Can I use these plans with other Claude Code skills?

Yes, once a plan is generated, it is designed to be executed using either the 'subagent-driven-development' or 'executing-plans' sub-skills for efficient delivery.

Where can I find the plans created by this skill?

Plans are automatically saved to your project's repository under the `docs/plans/` directory, following a standardized date-and-feature naming convention.

What does the writing-plans skill actually do?

It creates a detailed Markdown implementation plan that outlines every file to be changed, the tests to be written, and the specific code to be implemented before the actual coding starts.

How does this skill support Test-Driven Development?

Every plan generated by the skill follows a strict TDD cycle: write a failing test, run it, implement the minimal pass, and then commit the changes.

Implementation Planner

Name: Implementation Planner
Author: dkyazzentwatwa

bydkyazzentwatwa

•

Productivity & Workflow

Generates comprehensive, TDD-focused implementation plans for multi-step coding tasks before code is written.

About

The Implementation Planner skill provides a structured framework for architecting complex features within Claude Code. It enforces industry best practices like Test-Driven Development (TDD), DRY, and YAGNI by breaking down high-level requirements into granular, 2-5 minute tasks. Each plan includes exact file paths, failing test definitions, and minimal code implementations, saving the output to a dedicated documentation directory. This ensures that the AI has a clear, testable roadmap for execution, whether through subagents or parallel sessions, minimizing technical debt and architectural drift.

Key Features

Automated plan documentation saved directly to your repository's docs folder
Standardized TDD workflow integration including failing tests and minimal implementation
Granular task breakdown with exact file paths and CLI commands
Seamless handoff to subagent-driven or parallel execution modes
29 GitHub stars
Enforces architectural consistency and frequent git commit patterns

Use Cases

Scaffolding complex features from a specification document before implementation begins
Providing a structured roadmap for AI subagents to follow in complex codebases
Managing large-scale refactors by breaking them into small, verifiable units of work

About

Key Features

Automated plan documentation saved directly to your repository's docs folder
Standardized TDD workflow integration including failing tests and minimal implementation
Granular task breakdown with exact file paths and CLI commands
Seamless handoff to subagent-driven or parallel execution modes
29 GitHub stars
Enforces architectural consistency and frequent git commit patterns

Use Cases

Scaffolding complex features from a specification document before implementation begins
Providing a structured roadmap for AI subagents to follow in complex codebases
Managing large-scale refactors by breaking them into small, verifiable units of work