planner

Plan complex tasks into milestones and executable steps with a Python script.

Updated Dec 9, 2025
One-click install
npx skills add https://github.com/mikeacjones/IronPath --skill planner-mikeacjones
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: planner
Source: https://github.com/mikeacjones/IronPath/tree/main/.claude/skills/planner
Command: npx skills add https://github.com/mikeacjones/IronPath --skill planner-mikeacjones

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps teams convert vague, multi-step tasks into a concrete, auditable plan with milestones, actions, and rationale that guides execution and review.

Core Features & Use Cases

  • Two-phase planning workflow with planning and review phases to structure tasks and validation.
  • Plan-to-execution artifacts including a milestone map, decision log, and risk notes that assist handoffs and reviews.
  • AI-assisted guidance via a Python script at scripts/planner.py to generate concrete steps, dependencies, and next actions.
  • Use Cases: planning a product feature, choreographing a system migration, or scoping a multi-team project.

Quick Start

Run the planner from the project root:

  • Planning: python3 scripts/planner.py --step-number 1 --total-steps 4 --thoughts "<problem statement>"
  • Review: python3 planner.py --phase review --step-number 1 --total-steps 2 --thoughts "Plan written to [path]" This provides a starting point for automated planning and downstream validation.

Frequently Asked Questions about planner

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

FAQPage Schema
How do I break down complex project tasks into structured milestones and executable steps?

You can break down complex project tasks into structured milestones using an AI-guided planning workflow that generates a milestone map, decision log, and risk notes. This two-phase process outputs concrete steps, dependencies, and next actions to guide phased execution.

What is the best way to plan a system migration or multi-team initiative with auditable rationale?

The best way to plan a system migration or multi-team initiative is to use a two-phase planning and review workflow that generates auditable artifacts. This approach converts vague tasks into a milestone map and decision log suitable for handoffs and downstream validation.

How do I generate project management artifacts like milestone maps and decision logs from a problem statement?

You generate project management artifacts by running a Python script with your problem statement as input. The AI-assisted script processes your input to output a structured milestone map, documented rationale, and risk notes for technical review.

Can I use this task decomposition workflow for product development planning?

Yes, you can use this task decomposition workflow for product development planning. It is specifically designed to scope product features, system migrations, and multi-team initiatives by phasing execution and generating documented rationale for review.

Does AI-guided project planning require any external dependencies or specific frameworks to run?

No, AI-guided project planning does not require external dependencies or specific frameworks to run. The workflow operates independently using a standalone Python script to generate planning artifacts and guide the review phase.

How does the review phase validate the generated plan and milestone map?

The review phase validates the generated plan by passing the written plan path to the Python script for assessment. This triggers a downstream validation process where a Technical Writer and Quality Reviewer assess the milestone map and documented rationale.