Does this skill automatically write code?

No, it focuses on the architectural and planning phase. It generates a roadmap and a series of todos that guide the subsequent implementation phase.

When should I use the Planning Playbook instead of direct coding?

It is highly recommended for complex tasks that touch more than three files or five functions, or whenever architectural clarity and safety gates are required.

What is the Planning Playbook methodology?

It is a structured development approach that prioritizes safety, clarity, and minimalism by breaking tasks into small, independently testable chunks called Mini-PRs.

How does this skill handle complex dependencies?

The skill identifies 'True' versus 'False' dependencies, allowing it to order chunks sequentially or identify opportunities for parallel development work.

Where are the implementation plans stored?

Once a plan is approved, it is persisted as a Markdown file in the ai-plans/ directory of your repository for permanent documentation and tracking.

Planning Playbook

Name: Planning Playbook
Author: doodledood

bydoodledood

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Productivity & Workflow

Generates structured implementation roadmaps using the Planning Playbook methodology to ensure safe and minimal code changes.

About

The Planning Playbook skill equips Claude with a rigorous architectural planning framework designed to reduce cognitive load and ensure high-quality code delivery. It systematically breaks down complex development tasks into 'Mini-PR' chunks—small, independently testable increments that are easy to review and merge. By enforcing safety gates, explicit dependency mapping, and persistent documentation in the ai-plans/ directory, this skill ensures that every implementation follows a logical, approved, and observable path before a single line of production code is written.

Key Features

Persistent architectural records stored automatically in the ai-plans/ directory.
Standardized implementation planning using the proven Planning Playbook methodology.
Automated 'Mini-PR' chunking to ensure small, mergeable, and testable code increments.
Integrated safety gates and quality checklists for every planned code change.
Dependency and parallelization mapping to optimize development workflows.
4 GitHub stars

Use Cases

Breaking down monolithic tasks into manageable, parallelizable workstreams for faster delivery.
Architecting complex, multi-file features that require a clear roadmap before execution.
Creating verifiable implementation plans for high-stakes projects requiring rigorous safety gates.

About

Key Features

Persistent architectural records stored automatically in the ai-plans/ directory.
Standardized implementation planning using the proven Planning Playbook methodology.
Automated 'Mini-PR' chunking to ensure small, mergeable, and testable code increments.
Integrated safety gates and quality checklists for every planned code change.
Dependency and parallelization mapping to optimize development workflows.
4 GitHub stars

Use Cases

Breaking down monolithic tasks into manageable, parallelizable workstreams for faster delivery.
Architecting complex, multi-file features that require a clear roadmap before execution.
Creating verifiable implementation plans for high-stakes projects requiring rigorous safety gates.