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vibe-coding-standard-workflowvivi 编码标准工作流程

Agent Skill

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。

总安装

674

周安装

27

GitHub Stars

39

下载量

218
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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