Does this skill work with any programming language?

Yes, while the methodology emphasizes TDD, it is language-agnostic and works with any technology stack that supports automated testing and command-line execution.

Can I skip TDD for documentation or styling tasks?

Yes, the skill allows you to mark specific tasks with [Skip TDD] for non-functional changes like documentation, configuration, or pure styling.

How granular are the tasks generated by this skill?

Tasks are designed to be 'bite-sized,' typically taking 2-5 minutes to execute, involving a single action like writing a test, running a command, or committing code.

Why does this skill save plans to a separate file?

Saving plans to .artifacts/plans/ allows you to maintain a persistent roadmap that can be executed in a fresh Claude session, ensuring the AI focuses purely on implementation without the noise of the planning conversation.

Technical Implementation Planner

Name: Technical Implementation Planner
Author: astrosteveo

byastrosteveo

生产力与工作流

Generates granular, TDD-driven implementation plans that break complex features into bite-sized, executable tasks for reliable code delivery.

关于

The writing-plans skill transforms high-level requirements into a rigorous, step-by-step roadmap for software development. By enforcing Test-Driven Development (TDD) as the default and requiring explicit file paths, exact terminal commands, and specific code snippets, it ensures that Claude follows a high-quality, predictable path from specification to production. This skill helps minimize technical debt, encourages frequent commits, and creates a clear audit trail of architectural decisions by saving plans as markdown artifacts that can be executed in fresh sessions.

主要功能

Granular task breakdown into 2-5 minute execution steps
Standardized architectural headers and technology stack documentation
Automated TDD-first planning with Red-Green-Refactor cycles
Explicit file path and command-line instruction generation
Artifact generation for state-persistence across AI sessions
0 GitHub stars

使用场景

Onboarding AI agents to complex codebases with minimal initial context
Designing and implementing a new feature from a product specification
Refactoring existing codebases with a focus on regression testing

关于

主要功能

Granular task breakdown into 2-5 minute execution steps
Standardized architectural headers and technology stack documentation
Automated TDD-first planning with Red-Green-Refactor cycles
Explicit file path and command-line instruction generation
Artifact generation for state-persistence across AI sessions
0 GitHub stars

使用场景

Onboarding AI agents to complex codebases with minimal initial context
Designing and implementing a new feature from a product specification
Refactoring existing codebases with a focus on regression testing