How does this skill help with code reviews?

It provides strict guidelines on commit size (ideally 50-200 lines) and logical grouping, ensuring reviewers can understand each change in 5-15 minutes without high cognitive load.

Should I commit backend and frontend changes together?

Generally, no. This skill recommends keeping them separate because they involve different concerns, risks, and often require different expertise during the review process.

What is an atomic commit?

An atomic commit is a single logical change that is reviewable, buildable, and testable. It should be able to be reverted without breaking unrelated features or leaving the project in an unstable state.

When is it appropriate to group multiple tasks into one commit?

You should group tasks when they are in the same functional area, logically coupled (like a model and its validation), and the combined size remains under the 500-line red flag limit.

Atomic Commits

Name: Atomic Commits
Author: Zate

byZate

Despliegue y DevOps

Optimizes your Git history by guiding the creation of reviewable, self-contained commits that capture logical units of work.

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The Atomic Commits skill empowers developers to maintain a clean and manageable project history by providing intelligent guidance on commit structure and scope. It helps users decide when to group related tasks, when to split changes across multiple commits, and how to maintain 'reviewability'—ensuring every change is atomic, buildable, and easy to revert. By integrating task references and phase boundaries, it streamlines the transition from local development to code review, significantly reducing cognitive load for both the author and the reviewer.

Características Principales

Phase boundary enforcement to ensure clean transitions between project milestones
Automated size guidelines to maintain reviewable diffs (ideally 50-200 lines)
0 GitHub stars
Intelligent commit decision matrix for grouping or separating changes based on logic
Parallel task handling to coordinate commits across simultaneous workstreams
Task-aware commit message formatting with automated references to development plans

Casos de Uso

Splitting large refactors from new features to isolate risk and simplify potential reverts
Ensuring feature implementations and their corresponding tests are grouped for context
Structuring complex parallel development within a devloop workflow into logical history

Acerca de

Características Principales

Phase boundary enforcement to ensure clean transitions between project milestones
Automated size guidelines to maintain reviewable diffs (ideally 50-200 lines)
0 GitHub stars
Intelligent commit decision matrix for grouping or separating changes based on logic
Parallel task handling to coordinate commits across simultaneous workstreams
Task-aware commit message formatting with automated references to development plans

Casos de Uso

Splitting large refactors from new features to isolate risk and simplify potential reverts
Ensuring feature implementations and their corresponding tests are grouped for context
Structuring complex parallel development within a devloop workflow into logical history