Where are the generated plans stored?

Plans are automatically saved as Markdown files in the docs/plans/ directory of your project for future reference and documentation.

Does this skill support Test-Driven Development (TDD)?

Yes, the skill explicitly structures every task around writing a failing test, running it, implementing minimal code, and then verifying the pass.

Can Claude execute the plans it writes?

Yes, after creating a plan, the skill offers two execution paths: using a subagent-driven workflow in the current session or a parallel session using the executing-plans sub-skill.

What is the primary benefit of the Writing Plans skill?

It breaks down complex requirements into granular, test-driven tasks that can be executed by humans or AI agents with zero prior context of the codebase.

Implementation Plan Architect

Name: Implementation Plan Architect
Author: BbgnsurfTech

byBbgnsurfTech

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Productivity & Workflow

Generates granular, step-by-step implementation plans for complex coding tasks following TDD and DRY principles.

About

The Implementation Plan Architect skill transforms high-level requirements into exhaustive, bite-sized implementation guides designed for developers or AI agents with zero codebase context. By enforcing Test-Driven Development (TDD), YAGNI, and exact file path specifications, it ensures high-quality code output and predictable progress through 2-5 minute tasks. It automatically documents plans in a structured Markdown format and provides clear handoff options for subagent-driven or parallel execution, making it an essential tool for orchestrating multi-step software engineering workflows within Claude Code.

Key Features

Granular task breakdown into 2-5 minute actionable steps
Exact file path and code snippet generation for every step
3 GitHub stars
Strict adherence to TDD, DRY, and YAGNI principles
Automated plan documentation in the docs/plans directory
Integrated handoff for subagent-driven or parallel execution

Use Cases

Architecting multi-file features before writing production code
Orchestrating AI subagents to execute complex engineering tasks
Onboarding developers to a complex codebase with precise instructions

About

Key Features

Granular task breakdown into 2-5 minute actionable steps
Exact file path and code snippet generation for every step
3 GitHub stars
Strict adherence to TDD, DRY, and YAGNI principles
Automated plan documentation in the docs/plans directory
Integrated handoff for subagent-driven or parallel execution

Use Cases

Architecting multi-file features before writing production code
Orchestrating AI subagents to execute complex engineering tasks
Onboarding developers to a complex codebase with precise instructions