faa-wsl
将 FastapiAdmin 在 Windows WSL2 Ubuntu 环境下自动部署。包括环境检查、依赖安装(pip/pnpm/MySQL/Redis/Nginx)、前后端代码克隆与构建、Nginx SPA 路由修复(alias+try_files 循环问题)、WSL2 网络访问(宿主机浏览器访问)、SSL 证书配置。当用户要求部署 FastapiAdmin、在 WSL2 中安装 FastapiAdmin、或需要完整部署前后端服务时使用。
Best use case
faa-wsl is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
将 FastapiAdmin 在 Windows WSL2 Ubuntu 环境下自动部署。包括环境检查、依赖安装(pip/pnpm/MySQL/Redis/Nginx)、前后端代码克隆与构建、Nginx SPA 路由修复(alias+try_files 循环问题)、WSL2 网络访问(宿主机浏览器访问)、SSL 证书配置。当用户要求部署 FastapiAdmin、在 WSL2 中安装 FastapiAdmin、或需要完整部署前后端服务时使用。
Teams using faa-wsl should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/faa-wsl/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How faa-wsl Compares
| Feature / Agent | faa-wsl | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
将 FastapiAdmin 在 Windows WSL2 Ubuntu 环境下自动部署。包括环境检查、依赖安装(pip/pnpm/MySQL/Redis/Nginx)、前后端代码克隆与构建、Nginx SPA 路由修复(alias+try_files 循环问题)、WSL2 网络访问(宿主机浏览器访问)、SSL 证书配置。当用户要求部署 FastapiAdmin、在 WSL2 中安装 FastapiAdmin、或需要完整部署前后端服务时使用。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# FastapiAdmin WSL2 部署
## 环境要求
| 组件 | 版本 | 说明 |
|------|------|------|
| Python | ≥ 3.10 | WSL2 Ubuntu 默认 3.12 |
| Node.js | ≥ 20.0 | WSL2 已装 v22 |
| pnpm | ≥ 9.0 | 需单独安装 |
| MySQL | ≥ 8.0 | 需单独安装 |
| Redis | ≥ 7.0 | 需单独安装 |
| Nginx | 任意 | 需单独安装 |
## 工作目录
统一使用 `~/workdir`(即 `/home/<user>/workdir`)作为部署根目录。
---
## Step 1:安装系统依赖(pip/pnpm/MySQL/Redis/Nginx)
```bash
# 安装 pip(Ubuntu 强制模式)
curl -sS https://bootstrap.pypa.io/get-pip.py -o /tmp/get-pip.py
python3 /tmp/get-pip.py --break-system-packages
# 安装 pnpm
npm install -g pnpm
# 安装 MySQL + Redis + Nginx
sudo apt-get update
sudo apt-get install -y mysql-server redis-server nginx
# 安装 python3-venv(venv 创建必需)
sudo apt-get install -y python3.12-venv
# 启动服务
sudo service mysql start
sudo service redis-server start
```
## Step 2:配置 MySQL 数据库
```bash
sudo mysql -e "CREATE DATABASE IF NOT EXISTS fastapiadmin CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;"
sudo mysql -e "CREATE USER IF NOT EXISTS 'fastapiadmin'@'localhost' IDENTIFIED BY 'fastapiadmin123';"
sudo mysql -e "GRANT ALL PRIVILEGES ON fastapiadmin.* TO 'fastapiadmin'@'localhost'; FLUSH PRIVILEGES;"
```
## Step 3:克隆代码
```bash
mkdir -p ~/workdir && cd ~/workdir
git clone https://gitee.com/fastapiadmin/FastapiAdmin.git
git clone https://gitee.com/fastapiadmin/FastDocs.git
```
## Step 4:后端初始化
```bash
cd ~/workdir/FastapiAdmin/backend
# 创建虚拟环境
python3 -m venv venv
./venv/bin/pip install -r requirements.txt
# 配置环境变量
cp env/.env.dev.example env/.env.dev
# 编辑 env/.env.dev,修改:
# DATABASE_USER = "fastapiadmin"
# DATABASE_PASSWORD = "fastapiadmin123"
# REDIS_PASSWORD = ""(无密码则留空)
# 生成并执行迁移
./venv/bin/python main.py revision --env=dev
./venv/bin/python main.py upgrade --env=dev
```
## Step 5:前端构建
```bash
cd ~/workdir/FastapiAdmin/frontend
# 安装依赖
pnpm install
# 创建生产环境配置
cat > .env.production << 'EOF'
VITE_APP_ENV=production
VITE_APP_TITLE=FastapiAdmin
VITE_API_BASE_URL=http://<WSL2_IP>
VITE_APP_BASE_API=/api/v1
VITE_TIMEOUT=10000
VITE_APP_WS_ENDPOINT=ws://<WSL2_IP>
EOF
# 构建
pnpm run build
```
## Step 6:Nginx 配置(关键)
Nginx 配置源码位于 `~/workdir/FastapiAdmin/devops/nginx/nginx.conf`,部署时复制到 `/etc/nginx/nginx.conf`。
### 6.1 生成自签名 SSL 证书
```bash
sudo mkdir -p /etc/nginx/ssl
sudo openssl req -x509 -nodes -days 365 -newkey rsa:2048 \
-keyout /etc/nginx/ssl/server.key -out /etc/nginx/ssl/server.pem \
-subj "/C=CN/ST=Beijing/L=Beijing/O=FastapiAdmin/OU=Dev/CN=localhost"
sudo chmod 600 /etc/nginx/ssl/server.key
```
### 6.2 Nginx 配置模板
> ⚠️ **关键修复**:原配置中 `alias` + `try_files` 组合会导致**重定向循环**。必须用精确匹配 `location = /web/index.html` 作为内部 fallback,而非 named location 或路径重写。
编辑 `~/workdir/FastapiAdmin/devops/nginx/nginx.conf`,替换 `location /web` 部分:
```nginx
# HTTP server块
server {
listen 80;
server_name service.fastapiadmin.com;
location = /web {
return 301 /web/;
}
location /web/ {
alias /usr/share/nginx/html/frontend/;
index index.html;
try_files $uri $uri/ /web_fallback.html;
}
location = /web_fallback.html {
internal;
alias /usr/share/nginx/html/frontend/index.html;
}
location /api/v1 {
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_pass http://127.0.0.1:8001;
}
}
```
### 6.3 部署 Nginx 配置
```bash
sudo cp ~/workdir/FastapiAdmin/devops/nginx/nginx.conf /etc/nginx/nginx.conf
sudo rm -f /etc/nginx/sites-enabled/default
sudo nginx -t && sudo nginx
```
## Step 7:启动后端服务
```bash
cd ~/workdir/FastapiAdmin/backend
./venv/bin/python main.py run --env=dev &
```
---
## 宿主机访问
WSL2 IP 不固定,每次重启后可能变化。获取方式:
```bash
hostname -I | awk '{print $1}'
```
宿主机 Windows 浏览器访问:
- 前端:`http://<WSL2_IP>/web/`
- API 文档:`http://<WSL2_IP>/api/v1/docs`
> 💡 部署后如果 WSL2 IP 变化,只需更新 Nginx 中 `.env.production` 的 `VITE_API_BASE_URL` 并重建前端即可。
## 故障排查
详见 [references/troubleshooting.md](references/troubleshooting.md)。
## 快速命令汇总
```bash
# 一键启动
cd ~/workdir/FastapiAdmin/backend && ./venv/bin/python main.py run --env=dev
# 查看 WSL2 IP
hostname -I | awk '{print $1}'
# Nginx 配置测试与重载
sudo nginx -t && sudo nginx -s reload
# 查看 Nginx 错误日志
sudo tail /var/log/nginx/error.log
```Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述