AI ToolsJan 18, 2026

Building midnight-agent-skills: AI-Powered Development for Privacy-First Blockchain

A curated knowledge package to enhance AI coding assistants for Midnight Network development. Generate correct Compact v0.19+ syntax with verified code examples.

The Problem: Privacy Blockchain Development is Hard

Building on Midnight Network presents unique challenges compared to traditional blockchains:

  • New Language: Compact, a domain-specific language for zero-knowledge circuits
  • Privacy Primitives: Shielded/unshielded states, selective disclosure, witnesses
  • Complex Tooling: Proof servers, indexers, specialized nodes
  • Limited Resources: Fewer tutorials, examples, and Stack Overflow answers

Developers face significant friction debugging syntax errors, understanding deprecated patterns, and configuring infrastructure components with proper version synchronization.

The Insight: AI Agents Need Midnight-Specific Knowledge

Existing AI coding assistants have knowledge cutoffs and lack domain expertise in:

  • Latest Compact syntax (v0.19+ as of December 2025)
  • Midnight-specific patterns (commit-reveal, selective disclosure)
  • Infrastructure setup quirks
  • Common mistakes and corrections

The solution involves packaging domain-specific knowledge that AI agents can consume and utilize effectively.

The Solution: midnight-agent-skills

This project extends AI coding assistants with curated, verified Midnight development knowledge through the Agent Skills format from Vercel.

How It Works

The system provides a structured knowledge base that AI agents read automatically:

text
AI Agent reads CLAUDE.md/AGENTS.md → accesses skills/ directory →

generates correct Midnight code

Available skills include:

  • midnight-compact-guide: Correct Compact v0.19+ syntax and common error prevention
  • midnight-sdk-guide: TypeScript SDK integration patterns
  • midnight-infra-setup: Local infrastructure configuration
  • midnight-deploy: Deployment workflows
  • midnight-test-runner: Testing with Vitest

Syntax Corrections Provided

AI Would GenerateCorrect Pattern
ledger { counter: Counter; }export ledger counter: Counter;
circuit fn(): Voidcircuit fn(): []
pure function helper()pure circuit helper()
Choice::rockChoice.rock
counter.value()counter.read()

Technical Architecture

Project Structure

text
midnight-agent-skills/

├── bin/cli.js # npx entry point

├── skills/

│ ├── midnight-compact-guide/

│ ├── midnight-sdk-guide/

│ ├── midnight-infra-setup/

│ ├── midnight-deploy/

│ └── midnight-test-runner/

├── AGENTS.md # Agent guidance

├── CLAUDE.md # Claude-specific guidance

└── package.json

Verification Process

All code patterns were verified against authoritative sources prioritized as:

  • MeshJS Starter Template (December 2025 update)
  • Midnight Official Documentation
  • midnight-mcp Syntax Guide
  • OpenZeppelin Compact Contracts

Quick Start

bash
mkdir my-midnight-dapp
cd my-midnight-dapp
npx midnight-agent-skills init

After installation, AI assistants automatically discover and apply the skills when working on Midnight projects.

Example: Voting Contract

The system enables AI to generate properly-structured contracts like shielded voting systems with correct syntax:

compact
pragma language_version >= 0.19;
import CompactStandardLibrary;

export ledger totalVotes: Counter;
export ledger hasVoted: Map<Bytes<32>, Boolean>;

witness local_secret_key(): Bytes<32>;

circuit get_voter_id(): Bytes<32> {
  const sk = local_secret_key();
  return persistentHash<Vector<2, Bytes<32>>>([pad(32, "vote:id:"), sk]);

}

export circuit vote(choice: Uint<8>): [] { const voter = get_voter_id(); assert(disclose(!hasVoted.member(voter)), "Already voted");

hasVoted.insert(disclose(voter), true);

totalVotes.increment(1);

}

Problems Solved

  • Syntax Generation: Eliminates incorrect return types and deprecated patterns
  • Outdated Patterns: Prevents use of deprecated block syntax
  • Infrastructure Confusion: Provides exact version requirements
  • Missing Patterns: Supplies verified, working implementations
  • Testing Struggles: Includes simulator and private state patterns

Future Enhancements

Planned skills include midnight-audit, midnight-upgrade, midnight-bridge, and midnight-identity. Additional tooling planned includes VS Code extension, web interface, and auto-update mechanisms.

Resources

  • GitHub: https://github.com/UvRoxx/midnight-agent-skills
  • Midnight Documentation: https://docs.midnight.network
  • Compact Language Reference: https://docs.midnight.network/develop/reference/compact/lang-ref
  • MeshJS Template: https://github.com/MeshJS/midnight-starter-template