Skill

Automate Changelog Generation and Versioning

A skill for automating changelog generation, release notes, and semantic versioning via conventional commits.


75
Spark score
out of 100
Updated last month
Version 13.1.0

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Why it matters

Automate the creation of changelogs, release notes, and version management for your projects. This skill helps standardize commit messages and ensures industry-standard release practices.

Outcomes

What it gets done

01

Set up automated changelog generation

02

Implement conventional commits

03

Create release note workflows

04

Manage semantic versioning

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-changelog-automation | bash

Overview

Changelog Automation

A skill for automating changelog generation, release notes, and semantic versioning via enforced conventional commits. Use it when setting up automated changelog/release-note generation with a real commit history, not for a one-time manual release note.

What it does

This is a skill for automating changelog generation, release notes, and version management following industry standards - conventional commits, standardized commit message formats, and semantic versioning. Its workflow: select a changelog format and versioning strategy, enforce commit conventions or labeling rules, configure tooling to generate and publish notes, and review the output for accuracy, completeness, and wording. Detailed patterns, templates, and examples live in a companion resources/implementation-playbook.md file.

When to use - and when NOT to

Use this skill when setting up automated changelog generation, implementing conventional commits, creating release-note workflows, standardizing commit message formats, or managing semantic versioning. Don't use it if the project has no release process or versioning, if you only need a one-time manual release note, or if the commit history is unavailable or unreliable. It carries an explicit safety constraint: avoid exposing secrets or internal-only details in release notes.

Inputs and outputs

Input is a project's commit history and versioning strategy; output is an automated changelog and release-note pipeline - enforced commit conventions, generated and published notes, and semantic version bumps - with detailed patterns available in the companion playbook file.

Who it's for

Engineering teams setting up or standardizing automated changelog and release-note generation who want conventional commits and semantic versioning enforced consistently, rather than writing release notes manually each time.

FAQ

Common questions

Discussion

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