planner

Convert feature specifications into executable bite-sized tasks for Autopilot.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill planner-ellevatedai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: planner
Source: https://github.com/EllevatedAI/MeMyselfAndI/tree/main/.claude/skills/planner
Command: npx skills add https://github.com/EllevatedAI/MeMyselfAndI --skill planner-ellevatedai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detailed implementation planning transforms feature specifications into actionable, bite-sized tasks that can be executed by an automation workflow.

Core Features & Use Cases

  • Convert high-level feature specs into granular tasks suitable for an autopilot workflow.
  • Enforce architectural structure and task boundaries to maintain code quality and modularity.
  • Use cases include breaking down product specs, preparing implementation plans, and generating task lists for Sprints.

Quick Start

Provide a clear plan for a given feature spec to drive automated task creation.

Frequently Asked Questions about planner

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

FAQPage Schema
How do I turn feature specs into executable tasks for automated workflows?

To turn feature specs into executable tasks, structured specifications located in ai/features/TYPE-XXX-*.md are processed and broken down into bite-sized tasks. This yields a plan_added status and a tasks_count value, preparing the output for an autopilot workflow.

What is the best way to break down software feature specifications for a sprint?

The best way to break down software feature specifications is to enforce architectural structure and task boundaries, converting high-level specs into granular, bite-sized tasks. This process maintains code modularity and generates actionable task lists for sprints.

Does the planner support structured software features with error handling?

Yes, the planner supports structured software features with clear specs, specifically applying error handling and task distribution during the breakdown process. It requires feature specs to be located in ai/features/TYPE-XXX-*.md files.

How do I prepare implementation plans from feature specs for automated task generation?

You prepare implementation plans by providing a clear plan for a given feature spec to drive automated task creation. The system transforms the structured feature specifications into actionable, bite-sized tasks suitable for an autopilot workflow.

Why does my feature specification need to be in a specific file format for task generation?

Feature specifications need to be in ai/features/TYPE-XXX-*.md files because the task generation mechanism relies on locating and parsing structured software features with clear specs from this specific directory structure to ensure accurate task distribution.

Can I use other planning tools in the same category for generating autopilot tasks?

Other planning tools in the same category can generate task lists, but this approach specifically enforces architectural structure and task boundaries to maintain code quality. It directly yields a plan_added status and a tasks_count value tailored for the autopilot workflow.