How does it handle features that are too large for a single plan?

The skill integrates with a backlog management system to defer non-critical tasks or refactors, allowing the current plan to remain bite-sized and achievable.

Does it support languages other than Python?

While the examples often use Python and Pytest, the skill is language-agnostic and will adapt its task structure to the specific tech stack of your project.

Why should I use the writing-plans skill before implementing code?

It ensures a structured approach by defining all file changes, test cases, and code snippets upfront, which prevents logic errors and ensures the implementation remains focused on the original requirements.

Does this skill work with autonomous subagents?

Yes, it specifically provides execution handoff options for subagent-driven development, providing the subagent with clear, context-free instructions for each task.

Where are the implementation plans stored?

Plans are saved as versioned Markdown files within the .artifacts/ folder of your project, categorized by the specific feature name.

Implementation Plan Architect

Name: Implementation Plan Architect
Author: astrosteveo

byastrosteveo

Productivity & Workflow

Generates granular, test-driven implementation blueprints that break down complex features into bite-sized, executable tasks.

About

The Implementation Plan Architect skill transforms high-level requirements into comprehensive, step-by-step technical roadmaps. Designed to minimize errors and context switching, it produces documentation that assumes zero codebase familiarity, ensuring every file modification, code snippet, and test command is explicitly defined. By enforcing Test-Driven Development (TDD), DRY principles, and frequent commits, this skill provides a structured bridge between initial brainstorming and final code execution, whether you are working solo or managing autonomous subagents.

Key Features

Enforced TDD workflow including failing test definitions and verification commands
Automated generation of granular task plans saved to structured artifact directories
Smart context extraction from previous brainstorming and design sessions
Integrated backlog management for handling out-of-scope tasks and tech debt
Seamless execution handoff for subagent-driven or parallel session development
0 GitHub stars

Use Cases

Coordinating work between multiple Claude Code sessions using shared implementation artifacts
Converting complex design specifications into a series of 5-minute executable coding tasks
Establishing a standardized TDD-first development process across a repository

About

Key Features

Enforced TDD workflow including failing test definitions and verification commands
Automated generation of granular task plans saved to structured artifact directories
Smart context extraction from previous brainstorming and design sessions
Integrated backlog management for handling out-of-scope tasks and tech debt
Seamless execution handoff for subagent-driven or parallel session development
0 GitHub stars

Use Cases

Coordinating work between multiple Claude Code sessions using shared implementation artifacts
Converting complex design specifications into a series of 5-minute executable coding tasks
Establishing a standardized TDD-first development process across a repository