Why are the tasks so small?

Small tasks (2-5 minutes) reduce the cognitive load on the developer or AI agent, making it easier to verify correctness and maintain a clean git history.

How does this skill improve code quality?

By enforcing Test-Driven Development (TDD) and bite-sized commits, the skill ensures every line of code is tested and every change is documented and intentional.

Where are the implementation plans stored?

All generated plans are saved as Markdown files within the docs/plans/ directory of your repository, organized by date and feature name.

Can I use these plans with other AI tools?

Yes, the plans are standardized Markdown files designed to be executed by Claude subagents or other automated execution skills like 'executing-plans'.

What is the Writing Plans skill?

It is a specialized capability for Claude Code that creates a detailed, step-by-step roadmap for software features before any implementation begins, ensuring architectural consistency.

Writing Plans for Claude Code

Name: Writing Plans for Claude Code
Author: EricOo0

byEricOo0

•

Productivity & Workflow

Generates granular, test-driven implementation plans that guide AI agents through complex development tasks with precision.

About

The Writing Plans skill streamlines software development by transforming high-level requirements into detailed, bite-sized execution steps before any code is written. It enforces best practices like Test-Driven Development (TDD), DRY principles, and YAGNI, ensuring that development remains focused and maintainable even in unfamiliar codebases. By documenting exact file paths, shell commands, and expected test outputs, it provides a rigorous roadmap that minimizes architectural drift and facilitates seamless handoffs between human developers and AI subagents.

Key Features

Standardizes plan documentation in a dedicated docs/plans directory
Enforces Test-Driven Development (TDD) workflows automatically
Provides exact file paths and shell commands for error-free execution
Generates hyper-granular task lists with 2-5 minute action steps
Integrates with subagent-driven and parallel execution workflows
6 GitHub stars

Use Cases

Onboarding AI agents to a codebase by providing zero-context implementation roadmaps
Planning complex feature implementations from a technical specification or requirements document
Breaking down large-scale refactoring tasks into manageable, test-verified commits

About

Key Features

Standardizes plan documentation in a dedicated docs/plans directory
Enforces Test-Driven Development (TDD) workflows automatically
Provides exact file paths and shell commands for error-free execution
Generates hyper-granular task lists with 2-5 minute action steps
Integrates with subagent-driven and parallel execution workflows
6 GitHub stars

Use Cases

Onboarding AI agents to a codebase by providing zero-context implementation roadmaps
Planning complex feature implementations from a technical specification or requirements document
Breaking down large-scale refactoring tasks into manageable, test-verified commits