crypto-zkp

What problem does it solve?

This Skill streamlines the complex process of designing Zero-Knowledge (ZK) circuits, selecting appropriate proof systems, and ensuring the security and correctness of ZKP implementations.

Core Features & Use Cases

• Proof System Guidance: Provides a decision framework for choosing between STARKs, PLONK, Groth16, and others based on project needs (e.g., post-quantum security, proof size, setup requirements).
• Circuit Engineering Best Practices: Details arithmetization techniques (R1CS, PLONKish), optimization patterns, and the critical distinction between witness assignment and constraints in tools like circom.
• Security Auditing: Enforces adversarial constraint testing via a fuzzer directive to prevent under-constrained circuits, a common ZKP vulnerability.
• Formal Verification & Tooling: Outlines the use of formal verification tools and provides a comprehensive overview of the ZKP tooling ecosystem.
• Use Case: A team is developing a privacy-preserving application and needs to select the most suitable ZK proof system for their specific requirements regarding proof size and verification speed. This Skill guides them through the decision-making process and highlights best practices for circuit implementation.

Quick Start

Use the crypto-zkp skill to guide proof system selection for a new ZK circuit.