菜单
表单构建器专业版 - 支持JSON Schema验证、动态渲染、条件逻辑的表单引擎 | Form Builder Pro - JSON Schema validation, dynamic rendering, conditional logic form engine
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/knownasnaffy/prompthound --skill form-builder-pro命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Install and operate local NVIDIA Parakeet ASR for OpenClaw with an OpenAI-compatible transcription API on Ubuntu/Linux and macOS (Intel/Apple Silicon). Use when the user wants private/local speech-to-text, voice transcription setup, ASR troubleshooting, or OpenClaw voice stack configuration with Parakeet (and optional Whisper fallback).
Collect, refresh, normalize, and analyze the user's own Douban history for taste analysis and recommendation reasoning. Use when the task involves the user's own Douban shelves, ratings, tags, comments, reviews, or recent activity, especially when you need to decide whether local cache is fresh enough, re-crawl logged-in data with cookies, store refreshed results locally, and then analyze them by category.
LoRA fine-tuning pipeline for Stable Diffusion on Apple Silicon — dataset prep, training, evaluation with LLM-as-judge scoring. Use when fine-tuning image generation models for consistent style, custom characters, or domain-specific visuals. Requires Python with torch and diffusers.
| name | form-builder-pro |
| description | 表单构建器专业版 - 支持JSON Schema验证、动态渲染、条件逻辑的表单引擎 | Form Builder Pro - JSON Schema validation, dynamic rendering, conditional logic form engine |
| homepage | https://github.com/kaiyuelv/form-builder-pro |
| category | form |
| tags | ["form","jsonschema","validation","builder","dynamic","yaml","template"] |
| version | 1.0.0 |
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。
本Skill提供完整的表单解决方案：
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
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+$"}
))
# 从YAML加载表单
form = builder.load_from_yaml("form_config.yaml")
# 验证数据
result = form.validate({"email": "test@example.com"})
MIT
Powerful form generation and validation tool supporting JSON Schema, YAML config, conditional rendering.
This Skill provides a complete form solution:
form-builder-pro/
├── SKILL.md # This file
├── README.md # Usage documentation
├── requirements.txt # Dependencies
├── scripts/
│ └── form_engine.py # Form engine script
├── examples/
│ └── basic_usage.py # Usage examples
└── tests/
└── test_form.py # Unit tests
from scripts.form_engine import FormBuilder, Field
# Create form
builder = FormBuilder()
# Add fields
builder.add_field(Field(
name="email",
type="email",
label="Email",
required=True,
validation={"pattern": r"^[\w\.-]+@[\w\.-]+\.\w+$"}
))
# Load from YAML
form = builder.load_from_yaml("form_config.yaml")
# Validate data
result = form.validate({"email": "test@example.com"})
MIT