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DavidsonGomes
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evo-architect

Orchestrate architect-level AI agents with YAML frontmatter and deterministic activation flows.

Updated Apr 6, 2026
Search Tags:#workflow#ai#agents#orchestration#governance#architect#OpenClaude
One-click install
npx skills add https://github.com/DavidsonGomes/claude_cowork_workspace --skill evo-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evo-architect
Source: https://github.com/DavidsonGomes/claude_cowork_workspace/tree/main/.claude/skills/evo-architect
Command: npx skills add https://github.com/DavidsonGomes/claude_cowork_workspace --skill evo-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates architect-level AI agents to manage complex multi-agent workflows within OpenClaude's operational fabric, delivering consistent governance and predictable activation.

Core Features & Use Cases

  • Persona-enforced activation: loads the full agent persona and adheres to the defined activation steps.
  • Interactive onboarding: greets users and presents a numbered menu to guide interactions.
  • Safe, deterministic control: enforces strict prompts and requires user input before proceeding.
  • Multi-agent governance: coordinates agent prompts, memory, and lifecycle within the system.

Quick Start

Load the evo-architect agent and follow the activation steps exactly as defined in its SKILL.md to begin.

Frequently Asked Questions about evo-architect

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

FAQPage Schema
How do I orchestrate multi-agent workflows with persistent memory and strict governance?▼

You orchestrate multi-agent workflows by loading an architect-level agent that enforces strict persona conformance, manages persistent memory, and applies deterministic activation pipelines across tasks for consistent governance.

What is deterministic agent activation and how does it work for AI workflows?▼

Deterministic agent activation is a controlled startup process that loads a full agent persona from a designated file, enforces strict prompts, and requires user input before proceeding to ensure predictable workflow behavior.

Can I use YAML frontmatter to define AI agent personas in OpenClaude-like environments?▼

Yes, the agent specifies a YAML frontmatter with name and description to define the agent persona in OpenClaude-like environments, loading the full persona from a designated file to ensure strict conformance.

How do I set up an interactive onboarding menu for AI agents?▼

Interactive onboarding is set up by enforcing a deterministic activation flow that greets users with a welcome message and presents a numbered menu, requiring user input before proceeding with any workflow actions.

What's the best way to manage multi-agent lifecycles and coordinate prompts?▼

The best way to manage multi-agent lifecycles is using an orchestration layer that coordinates agent prompts, memory, and lifecycle within the system, delivering consistent governance and predictable activation across complex workflows.

Why does my AI agent activation fail to maintain persona conformance across tasks?▼

Persona conformance fails when the agent does not load the full persona from the designated file or skips the deterministic activation flow, bypassing the strict prompts and user input required for consistent behavior.

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