AI编程与低代码产品项目搭建

v1.0.0

AI辅助编程与低代码快速产品项目搭建。AI生成代码 + 低代码思路 + 完整项目落地。触发指令:开启AI编程项目搭建 / 帮我用低代码做项目 / AI编程助手

0· 102·0 current·0 all-time
bySMS@smseow001

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for smseow001/ai-programming.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI编程与低代码产品项目搭建" (smseow001/ai-programming) from ClawHub.
Skill page: https://clawhub.ai/smseow001/ai-programming
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install smseow001/ai-programming

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-programming
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (AI-assisted coding + low-code project scaffolding) matches the content of SKILL.md: planning, code generation, tech choices, deployment guidance. The skill does not declare unrelated binaries, config paths, or credentials.
Instruction Scope
SKILL.md contains high-level, scoped instructions for analyzing requirements, selecting tech, producing runnable code, and giving deployment/optimization advice. It does not instruct the agent to read local files, access system config, or exfiltrate data. It is broad in capability (generating full projects) but stays within the stated purpose.
Install Mechanism
No install spec and no code files — lowest-risk category. Nothing will be written to disk by an installer as part of this skill package.
Credentials
SKILL.md mentions integrating with model APIs (e.g., OpenAI) as example stacks, but the skill itself does not request any environment variables or credentials. If the user or generated code later asks for API keys or other secrets to run deployed code, those would be external choices the user must authorize; the skill does not automatically require them.
Persistence & Privilege
always:false and no install means the skill does not request persistent or elevated presence. Model invocation is allowed (default) but that is normal for skills and not a red flag here.
Assessment
This skill appears coherent and low-risk as packaged. Before using it: (1) review any code it generates before running, especially if it performs network, file, or system operations; (2) do not paste secrets/API keys into prompts — provide them only via secure mechanisms when necessary; (3) prefer running generated code in a sandbox or isolated environment first; (4) inspect deployment instructions for steps that would expose credentials or open ports, and apply least privilege when provisioning cloud resources.

Like a lobster shell, security has layers — review code before you run it.

ai-programmingvk976h312xzpw44n11cvfq5v5y1852640automationvk976h312xzpw44n11cvfq5v5y1852640latestvk976h312xzpw44n11cvfq5v5y1852640low-codevk976h312xzpw44n11cvfq5v5y1852640pythonvk976h312xzpw44n11cvfq5v5y1852640rapid-developmentvk976h312xzpw44n11cvfq5v5y1852640webvk976h312xzpw44n11cvfq5v5y1852640
102downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

AI编程与低代码产品项目搭建

技能说明

用AI大模型辅助编程,快速搭建自己的产品项目。核心是AI编程 + 低代码开发

核心能力

  1. AI生成代码 - 根据需求直接生成可运行代码,支持 Python、网页、小程序、工具脚本
  2. 低代码搭建 - 简化开发步骤,给出可直接复制使用的代码与配置
  3. 完整项目落地 - 规划项目结构 → 生成代码 → 调试优化 → 部署说明

触发指令

  • 开启AI编程项目搭建
  • 帮我用低代码做项目
  • AI编程助手
  • 帮我写个XXX脚本/工具/网站

输出格式

① 项目整体规划
② 核心功能拆解
③ 完整可运行代码
④ 使用与部署说明
⑤ 优化建议

工作流程

需求分析 → 技术选型 → 项目结构 → 代码生成 → 调试优化 → 部署说明

支持项目类型

类型说明技术栈示例
🌐 网页应用前端+后端Web应用Python Flask/FastAPI + HTML/JS
🤖 自动化脚本数据处理、文件操作Python + pandas/openpyxl
📱 小工具命令行工具、桌面应用Python TKinter/PyQt
🔌 API服务REST API接口FastAPI + Uvicorn
📊 数据看板数据可视化Python + Plotly/ECharts
🤖 AI工具调用大模型APIPython + OpenAI/MiniMax

使用示例

你:帮我用低代码做一个股票数据查询工具
我:
① 项目规划:数据获取→处理→展示
② 技术栈:requests + pandas + Flask
③ 完整代码:直接可运行的Python脚本
④ 使用说明:运行方式、依赖安装
⑤ 优化建议:增加缓存、错误处理

Comments

Loading comments...