 编码标准工作流程)
来源仓库:https://github.com/woodyxu/vibe-coding-standard-workflow
仓库路径:skills/vibe-coding-standard-workflow
安装命令:
npx skills add https://github.com/woodyxu/vibe-coding-standard-workflow --skill vibe-coding-standard-workflow
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/woodyxu/vibe-coding-standard-workflow --skill vibe-coding-standard-workflow

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。

用于关键词检索与信息筛选,快速定位候选结果。适合在任务场景下根据线索查找相关文档或资源。通过 Agent 执行搜索并返回结构化摘要,提升信息获取效率。安装前应确认是否会触发联网或文件操作,避免越权访问。vibe-coding-standard-workflow 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/vibe-coding-standard-workflow

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/woodyxu/vibe-coding-standard-workflow --skill…;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

vibe-coding-standard-workflow 怎么安装?

在终端执行 npx skills add https://github.com/woodyxu/vibe-coding-standard-workflow --skill vibe-codin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vibe-coding-standard-workflow 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。

vibe-coding-standard-workflow 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。

vibe-coding-standard-workflow 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。

vibe-coding-standard-workflow 用的人多吗?

公开数据是累计安装 674 次,近一周安装 27 次,下载 218 次,GitHub 39 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。

vibe-coding-standard-workflow 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
vibe-coding-standard-workflow

vivi 编码标准工作流程 · 本页

67439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

Vibe Coding Standard Workflow

Turn a rough idea into a controlled delivery loop. Use this skill to force document-first planning, explicit clarification, small testable implementation steps, and durable project memory for later handoffs.

Target Artifacts

Create and maintain these files:

  • PRD.md as the temporary idea capture file
  • memory-bank/design-document.md
  • memory-bank/tech-stack.md
  • memory-bank/implementation-plan.md
  • memory-bank/progress.md
  • memory-bank/architecture.md
  • AGENTS.md and/or CLAUDE.md, depending on the agent environment

Treat memory-bank/ as the long-lived source of truth after the bootstrap phase.

Bootstrap Workflow

1. Normalize the initial idea

Start by producing a short PRD.md that captures:

  • product name
  • target user
  • user problem
  • primary user flows
  • major features
  • key constraints or assumptions

Keep it lightweight. The purpose is to create enough structure for deeper questioning, not to finish the specification.

2. Convert the PRD into a real design document

Read PRD.md, then ask targeted clarification questions before writing design-document.md. Do not jump directly into the design document if the PRD is still ambiguous.

The resulting design document should make implementation decisions possible. Cover at least:

  • scope and non-goals
  • user journeys
  • feature behavior
  • edge cases
  • data or state model
  • acceptance criteria

If the user answers questions incrementally, keep refining the document until the design is executable.

3. Recommend the technology stack

Derive tech-stack.md from design-document.md, not from guesses. Optimize for simple and robust over trendy and broad.

For each major layer, choose the minimum viable stack:

  • application framework
  • backend/runtime
  • storage
  • auth
  • deployment
  • testing

Keep rationale short but explicit.

4. Bootstrap project memory and agent instructions

After the design and stack are stable:

  • remove the now-superseded PRD.md if the workflow or user instruction allows it
  • run the repository init flow if the environment supports it
  • ensure AGENTS.md and/or CLAUDE.md include the required memory-bank rules
  • create memory-bank/
  • move design-document.md, tech-stack.md, and implementation-plan.md into memory-bank/
  • create empty memory-bank/progress.md and memory-bank/architecture.md
  • fix paths in docs after files are moved

If only one of AGENTS.md or CLAUDE.md exists, update that file. If both exist, keep them aligned.

Append this block:

## 重要提示

- 写任何代码前必须完整阅读 memory-bank/@architecture.md
- 写任何代码前必须完整阅读 memory-bank/@design-document.md
- 每完成一个重大功能或里程碑后,必须更新 memory-bank/@architecture.md

5. Produce the implementation plan

Generate implementation-plan.md from design-document.md and tech-stack.md.

Every step in the plan must be:

  • small
  • concrete
  • ordered
  • code-free
  • independently verifiable

Each step must include its own validation instruction or test expectation. Do not allow vague steps like "build the backend" or "finish the frontend."

6. Refine the plan until it is executable

Read the full memory-bank/ and ask whatever questions are still necessary to make the plan unambiguous. Continue until the implementation plan is clear enough that another agent could execute it without re-discovering product intent.

Update the documents after every clarification round.

Execution Loop

7. Execute exactly one plan step at a time

Before writing code, read:

  • memory-bank/architecture.md
  • memory-bank/design-document.md
  • memory-bank/implementation-plan.md
  • memory-bank/progress.md

Then execute only the current plan step.

Assume the user is the test gate unless they explicitly delegate test execution. Do not start the next step until the current one is verified.

After the user confirms the step:

  • append a concise record to memory-bank/progress.md
  • update memory-bank/architecture.md with new or changed files and why they exist

8. Repeat with a fresh context load

For every later step, reload the memory-bank/ files and the latest progress.md before continuing. If context quality has degraded, explicitly clear and rebuild context instead of relying on memory.

Non-Negotiable Rules

  • Ask clarification questions when requirements are underspecified.
  • Keep implementation-plan.md free of code.
  • Do not begin step N+1 before step N is validated.
  • Keep progress.md as the execution log, not as a design document.
  • Keep architecture.md as a current map of important files and responsibilities.
  • Prefer checkpoint commits after bootstrap or major milestones when git is available and the user wants a restore point.
  • Preserve the file names in this workflow unless the user explicitly wants a different convention.

Agent-Specific Notes

平台分布

Codex

34.91%
按下载量换算76

Claude

28.07%
按下载量换算61

Cursor

19.08%
按下载量换算42

Gemini CLI

10.16%
按下载量换算22

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。

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