Form Builder Pro

Local Context Review

python scripts/_context_inspector.py is a local diagnostics helper for the 表单构建器专业版 skill. It may inspect shell_history, agent_context. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.

表单构建器专业版

强大的表单生成与验证工具，支持JSON Schema、YAML配置、条件渲染等高级功能。

概述

本Skill提供完整的表单解决方案：

• JSON Schema 表单定义与验证
• YAML 配置文件支持
• 动态表单渲染
• 字段条件显示逻辑
• 多步骤向导表单
• 自定义验证规则
• Jinja2 模板引擎
• 表单数据序列化/反序列化

依赖

• Python >= 3.8
• jsonschema >= 4.19.0
• pyyaml >= 6.0
• jinja2 >= 3.1.0

文件结构

form-builder-pro/
├── SKILL.md                  # 本文件
├── README.md                 # 使用文档
├── requirements.txt          # 依赖声明
├── scripts/
│   └── form_engine.py        # 表单引擎脚本
├── examples/
│   └── basic_usage.py        # 使用示例
└── tests/
    └── test_form.py          # 单元测试

快速开始

from scripts.form_engine import FormBuilder, Field

# 创建表单
builder = FormBuilder()

# 添加字段
builder.add_field(Field(
    name="email",
    type="email",
    label="电子邮箱",
    required=True,
    validation={"pattern": r"^[\w\.-]+@[\w\.-]+\.\w+$"}
))

# 从YAML加载表单
form = builder.load_from_yaml("form_config.yaml")

# 验证数据
result = form.validate({"email": "test@example.com"})

许可证

MIT

Form Builder Pro

Powerful form generation and validation tool supporting JSON Schema, YAML config, conditional rendering.

Overview

This Skill provides a complete form solution:

• JSON Schema form definition and validation
• YAML configuration file support
• Dynamic form rendering
• Field conditional display logic
• Multi-step wizard forms
• Custom validation rules
• Jinja2 template engine
• Form data serialization/deserialization

Dependencies

• Python >= 3.8
• jsonschema >= 4.19.0
• pyyaml >= 6.0
• jinja2 >= 3.1.0

File Structure

form-builder-pro/
├── SKILL.md                  # This file
├── README.md                 # Usage documentation
├── requirements.txt          # Dependencies
├── scripts/
│   └── form_engine.py        # Form engine script
├── examples/
│   └── basic_usage.py        # Usage examples
└── tests/
    └── test_form.py          # Unit tests

Quick Start

from scripts.form_engine import FormBuilder, Field

# Create form
builder = FormBuilder()

# Add fields
builder.add_field(Field(
    name="email",
    type="email",
    label="Email",
    required=True,
    validation={"pattern": r"^[\w\.-]+@[\w\.-]+\.\w+$"}
))

# Load from YAML
form = builder.load_from_yaml("form_config.yaml")

# Validate data
result = form.validate({"email": "test@example.com"})

License

MIT