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

Yes, it explicitly structures every task to include writing a failing test, verifying the failure, writing minimal code, and then verifying the pass.

How does it improve AI subagent performance?

By providing precise file paths and expected outputs, it reduces the risk of AI hallucinations and ensures the subagent follows the project's specific architectural standards.

What is the primary purpose of the Implementation Planner skill?

It translates high-level designs into detailed, executable task lists that include exact code, file paths, and testing steps, assuming the implementer has no prior context of the codebase.

Where are the implementation plans stored?

Plans are saved as Markdown files within the docs/plans/ directory of your project, organized by date and feature name for easy reference.

Implementation Planner

Name: Implementation Planner
Author: lifangda

bylifangda

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Productivity & Workflow

Generates granular, test-driven implementation plans with exact file paths and code snippets for engineers with zero codebase context.

About

The Implementation Planner skill streamlines the transition from high-level design to actual development by creating exhaustive, step-by-step implementation plans. It enforces rigorous software engineering principles such as Test-Driven Development (TDD), DRY, and YAGNI, ensuring that every task is broken down into manageable 2-5 minute segments. By providing exact file paths, complete code examples, and specific verification commands, it allows developers or AI subagents to implement complex features with minimal domain knowledge and high precision.

Key Features

Provision of exact file paths and complete, copy-pasteable code blocks
Automated documentation generation in docs/plans/ directory
Integrated handoff options for subagent or parallel session execution
16 GitHub stars
Bite-sized task breakdown (2-5 minutes per step)
Mandatory TDD workflow with explicit failing and passing test cycles

Use Cases

Onboarding developers to a new feature with standardized implementation patterns
Preparing structured, low-context task lists for AI subagents to execute autonomously
Ensuring high test coverage through a strictly enforced TDD planning process

About

Key Features

Provision of exact file paths and complete, copy-pasteable code blocks
Automated documentation generation in docs/plans/ directory
Integrated handoff options for subagent or parallel session execution
16 GitHub stars
Bite-sized task breakdown (2-5 minutes per step)
Mandatory TDD workflow with explicit failing and passing test cycles

Use Cases

Onboarding developers to a new feature with standardized implementation patterns
Preparing structured, low-context task lists for AI subagents to execute autonomously
Ensuring high test coverage through a strictly enforced TDD planning process