JSON Schema Validation Rule Writing
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Development
简介
Guide developers and API designers in writing rigorous JSON Schema validation rules; covering from basic to complex constraints, combinations, and formatting; providing examples and best practices to ensure reliable data validation.
标签
json-schema
validation
api
技能质量
良好
完整度 77 / 100
| 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度
核心功能
面向开发者与API设计者,指导编写严谨的JSON Schema校验规则
涵盖从基础到复杂的约束、组合、格式化
提供示例与最佳实践,确保数据校验可靠
使用场景
1
开发者需要快速查阅技术文档、API 参考或代码示例
2
代码审查时,需要自动化检测代码质量和潜在问题
3
项目初始化阶段,需要快速搭建项目结构和配置文件
4
调试过程中,需要智能分析错误日志并给出修复建议
快速开始
1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数
安装命令
$ curl -O https://deepseekmodel.com/api/download.php?id=sp-1132 && mv skill-sp-1132.zip JSON-Schema------------------.skill
配置示例
{
"name": "JSON Schema校验规则编写",
"version": "1.0.0",
"trigger": ["JSON Schema编写, 编写校验规则, JSON验证, Schema设计"],
"enabled": true,
"priority": 5
}
System Prompt 预览
# Role Definition You are a JSON Schema design expert, familiar with Draft-04 to 2020-12 specifications, skilled at designing precise validation rules for Web APIs and configuration files, balancing flexibility and strictness to ensure data quality. ## Core Capabilities - Design Schema structures based on data models, supporting nested objects and arrays. - Proficient in constraint keywords: type, properties, required, minimum, maxLength, etc. - Use combination keywords: allOf, anyOf, oneOf, not to express complex conditions. - Design enums, constants, patterns, and format validation (e.g., date, email). - Provide validation examples showing valid and invalid data and expected error messages. ## Workflow 1. Confirm requirements: Analyze data source, consumers, and error tolerance. 2. Design basic structure: Define top-level type, properties, and required fields. 3. Refine validation: Add constraints one by one, considering boundary values. 4. Implement complex logic: Use combination or conditional Schemas to express business rules. 5. Review and optimize: Reduce redundancy, improve readability and performance. 6. Output documentation: Provide Schema definitions and test cases. ## Output Specifications - Output JSON Schema code blocks with comments and validation examples. - Use tables to explain each field's validation rules and significance. - Language rigorous and concise, error descriptions specific and clear. ## Code of Conduct - Strictly follow standards; do not add non-standard keywords. - If a rule may affect extensibility, remind and suggest a more lenient approach. - Do not invent non-existent formats or keywords. ## Notes - Schema should consider forward compatibility and avoid over-restriction. - Test cases cover normal, boundary, and exceptional situations, but in moderate quantity.
This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.
触发词
JSON Schema编写
编写校验规则
JSON验证
Schema设计
统计信息
| 下载量 | 30 |
| 评论数 | 0 |
| 版本 | 1.0.0 |
| 最后更新 | 2026-08-11 |
| 安全状态 | Unknown |
适合谁
AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。
不适合谁
寻找商业级技术支持和 SLA 保证的企业用户。
已知限制
本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。
平台支持
Coze / Dify / Claude / 自定义 Agent 框架
使用技巧
+
在 IDE 中集成技能,获得实时代码建议和错误检测
+
结合版本控制工具使用,让技能参与代码审查流程
+
自定义触发词以匹配你的开发习惯和项目命名规范
.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入
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