squad

Clone expert minds into operational agents and validate squad workflows.

Updated May 6, 2025
One-click install
npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill squad-rodrigo-altissimo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: squad
Source: https://github.com/rodrigo-altissimo/qiartificial/tree/main/.claude/skills/squad
Command: npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill squad-rodrigo-altissimo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you create specialized multi-agent teams by researching real expert minds, cloning their “DNA” into agents, and orchestrating squad creation end to end.

Core Features & Use Cases

  • Mind-first squad creation: prioritizes cloning elite real-world frameworks instead of generating generic bots, suitable for building domain-specific teams.
  • Voice DNA + Thinking DNA extraction: produces mind_dna_complete.yaml as the base for agents, then validates against quality gates.
  • Process-audited orchestration: uses workflow validation checkpoints and blocking/veto conditions to reduce wrong-path execution.

Quick Start

Request: “Create a squad for copywriting with top experts, then generate the agents and validate the quality gates.”

Frequently Asked Questions about squad

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

FAQPage Schema
How do I create a multi-agent team by cloning real expert minds?

Multi-agent team creation involves researching real expert minds and extracting their Voice DNA and Thinking DNA into a mind_dna_complete.yaml file. This operationalizes elite real-world thinking frameworks into specialized agents for domain-specific squads.

What is mind cloning for AI agent construction?

Mind cloning extracts an expert's DNA to construct operational AI agents. It captures voice and thinking frameworks, producing a mind_dna_complete.yaml base file that is then validated against quality gates for operational use.

How do I validate multi-agent workflows and prevent wrong-path execution?

Multi-agent workflow validation uses process-audited orchestration with validation checkpoints, blocking conditions, and veto conditions. This reduces wrong-path execution during squad creation and ensures deterministic output completion signals.

Do I need Python 3 to run agent orchestration and squad creation scripts?

Yes, Python 3 is required as a dependency to run the scripts for agent orchestration and squad creation. The environment uses hook-based script validation and subagent invocation to manage the operational workflow.

Can I resume an interrupted multi-agent project and track its state?

Yes, you can resume and track interrupted multi-agent projects across domains. The skill uses memory-backed state persistence and mandatory SKILL-led orchestration to recover and continue squad creation workflows.