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architectural-planning

Coordinate multi-agent tasks with handoff protocols and prompt templates.

Updated Mar 2, 2026
Search Tags:#multi-agent#decomposition#handoff#prompt-engineering#context-management#architectural-planning#scope-control
One-click install
npx skills add https://github.com/akourmaz/translate2 --skill architectural-planning-akourmaz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: architectural-planning
Source: https://github.com/akourmaz/translate2/tree/main/.agents/skills/architectural-planning
Command: npx skills add https://github.com/akourmaz/translate2 --skill architectural-planning-akourmaz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The architectural-planning skill provides a comprehensive, governance-focused toolkit for planning and delegating tasks across AI agent modes. It offers protocols, templates, and guides that enable structured handoffs, clear scope definitions, and effective context management. It does not impose a fixed role; instead, roles are defined by the active mode (e.g., @meta-architect), and the toolkit can be loaded by any mode as needed.

Core Features & Use Cases

  • Handoff Protocols for passing tasks between modes (e.g., @coder, @reviewer, @coder-expert, @meta-architect).
  • Prompt Templates for standardizing task execution (implement, fix-bug, refactor) and for quality checks.
  • Guides & Templates for decomposition, scope control, mermaid diagrams, and architecture documentation.
  • Use cases include planning complex tasks, decomposing into atomic tasks, ensuring scope discipline, and coordinating multi-phase work with STOP gates and feedback loops.

Quick Start

Load the architectural-planning toolkit and begin structuring your Plan.md with the handoff protocols and prompts templates.

Frequently Asked Questions about architectural-planning

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

FAQPage Schema
How do I coordinate complex multi-agent tasks across different AI modes?▼

You can coordinate complex multi-agent tasks by applying standardized handoff protocols and prompt templates that define clear scope boundaries and safe execution gates across modes like @coder and @reviewer.

What is the best way to decompose complex software tasks into atomic units?▼

Decomposing complex tasks involves using dedicated decomposition guides to break work into atomic units while enforcing scope discipline and generating traceable planning artifacts such as Plan.md and ADRs.

How do I standardize prompts for task execution and quality checks?▼

Standardizing task execution involves applying prompt templates designed for operations like implement, fix-bug, and refactor, ensuring consistent execution quality and traceable feedback loops across agents.

Can I use this architectural planning toolkit with any AI agent role?▼

Yes, the toolkit can be loaded by any active mode since it does not impose a fixed role; roles are defined by active modes such as @meta-architect, allowing flexible cross-agent collaboration.

How do I manage context and enforce safe execution boundaries during cross-agent collaboration?▼

Managing context during cross-agent collaboration requires applying structured handoff protocols, STOP gates, and context management guides to maintain safe execution boundaries and traceable planning artifacts.

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