Can I use this for existing codebases?

Absolutely. It is designed to work in dedicated worktrees to ensure clean feature isolation and minimal disruption to your main codebase.

Where are the generated plans saved?

All plans are automatically saved as markdown files in the docs/plans/ directory using a standardized date-and-feature naming convention.

What makes these plans different from a regular task list?

These plans include exact file paths, complete code snippets, and specific terminal commands, allowing an engineer with zero context to implement features perfectly.

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

Yes, it is a core requirement. Every task is structured to write a failing test, verify the failure, implement minimal code, and then verify the pass.

How do I execute the plan once it is written?

Upon completion, the skill offers two options: Subagent-Driven development for immediate iteration or Parallel Session execution for batch processing.

Implementation Planner

Name: Implementation Planner
Author: m16khb

bym16khb

Productivity & Workflow

Generates granular, test-driven implementation plans that enable developers or AI subagents to execute complex features with zero codebase context.

About

The Implementation Planner skill transforms high-level designs into actionable, bite-sized technical roadmaps. By assuming the developer has zero prior domain knowledge, it generates rigorous documentation including exact file paths, complete code snippets, and specific verification steps for every task. It strictly enforces TDD (Test-Driven Development), DRY, and YAGNI principles, ensuring that the resulting code is clean, modular, and fully tested. The skill facilitates a seamless handoff between architectural planning and code execution by providing clear options for subagent-driven or parallel session development.

Key Features

Strict adherence to DRY, YAGNI, and frequent commit best practices
Precise file path and line-level code mapping for minimal-context execution
Integrated execution handoffs for subagent or parallel session workflows
0 GitHub stars
Step-by-step TDD workflow generation (Fail-Implement-Pass-Commit)
Standardized markdown documentation stored within your repository for versioning

Use Cases

Structuring complex architectural changes into low-risk, manageable tasks for AI agents
Enforcing rigorous technical standards and test coverage before starting production code
Onboarding new developers to complex features without requiring synchronous context sharing

About

Key Features

Strict adherence to DRY, YAGNI, and frequent commit best practices
Precise file path and line-level code mapping for minimal-context execution
Integrated execution handoffs for subagent or parallel session workflows
0 GitHub stars
Step-by-step TDD workflow generation (Fail-Implement-Pass-Commit)
Standardized markdown documentation stored within your repository for versioning

Use Cases

Structuring complex architectural changes into low-risk, manageable tasks for AI agents
Enforcing rigorous technical standards and test coverage before starting production code
Onboarding new developers to complex features without requiring synchronous context sharing