DESIGN/设计资源·UI-KIT

mvpblocks

subhadeeproy3902/mvpblocks

MVPBlocks is an open-source component library for developers to copy, customize, and launch MVPs lightning-fast—no installations, just pure productivity.

打开仓库Open repository 官网Homepage 上升中Rising

怎么装：Install: npx ai-elements@latest

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.0%+0.0%

834 → 834 stars · 5 个快照834 → 834 stars · 5 snapshots

状态STATUS

持续活跃Active

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

NPX

$

README 里给出的安装方式。The installation method given in the README.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

05 / 限制与风险05 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

需检查Needs review

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要 API KeyNeeds an API key

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/subhadeeproy3902/mvpblocks
原始数据哈希Raw data hash: 9c8a5b7a482afb3265c2b39fbd82c710
解析时间Parsed at: 2026-10-07T23:30:20.466Z
最后一次验证Last verified: 2026-10-07T22:10:25.670Z
增长测量时间Growth measured: 2026-10-07T23:31:03.005Z
发现查询Discovery queries: focus:motion:repo:topic-framer-motion, focus:web:repo:component-library
分类来源Category source: rules
焦点Focus

静态扫描STATIC SCAN

01读取 API KeyReads an API key.agents/skills/ai-elements/SKILL.md

- We also highly recommend using the [AI Gateway](https://vercel.com/docs/ai-gateway) and adding `AI_GATEWAY_API_KEY` to your `env.local` so

02安装时执行脚本Runs a script during installpackage.json
```
postinstall: fumadocs-mdx
```

这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    }
  ],
  "apiKey": "/docs/ai-gateway) and adding `AI_GATEWAY_API_KEY` to your `env.local` so you don't have",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 6,
      "ai-tools": 0,
      "dev-tools": 1,
      "indie-web": 1,
      "skill-agent": 0,
      "productivity": 0
    },
    "primary": "design",
    "secondary": "ui-kit"
  },
  "localRuntime": null,
  "skillMdTotal": 4,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 0,
    "design": 7,
    "browser": 0,
    "devtool": 1,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "4 SKILL.md with name + description",
      "weight": 0.95
    }
  ],
  "scannedSources": [
    "readme",
    ".agents/skills/ai-elements/SKILL.md",
    ".agents/skills/ai-sdk/SKILL.md",
    ".agents/skills/next-best-practices/SKILL.md",
    ".agents/skills/next-cache-components/SKILL.md"
  ],
  "skillMdFetched": 4
}