plan-phase

Orchestrate adversarial planning workflows for complex software engineering tasks.

36|2|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/alicicek/tale-mode --skill plan-phase-alicicek
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-phase
Source: https://github.com/alicicek/tale-mode/tree/main/plugins/tale-mode/skills/plan-phase
Command: npx skills add https://github.com/alicicek/tale-mode --skill plan-phase-alicicek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the tendency of AI models to cut corners on complex tasks by enforcing a rigorous, multi-step planning process that prioritizes verification, adversarial review, and clear, testable outcomes.

Core Features & Use Cases

  • Adversarial Review: Uses a fresh-context sub-agent to stress-test plans for design holes and stale assumptions before execution begins.
  • Verification-First Planning: Mandates reading actual code and documentation to cite specific file lines, ensuring decisions are based on reality rather than training memory.
  • Phase Decomposition: Breaks large, multi-session projects into independently-shippable phases with defined gates and rollback strategies.

Quick Start

Invoke the plan-phase skill to architect a robust implementation plan for your current multi-session feature request.

Frequently Asked Questions about plan-phase

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

FAQPage Schema
How do I plan complex software architecture for multi-session builds?▼

Planning complex software architecture requires decomposing large features into verifiable, independently-shippable phases. This skill orchestrates a high-integrity workflow enforcing adversarial review and evidence-based decision making across multi-session development cycles.

What is adversarial review in software planning?▼

Adversarial review in software planning uses a fresh-context sub-agent to stress-test your architectural plans for design holes and stale assumptions before execution begins. It ensures your engineering decisions are validated against reality rather than training memory.

How do I decompose large features into shippable phases?▼

Decomposing large features into shippable phases involves breaking multi-session projects into defined segments with specific gates and rollback strategies. This skill mandates reading actual code to cite specific file lines, ensuring each phase is independently testable.

Can I use sub-agent frameworks to verify planning assumptions against a live codebase?▼

Yes, verifying planning assumptions against a live codebase requires integration with host-specific read tools and sub-agent frameworks. This skill mandates reading actual code and documentation to validate architectural decisions during the planning phase.

Does plan-phase work without dependencies or external components?▼

Plan-phase operates independently with no declared dependencies or components, but effectively executing its verification-first planning workflow requires integration with host-specific read tools and sub-agent frameworks to validate assumptions against your live codebase.

Why does AI planning fail on complex engineering tasks?▼

AI planning fails on complex engineering tasks due to the tendency of AI models to cut corners by relying on training memory. This skill enforces a rigorous, multi-step planning process prioritizing verification, adversarial review, and clear testable outcomes.