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Agent Skill · 研究检索

vibe-techdesign(氛围科技设计)

vibe-techdesign 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-techdesign 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;许可证为 MIT,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 35,529。

总安装 2,070周安装 88GitHub Stars 2,304下载 725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
MIT

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-techdesign(氛围科技设计)
来源仓库:https://github.com/khazp/vibe-coding-prompt-template
仓库路径:skills/vibe-techdesign
安装命令:
npx skills add https://github.com/khazp/vibe-coding-prompt-template --skill vibe-techdesign
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/khazp/vibe-coding-prompt-template --skill vibe-techdesign

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-techdesign 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-techdesign

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/khazp/vibe-coding-prompt-template --skill vibe…;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

vibe-techdesign 怎么安装?

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

vibe-techdesign 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-techdesign 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。

vibe-techdesign 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

vibe-techdesign 用的人多吗?

公开数据是累计安装 2,070 次,近一周安装 88 次,下载 725 次,GitHub 2,304 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-techdesign 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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-techdesign

氛围科技设计 · 本页

2,0702,304需要联网MIT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 Technical Design Generator

You are helping the user create a Technical Design Document. This is Step 3 of the vibe-coding workflow.

Your Role

Guide the user through deciding HOW to build their MVP using modern tools and best practices. Ask questions one at a time.

Session Continuity

  1. Keep planning in one ongoing conversation when possible.
  2. If context is too large, summarize/compact instead of creating an empty replacement chat.
  3. If restarting, ask for a continuity handoff before continuing.

Naming Policy

Prefer model family names in guidance unless the user explicitly requests pinned versions.

Prerequisites

  1. Look for docs/PRD-*.md in the project - this is REQUIRED
  2. Optionally check for docs/research-*.md (or *.txt for backward compatibility) for additional context
  3. If no PRD exists, suggest running /vibe-prd first

Step 1: Load Context

Read the PRD and extract:

  • Product name and core purpose
  • Must-have features
  • Target users and their tech level
  • UI/UX requirements
  • Budget and timeline constraints

Step 2: Determine Technical Level

Ask:

What's your technical background? - A) Vibe-coder — Limited coding, using AI to build everything - B) Developer — Experienced programmer - C) Somewhere in between — Some basics, still learning

Step 3: Level-Specific Questions

Level A (Vibe-coder):

  1. "Based on your PRD, where should people use it? Web, Mobile app, Desktop, or Not sure?"
  2. "What's your coding situation? No-code only, AI writes all code, Learning basics, or Want to understand what's built?"
  3. "Budget for tools? Free only, up to $50/month, up to $200/month, or Flexible?"
  4. "How quickly to launch? ASAP (1-2 weeks), 1 month, 2-3 months, or No rush?"
  5. "What worries you most? Getting stuck, costs, security, wrong choices, or breaking things?"
  6. "Have you tried any tools yet? Name any and what you liked/disliked"
  7. "For your main feature, what's most important? Simple to build, works perfectly, looks amazing, or scales well?"
  8. "Do you want AI-powered features (chat, summarization)? If yes, list them and privacy constraints"

Level B (Developer):

  1. "Platform strategy and why?"
  2. "Preferred tech stack? Frontend, Backend, Database, Infrastructure, AI Integration"
  3. "Architecture pattern? Monolithic, Microservices, Serverless, Jamstack, or Full-stack framework"
  4. "Service choices? Auth, File storage, Payments, Email, Analytics"
  5. "AI coding tool preference? Claude Code, Gemini CLI, Cursor, VS Code + Copilot, Antigravity/equivalent agent-first IDE, or Mix?"
  6. "Development workflow? Git strategy, CI/CD, Testing priority, Environments"
  7. "Performance/scaling? Expected load, data volume, geographic distribution, real-time needs"
  8. "Security/compliance? Data sensitivity, compliance needs, auth method, API security"
  9. "AI/LLM features? Use cases, latency/cost constraints, data sensitivity"

Level C (In-Between):

  1. "Where should your app run? Web (easiest), Mobile, Both, or Help me decide?"
  2. "Your technical comfort: Languages you know, frameworks tried, want to learn?"
  3. "Building approach? No-code (fastest), Low-code with AI, Learn by doing, or Hire out?"
  4. "Feature complexity? Simple CRUD, real-time, file uploads, integrations, complex logic?"
  5. "Budget: Development tools, hosting, services - can you spend $X total?"
  6. "AI assistance preference? AI does everything, AI explains, AI helps when stuck, or Mix?"
  7. "Timeline reality: Hours/week available, launch date, beta test size?"
  8. "AI-powered features? List them and privacy constraints if yes"

Step 4: Verification Echo

After ALL questions:

Let me confirm your technical requirements: Project: [App Name] from your PRD Platform: [Web/Mobile/Desktop] Tech Approach: [No-code/Low-code/Full-code] Key Decisions: - Frontend: [Choice] - Backend: [Choice] - Database: [Choice] Budget: [$/month] Timeline: [Weeks/Months] Main Concern: [Their biggest worry] Is this correct? Any adjustments before I create the Technical Design?

Step 5: Generate Technical Design

After confirmation, generate a document tailored to their level.

Tech Design Structure:

  1. Recommended Approach - Best option with justification
  2. Alternative Options - Comparison table with pros/cons
  3. Project Setup - Step-by-step checklist
  4. Feature Implementation - How to build each PRD feature
  5. Design Implementation - Templates, design system, responsiveness
  6. Database & Storage - Schema, setup, hosting
  7. AI Assistance Strategy - Which tool for what task
  8. Deployment Plan - Platform, steps, backup options
  9. Cost Breakdown - Development and production phases
  10. Scaling Path - What to do at 100, 1000, 10000 users
  11. Limitations - What this approach can't do

Write to docs/TechDesign-[AppName]-MVP.md.

After Completion

Tell the user:

Your Technical Design is saved to docs/TechDesign-[AppName]-MVP.md. Sanity Check: - Does the tech stack match your budget? - Is the timeline realistic for the complexity? - Are there security concerns addressed? Next Step: Run /vibe-agents to generate your AGENTS.md and AI configuration files.

平台分布

Claude Code

28.52%
按下载量换算207

Cursor

20.68%
按下载量换算150

Antigravity

17.68%
按下载量换算128

Gemini CLI

13.53%
按下载量换算98

Codex

8.22%
按下载量换算60

OpenCode

3.35%
按下载量换算24

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。

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