write-contract

Generate GenLayer contract skeletons with storage, validator, and deployment guidance.

2|1|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/proven-xyz/proven-app --skill write-contract-proven-xyz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: write-contract
Source: https://github.com/proven-xyz/proven-app/tree/main/.agents/skills/write-contract
Command: npx skills add https://github.com/proven-xyz/proven-app --skill write-contract-proven-xyz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GenLayer contract development is error-prone and hard to audit; this skill provides a structured framework to design, write, and harden GenLayer intelligent contracts, including storage patterns, validator logic, and LLM resilience to ensure production-grade quality.

Core Features & Use Cases

  • Contract skeletons with explicit storage rules and typing guidance
  • Equivalence-principle selection, validator pattern guidance, and error classification
  • Cross-contract interaction patterns, linting guidance, and testing strategy to enable production deployment

Quick Start

Draft a production-ready GenLayer contract skeleton that includes storage definitions, an example validator, and a plan for deployment.

Frequently Asked Questions about write-contract

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

FAQPage Schema
How do I write a production-grade GenLayer contract with proper storage modeling and validator patterns?

To write production-grade GenLayer contracts, you need structured design guidance that enforces equivalence-principle choices, validator patterns, and storage modeling. This framework provides contract skeletons, linting, and test scaffolds to ensure secure, auditable deployment.

What is the equivalence principle in GenLayer contract design and when do I need it?

The equivalence principle in GenLayer contract design governs how validator logic reaches consensus. You need it during contract creation and major changes to ensure LLM hardening and robust error handling produce deterministic, auditable execution paths.

How do I harden LLM calls inside GenLayer intelligent contracts against errors?

Harden LLM calls in GenLayer contracts by applying rigorous error classification and validator pattern guidance. This framework enforces strict storage typing and cross-contract interaction patterns to prevent unpredictable LLM outputs from breaking contract logic.

Can I use this framework to scaffold testing and deployment for GenLayer contracts?

Yes, you can scaffold testing and deployment for GenLayer contracts using the included test strategies and deployment guidance. It provides contract skeletons with explicit storage rules and linting to help teams ship auditable production code.

What is the best way to structure cross-contract interactions in GenLayer to avoid audit failures?

The best way to structure cross-contract interactions in GenLayer is by using explicit interaction patterns paired with linting guidance and storage modeling. This approach ensures robust error handling and produces secure, auditable contracts.

Why does my GenLayer contract fail validation during major changes despite passing local tests?

GenLayer contract validation often fails during major changes when equivalence-principle choices and validator patterns are not enforced. Without rigorous storage modeling and LLM hardening, local tests miss edge cases that production validators catch.