multi-agent

Orchestrates parallel AI agents with schema-validated JSON task dispatch and worker roles.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/hack-ink/skills --skill multi-agent-hack-ink
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-agent
Source: https://github.com/hack-ink/skills/tree/main/multi-agent
Command: npx skills add https://github.com/hack-ink/skills --skill multi-agent-hack-ink

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust framework for managing multiple AI agents concurrently, ensuring structured communication, defined roles, and verifiable outcomes for complex tasks that benefit from parallel processing.

Core Features & Use Cases

  • Parallel Task Execution: Distributes work across specialized agents (Operator, Coder, Auditor) for efficiency.
  • Strict Spawn Topology: Enforces a clear hierarchy (Director spawns workers) to prevent uncontrolled agent proliferation.
  • Schema-Validated Communication: Ensures all agent interactions adhere to predefined JSON schemas for reliability.
  • Use Case: Debugging a complex software issue that requires code analysis, execution of tests, and verification of fixes by multiple specialized AI agents working in concert.

Quick Start

Use the multi-agent skill to analyze the codebase for potential security vulnerabilities.

Frequently Asked Questions about multi-agent

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

FAQPage Schema
How do I orchestrate parallel AI agents for complex code analysis tasks?

You orchestrate parallel AI agents using a Director-led workflow that spawns specialized Operator, Coder, and Auditor agents. This manages complex tasks by enforcing strict spawn topologies and schema-validated communication to produce verifiable outcomes.

What is the best way to automate concurrent AI agent workflows for software debugging?

Automating concurrent AI agent workflows involves distributing work across role-defined agents that execute tests, analyze code, and verify fixes. A strict hierarchy prevents uncontrolled agent proliferation while ensuring evidence-backed verification for debugging.

How does schema-validated communication work in multi-agent orchestration?

Schema-validated communication enforces predefined JSON schemas for task dispatch and worker results. This ensures reliable communication between the Director and agents, maintaining structured interactions and verifiable outcomes throughout the parallel processing execution.

Can I use parallel AI agents to audit my codebase for security vulnerabilities?

Yes, you can use parallel AI agents to audit your codebase for potential security vulnerabilities. The framework assigns specialized agents to analyze code concurrently, enforcing strict spawn topologies to manage the auditing process and generate verified results.

Do I need specific dependencies to run parallel AI agent workflows?

No specific dependencies are required to run parallel AI agent workflows. The framework operates using included scripts and references, managing the Director-led orchestration and JSON schema validation internally without external tool dependencies.