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Agent Skill · 研究检索

glmv-prd-to-app(glmv prd 到应用程序)

glmv-prd-to-app 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。

glmv-prd-to-app 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,063。

总安装 441周安装 18GitHub Stars 360下载 143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:glmv-prd-to-app(glmv prd 到应用程序)
来源仓库:https://github.com/zai-org/glm-skills
仓库路径:skills/glmv-prd-to-app
安装命令:
npx skills add https://github.com/zai-org/glm-skills --skill glmv-prd-to-app
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/zai-org/glm-skills --skill glmv-prd-to-app

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。

用于查找、检索和筛选相关信息。glmv-prd-to-app 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据业务需求快速定位开发相关线索。通过 GitHub 安装,兼容 Codex、Claude 等宿主环境。使用前应确认是否会触发外部调用或文件操作。具体用法请参考项目原始文档说明。

来源仓库内路径:skills/glmv-prd-to-app

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/zai-org/glm-skills --skill glmv-prd-to-app;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

    它需要操作浏览器,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

glmv-prd-to-app 怎么安装?

在终端执行 npx skills add https://github.com/zai-org/glm-skills --skill glmv-prd-to-app。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

glmv-prd-to-app 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。

glmv-prd-to-app 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

glmv-prd-to-app 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。

glmv-prd-to-app 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 143 次,GitHub 360 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。

glmv-prd-to-app 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
glmv-prd-to-app

glmv prd 到应用程序 · 本页

441360操作浏览器未明确有提醒

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

GLM-V PRD-to-App: Full-Stack Application Builder

Language: Respond in the same language the user uses. Code comments should match.

Build a complete, deployed web application from PRD + prototypes + resources. The result must be fully reproducible via a single bash /workspace/start.sh.


Phase 0: Material Discovery & Analysis

Before anything else, understand what you're working with.

0a. Locate all inputs

/workspace/prd.md              ← Product requirement document
/workspace/prototypes/*.jpg    ← UI prototype images (the visual truth)
/workspace/resources/**/*      ← Images, videos, icons, and other assets

If the materials are in a different location, adapt accordingly. Read the PRD fully.

0b. Deep prototype analysis

For every prototype image:

  1. Read each image using the Read tool — you are multimodal, examine them directly.
  2. For each image, document:

- Page identity: which page/view this represents - Layout structure: header, sidebar, main content, footer, modals - Component inventory: every button, form, card, table, list, nav element - Content inventory: all visible text, numbers, labels, placeholder content - Color extraction: primary, secondary, accent, background, text colors (hex values) - Typography: font sizes, weights, hierarchy observed - Interactive states: hover effects, active tabs, selected items, toggles - Data patterns: what data populates lists/tables/cards — this drives seed data

  1. Build a page map showing navigation flow between prototype pages.

0c. Resource inventory

List all files in /workspace/resources/ and map each to where it appears in the prototypes. Every resource file must be used in the final application where relevant.


Phase 1: System Design Document

Produce a comprehensive design document at /workspace/docs/design.md.

1a. Data Model

For each entity, specify:

  • Table/collection name
  • All fields with types, constraints, defaults
  • Relationships (foreign keys, many-to-many)
  • Indexes needed for query patterns
  • Content mapping: which prototype elements map to which fields

Example:

products table:
  id          SERIAL PRIMARY KEY
  name        VARCHAR(200) NOT NULL    ← from product card title
  price       DECIMAL(10,2) NOT NULL   ← from product card price label
  image_url   TEXT NOT NULL             ← from product card image
  category_id INTEGER REFERENCES categories(id) ← from category filter
  ...

1b. API Design

For every page interaction, define an API endpoint:

  • Method + path
  • Request params/body schema
  • Response schema with example
  • Which prototype interaction triggers this API
  • Error responses

1c. Frontend Architecture

  • Component hierarchy (tree structure)
  • Route definitions mapping to prototype pages
  • State management approach
  • How each prototype page maps to components

1d. Technology Stack

Choose based on PRD complexity. Recommended defaults:

LayerChoiceWhen to use
FrontendReact + TypeScript + ViteDefault for SPAs
FrontendNext.jsIf SSR/SEO needed
StylingTailwind CSSDefault
BackendNode.js + ExpressSimple APIs
BackendPython + FastAPIIf PRD mentions Python
DatabaseSQLiteSimple apps, <10 tables
DatabasePostgreSQLComplex apps, relationships
ORMPrisma (Node) / SQLAlchemy (Python)Match backend

Document the choice and reasoning.

1e. Directory Structure

/workspace/
├── frontend/          ← or client/
│   ├── src/
│   │   ├── components/
│   │   ├── pages/
│   │   ├── hooks/
│   │   ├── services/   ← API client
│   │   ├── types/
│   │   └── assets/     ← copied from /workspace/resources
│   └── ...
├── backend/           ← or server/
│   ├── src/
│   │   ├── routes/
│   │   ├── models/
│   │   ├── controllers/
│   │   ├── middleware/
│   │   └── seed/
│   └── ...
├── docs/
│   ├── design.md
│   └── README.md
├── start.sh
└── prd.md

Phase 2: Seed Data Generation

Seed data is critical — it makes the app look real from the first launch.

Rules

  1. Extract from prototypes: Every piece of visible text, image, number in the prototype images must appear in seed data. Read each prototype image again and transcribe content.
  2. Complete coverage:

- Every list/table must have the exact number of items shown in prototypes - Every card must have the content matching the prototype - Every dropdown must have options matching the prototype - Navigation items must match prototype navigation - Statistics/counters must match prototype numbers

  1. Use resource files: Map resource files (images, videos, icons) from /workspace/resources/ to seed data entries. Use relative paths or copy to public/static dir.
  2. No placeholders: No "Lorem ipsum", no "Test Item 1", no placeholder.com images.
  3. Support all states: Include data that exercises empty states, loaded states, error scenarios as specified in the PRD.

Output

Save seed data as:

  • SQL seed files, or
  • JSON fixtures, or
  • ORM seed scripts

Place in /workspace/backend/src/seed/ (or equivalent).


Phase 3: Backend Implementation

3a. Database schema

  • Create migration files for all tables
  • Include proper constraints, indexes, foreign keys
  • Run migrations to verify they work

3b. API endpoints

For each endpoint from the design doc:

  1. Implement route handler
  2. Add input validation (validate types, required fields, ranges)
  3. Add error handling with proper HTTP status codes
  4. Test with curl or equivalent to verify response format

3c. Seed data loading

  • Implement a seed script that:

- Clears existing data (for idempotent re-seeding) - Inserts all seed data in correct dependency order - Copies resource files to the correct static serving location

  • Verify seed data loads without errors

3d. Static file serving

  • Configure the backend to serve resource files (images, videos, etc.)
  • Ensure frontend can access them via proper URLs

Phase 4: Frontend Implementation

This is where visual fidelity matters most. The prototypes are the definitive reference.

4a. Global styles and tokens

Before building components, establish:

  • Color variables matching prototype colors
  • Typography scale matching prototype fonts
  • Spacing/sizing system matching prototype spacing
  • Common component styles (buttons, cards, inputs, etc.)

4b. Page-by-page implementation

For each prototype image, in order:

  1. Re-read the prototype image — keep it fresh in your context
  2. Build the page component matching the layout exactly:

- Match spacing and proportions - Match colors and typography - Match visual hierarchy - Match content placement

  1. Wire up API calls to the backend
  2. Implement all interactions visible or implied:

- Navigation between pages - Form submissions - Search and filter - Sorting - Modals and dialogs - Loading states - Error states - Hover effects - Active/selected states

4c. Resource integration

  • Copy all resources from /workspace/resources/ to frontend assets
  • Reference them correctly in components
  • Ensure images render at proper sizes matching prototypes

4d. Responsive considerations

  • Match the viewport width shown in prototypes
  • If prototypes show mobile views, implement responsive breakpoints

Phase 5: Visual Verification Loop

This phase is what separates a good implementation from a great one. Repeat this loop for every page.

5a. Render the page to a screenshot

Use Playwright to capture the running application:

python ${SKILL_DIR}/scripts/render_page.py \
  --url "http://localhost:3000/page-path" \
  --output "/workspace/docs/screenshots/page_name.png" \
  --width 1280

5b. Visual comparison

Read both images (prototype and screenshot) side by side:

  1. Read the prototype image from /workspace/prototypes/
  2. Read the rendered screenshot
  3. Compare systematically:

- Layout: Are sections in the right positions? - Colors: Do colors match? - Typography: Are font sizes/weights correct? - Content: Is all prototype content present? - Spacing: Are margins and paddings close? - Images: Are all images rendering? - Components: Are all UI components present and correct?

5c. Fix discrepancies

For each difference found:

  1. Identify the specific CSS/component change needed
  2. Apply the fix
  3. Re-render and re-compare

5d. Repeat until satisfied

Max 3 iterations per page. Focus on the most impactful differences first.


Phase 6: Integration Testing

6a. API health check

Run the API health checker to verify all endpoints:

python ${SKILL_DIR}/scripts/check_api.py \
  --base-url "http://localhost:3000/api" \
  --endpoints-file "/workspace/docs/endpoints.json"

Or manually test each endpoint with curl:

curl -s http://localhost:3000/api/products | head -c 200

6b. End-to-end flow verification

Walk through every user flow defined in the PRD:

  1. Open the app at http://localhost:3000
  2. Navigate to each page
  3. Test each interactive feature
  4. Verify data loads from the database
  5. Verify forms submit correctly
  6. Verify search/filter/sort work

6c. Fix any issues found

Address integration issues: CORS, API URL mismatches, data format mismatches, etc.


Phase 7: Deployment Script

Generate /workspace/start.sh — the single command that makes everything work from scratch.

Requirements

The script must:

  1. Be fully self-contained — no prior setup assumed
  2. Work in a fresh environment
  3. Install all system dependencies (Node.js, Python, DB, etc.)
  4. Clean any previous state
  5. Set up the database from scratch
  6. Run all migrations
  7. Load all seed data
  8. Build the frontend (if needed)
  9. Start both backend and frontend
  10. Make the app available at http://localhost:3000

Template

#!/bin/bash
set -e

echo "=== PRD-to-App: Starting deployment ==="

# 1. System dependencies
echo "[1/7] Checking system dependencies..."
# Install Node.js, npm, etc. if missing
# Install database if needed

# 2. Backend setup
echo "[2/7] Setting up backend..."
cd /workspace/backend
npm install  # or pip install -r requirements.txt

# 3. Database initialization
echo "[3/7] Initializing database..."
# Drop existing DB / reset
# Run migrations
# Load seed data

# 4. Frontend setup
echo "[4/7] Setting up frontend..."
cd /workspace/frontend
npm install

# 5. Copy resources
echo "[5/7] Copying resource files..."
# cp -r /workspace/resources/* /workspace/frontend/public/assets/

# 6. Start backend
echo "[6/7] Starting backend server..."
cd /workspace/backend
npm run dev &   # or equivalent
BACKEND_PID=$!

# 7. Start frontend
echo "[7/7] Starting frontend..."
cd /workspace/frontend
PORT=3000 npm run dev &
FRONTEND_PID=$!

echo ""
echo "=== Application is running at http://localhost:3000 ==="
echo "Backend PID: $BACKEND_PID"
echo "Frontend PID: $FRONTEND_PID"
echo "To stop: kill $BACKEND_PID $FRONTEND_PID"

wait

Verification

After generating start.sh:

  1. chmod +x /workspace/start.sh
  2. Run it: bash /workspace/start.sh
  3. Wait for startup
  4. Verify http://localhost:3000 responds
  5. Spot-check a few API endpoints
  6. Fix any startup issues

Phase 8: Documentation

8a. Software Design Document (/workspace/docs/design.md)

Already created in Phase 1 — update with any changes made during implementation:

  • Final system architecture
  • Final data model (with any fields added during dev)
  • Technology stack
  • Deployment architecture
  • API reference

8b. README (/workspace/README.md)

# [Project Name]

## Overview
[From PRD product overview]

## Technology Stack
- Frontend: ...
- Backend: ...
- Database: ...

## Quick Start
\`\`\`bash
bash start.sh
\`\`\`
Then visit http://localhost:3000

## Project Structure
[Directory tree]

## Database
[Schema overview, how to re-seed]

## API Reference
[Key endpoints]

Deliverables Checklist

Before declaring done, verify every item:

  • All PRD features implemented — no features skipped
  • All prototype pages built — no pages merged or omitted
  • Visual match with prototypes — verified via screenshot comparison
  • All resource files used where they appear in prototypes
  • Seed data matches prototype content exactly
  • All API endpoints working and returning correct data
  • All interactive elements functional (forms, search, filters, modals, navigation)
  • bash /workspace/start.sh works from a clean state
  • App accessible at http://localhost:3000
  • Design document complete
  • README with deployment instructions

Critical Principles

  1. Prototypes are truth — when PRD text and prototype images conflict, the prototype wins for visual/layout decisions.
  2. No shortcuts on data — every piece of content visible in prototypes must come from the database via APIs. No hardcoded data in frontend components.
  3. Complete implementation — every page, every feature, every interaction. Don't skip "minor" features. Don't merge separate pages into one.
  4. Resources must be used — if the prototype shows an image and a matching file exists in /workspace/resources/, use that file. Don't substitute with placeholder URLs.
  5. Reproducibility — start.sh must work from absolute zero. If it needs Node 18+, it installs Node 18+. If it needs PostgreSQL, it sets up PostgreSQL.
  6. Verify, don't assume — use the visual verification loop (Phase 5) to actually compare your output against prototypes. Use API checks to verify endpoints. Run start.sh to verify deployment.

平台分布

Claude

33.95%
按下载量换算49

Codex

33.28%
按下载量换算48

Cursor

20.5%
按下载量换算29

Gemini CLI

9.51%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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