contract-engineering

Validate B3→B4 payload contracts against the shared/contracts.md schema.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gapfDev/workflow --skill contract-engineering
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: contract-engineering
Source: https://github.com/gapfDev/workflow/tree/main/c1.5/.claude/skills/contract-engineering
Command: npx skills add https://github.com/gapfDev/workflow --skill contract-engineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Handoff contracts between producer and consumer components (B3 to B4) require precise, machine-checkable payload schemas to prevent miscommunication and regression.

Core Features & Use Cases

  • Enforces a strict B3→B4 payload contract according to the shared contracts schema.
  • Validates presence of required fields and data contracts, enabling reliable handoffs in modular architectures.
  • Use Case: When integrating a new Implementer, ensure the B3 payload is correct and consumable by B4 before deployment.

Quick Start

Use the B3→B4 payload contract to feed the Implementer and validate it against the shared/contracts.md schema.

Frequently Asked Questions about contract-engineering

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

FAQPage Schema
How do I validate a payload contract before an engineering handoff?

Payload contract validation is performed by checking the B3 producer payload against the shared/contracts.md schema to ensure required fields and data contracts are present for reliable B4 consumer handoffs.

Why does my B3 to B4 component handoff fail with missing data contracts?

B3 to B4 handoffs fail when the payload lacks required fields or does not conform to the strict shared/contracts.md schema, preventing the B4 consumer from correctly interpreting the data contract.

What is a B3 to B4 payload contract and when do I need it?

A B3 to B4 payload contract is a machine-checkable schema enforcing strict data validation between producer and consumer components, needed during modular architecture integration to prevent miscommunication and regression.

Can I use schema validation for BDD lifecycle flow in modular architectures?

Schema validation supports BDD lifecycle flow by verifying explicit data contracts and implementation validation, ensuring the B3 payload is correct and consumable by the B4 component before deployment.

How do I verify a producer payload is consumable by a consumer before deployment?

To verify a producer payload is consumable, feed the B3 payload to the Implementer and validate it against the shared/contracts.md schema to enforce strict contract verification before B4 deployment.