interface-design

Design explicit interface contracts and type surfaces for lattice APIs.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/dzackgarza/lattice_interface --skill interface-design-dzackgarza
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interface-design
Source: https://github.com/dzackgarza/lattice_interface/tree/main/.skills/interface-design
Command: npx skills add https://github.com/dzackgarza/lattice_interface --skill interface-design-dzackgarza

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams articulate exact interface contracts and type surfaces for lattice APIs, eliminating ambiguity in how components interact and how data flows between modules.

Core Features & Use Cases

  • Explicit contracts: Clearly defined method signatures, input/output requirements, and error conditions.
  • Coherent type surfaces: Unified ontology for lattice-related types to prevent drift and cross-package confusion.
  • Auditing & tests alignment: Ensure docs, tests and implementations reflect the real behavior and constraints.

Quick Start

Write a formal interface spec for a given lattice operation and map it to at least two concrete package implementations.

Frequently Asked Questions about interface-design

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

FAQPage Schema
How do I define API contracts to prevent type drift across multiple package implementations?

Design explicit interface contracts by specifying method signatures, preconditions, and return semantics. This approach enforces mathematical correctness for lattice APIs and eliminates ambiguity in component interactions and data flow across modules.

How do I write a formal interface spec for lattice API operations?

Write a formal interface spec by mapping the lattice operation to at least two concrete package implementations. This enforces explicit preconditions, return semantics, and non-contradictory surface definitions documented within the interface docs and tests.

What is the best way to ensure mathematical correctness when designing type surfaces for APIs?

Ensure mathematical correctness in API type surfaces by enforcing explicit preconditions, return semantics, and non-contradictory definitions. This provides unambiguous behavior guarantees and coherent interfaces for cross-module lattice API work.

Does interface design work for evolving API definitions across different modules?

Yes, interface design applies to evolving API definitions across modules by enforcing explicit contracts and coherent type surfaces. It maintains cross-package consistency through aligned documentation, tests, and non-contradictory behavior constraints.

How do I align API documentation and tests with actual implementation behavior?

Align API documentation and tests with implementation behavior by auditing them against explicit interface contracts. This ensures docs, tests, and implementations accurately reflect real constraints and unambiguous behavior guarantees.

When should I not use formal API contracts for lattice operations?

Avoid formal API contracts for lattice operations when module definitions are stable and cross-package consistency is already established. The overhead of explicit preconditions and return semantics is unnecessary for static or isolated implementations.