Where are the implementation plans stored?

Plans are automatically saved as Markdown files in the 'docs/plans/' directory with a standardized date and feature name format.

How does this skill support Test-Driven Development?

It explicitly structures every task into a four-step TDD cycle: write a failing test, verify the failure, implement minimal code, and verify the pass.

Can I use these plans with AI sub-agents?

Yes, the skill includes a specific handoff mechanism to trigger subagent-driven development or parallel execution sessions.

What level of detail is included in each plan?

Plans include exact file paths, specific line numbers for modifications, complete code examples, and precise CLI commands with expected outputs.

Implementation Plan Architect

Name: Implementation Plan Architect
Author: franroa

byfranroa

Productivity & Workflow

Generates granular, step-by-step implementation plans with exact file paths and TDD instructions for engineers with zero codebase context.

About

The Implementation Plan Architect skill transforms high-level designs into exhaustive, task-oriented roadmaps. It is specifically designed to assist developers or AI sub-agents who lack domain knowledge by providing precise file paths, code snippets for failing tests, and minimal implementation steps. By enforcing TDD principles, DRY/YAGNI patterns, and frequent commits, it ensures high-quality code output and provides a seamless handoff for execution through dedicated sub-skills, making it indispensable for complex feature development and remote collaboration.

Key Features

Exact file path and line number specifications
Test-Driven Development (TDD) workflow integration
Granular task breakdown (2-5 minute discrete actions)
Integrated handoff for subagent-driven execution
Automated plan versioning in docs/plans directory
0 GitHub stars

Use Cases

Orchestrating AI sub-agents for reliable multi-file code implementations.
Converting complex architectural designs into actionable developer tasks.
Onboarding new engineers by providing low-friction, high-context work instructions.

About

Key Features

Exact file path and line number specifications
Test-Driven Development (TDD) workflow integration
Granular task breakdown (2-5 minute discrete actions)
Integrated handoff for subagent-driven execution
Automated plan versioning in docs/plans directory
0 GitHub stars

Use Cases

Orchestrating AI sub-agents for reliable multi-file code implementations.
Converting complex architectural designs into actionable developer tasks.
Onboarding new engineers by providing low-friction, high-context work instructions.