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.