Why does the skill break files into 800-line segments?

Breaking files ensures optimal context loading for AI agents, preventing token overflow and helping the model maintain focus on specific implementation phases.

Does it provide real-time progress monitoring?

It generates a centralized progress tracking file in the .claude/progress directory that serves as a single source of truth for task status across all phases.

What architecture patterns does the planning skill support?

It follows a layered MP architecture pattern, organizing plans into routers, services, repositories, and database layers for clean separation of concerns.

Can this skill assign tasks to specific AI subagents?

Yes, it automatically suggests subagent assignments such as data-layer-expert or ui-engineer-enhanced based on the technical requirements of each task.

AI Planning & Implementation

Name: AI Planning & Implementation
Author: miethe

bymiethe

Productivity & Workflow

Generates and optimizes PRDs, implementation plans, and progress tracking documents specifically designed for AI development agents.

About

The Planning Skill streamlines the software development lifecycle by creating AI-optimized project artifacts that stay within token limits. It transforms feature requests into detailed Product Requirements Documents (PRDs) and decomposes them into phased implementation plans with specific subagent assignments. By breaking down large planning files into modular segments and establishing structured progress tracking, it ensures that AI coding agents have the precise, manageable context they need to execute complex features without overwhelming their context window.

Key Features

Support for MP layered architecture compliance from database to UI
Optimize long documentation by breaking files into token-efficient segments under 800 lines
Create phased implementation plans with automated subagent task assignments
Generate AI-optimized PRDs from natural language feature requests
0 GitHub stars
Establish structured progress tracking files following CLAUDE.md policies

Use Cases

Refactoring bloated project plans into modular, AI-consumable phase files
Bootstrapping a new feature by generating a complete PRD and implementation roadmap
Managing multi-phase development tasks with clear subagent roles and status tracking

About

Key Features

Support for MP layered architecture compliance from database to UI
Optimize long documentation by breaking files into token-efficient segments under 800 lines
Create phased implementation plans with automated subagent task assignments
Generate AI-optimized PRDs from natural language feature requests
0 GitHub stars
Establish structured progress tracking files following CLAUDE.md policies

Use Cases

Refactoring bloated project plans into modular, AI-consumable phase files
Bootstrapping a new feature by generating a complete PRD and implementation roadmap
Managing multi-phase development tasks with clear subagent roles and status tracking