schema-validation

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Updated Mar 1, 2026
One-click install
npx skills add https://github.com/zangxin75/openclaw-skills --skill schema-validation-zangxin75
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-validation
Source: https://github.com/zangxin75/openclaw-skills/tree/main/schema-validation
Command: npx skills add https://github.com/zangxin75/openclaw-skills --skill schema-validation-zangxin75

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that data used in construction projects, such as API payloads, imported files, and exported BIM data, adheres to predefined structural rules, preventing errors and inconsistencies.

Core Features & Use Cases

  • Schema Definition: Define structured schemas for various construction data types (cost estimates, schedules, BIM elements, RFIs).
  • Data Validation: Validate incoming data against these defined schemas to ensure compliance.
  • Error Reporting: Provide detailed reports on validation failures, highlighting specific issues.
  • Use Case: Before processing a new cost estimate file, use this Skill to validate it against the CostEstimate schema, ensuring all required fields are present and correctly formatted, thus preventing downstream processing errors.

Quick Start

Use the schema-validation skill to validate the provided JSON data against the 'CostEstimate' schema.

Frequently Asked Questions about schema-validation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate construction data like cost estimates and RFIs before processing?

You can validate construction data against predefined schemas using Python classes and a registry. This ensures data structure compliance for cost estimates, project schedules, BIM elements, and RFIs before pipeline processing.

What is the best way to enforce data structure compliance for API requests and file imports?

The best way to enforce data structure compliance is validating incoming data against defined schemas. This ensures API payloads and imported files adhere to predefined structural rules, preventing errors and inconsistencies.

Can I export JSON schemas for my construction project data types?

Yes, you can export JSON schemas for various construction data types. This supports integration into data pipelines for API requests and file imports, ensuring consistent data validation across systems.

How does schema validation handle errors in BIM elements and project schedules?

Schema validation provides detailed error reports on validation failures, highlighting specific issues in BIM elements and project schedules. This helps identify missing required fields or incorrect formatting before downstream processing.

Do I need Python to validate construction data against predefined schemas?

Yes, Python is required as the validation mechanism uses Python classes and a registry to validate construction data. This approach enforces data structure compliance for various construction project data types.

When should I use schema validation for construction project data?

Use schema validation before processing new construction data files, such as cost estimates. This ensures all required fields are present and correctly formatted, preventing downstream processing errors and maintaining data integrity.