step2

Transform decision artifacts into structured parallel execution plans for subagent dispatch.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/gsa9/3-step-plan-claude-code --skill step2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: step2
Source: https://github.com/gsa9/3-step-plan-claude-code/tree/main/skills/step2
Command: npx skills add https://github.com/gsa9/3-step-plan-claude-code --skill step2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill takes high-level decisions and transforms them into a detailed, executable plan with distinct phases, guardrails, and dependencies, ready for subagent execution.

Core Features & Use Cases

  • Decision to Plan Transformation: Converts raw decisions from _step1_decisions.md into a structured plan.
  • Parallelism Optimization: Designs phases to maximize safe parallel execution.
  • Guardrail Integration: Incorporates risks and constraints into specific phases.
  • Use Case: After outlining a new feature's requirements in Step 1, use Step 2 to break down the implementation into manageable, parallelizable tasks for different subagents, ensuring all constraints are met.

Quick Start

Use the step2 skill to create a detailed execution plan from the decisions file.

Frequently Asked Questions about step2

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

FAQPage Schema
How do I convert high-level decisions into an execution plan for code generation?

Transforming decisions into an execution plan involves analyzing decision artifacts to design discrete phases with explicit dependencies and guardrails. This structures high-level requirements into parallelism-maximized tasks ready for subagent dispatch.

How do I structure workflows to maximize parallel execution for subagents?

Maximizing parallel execution for subagents requires designing discrete workflow phases with explicit dependencies. This approach ensures safe parallelism by analyzing decision artifacts to identify independent tasks while maintaining necessary execution guardrails.

What is subagent dispatch planning in software engineering workflows?

Subagent dispatch planning is the process of breaking down decision transformations into structured, parallelism-maximized execution phases. It ensures subagent autonomy and context budget adherence while providing reference materials for reliable code modification.

How do I integrate guardrails and constraints into a multi-phase execution plan?

Integrating guardrails into an execution plan involves analyzing decision artifacts to identify risks and constraints, then incorporating them directly into specific phases. This ensures subagent autonomy while maintaining reliable code generation workflows.

Can I use decision transformation to ensure subagent autonomy and context budget adherence?

Decision transformation ensures subagent autonomy and context budget adherence by converting raw decisions into a structured plan with discrete phases. This approach designs explicit dependencies and reference materials to keep code generation workflows reliable.

What are the limitations of manual workflow planning for subagent dispatch?

Manual workflow planning lacks parallelism optimization and structured guardrail integration. Without decision transformation, managing explicit dependencies and context budget adherence for reliable subagent code generation becomes difficult and error-prone.