Changelog Generator logo

Changelog Generator

OrganizationPopular
ComposioHQ
changelog-generator

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

Overview

PublisherComposioHQ
Repositoryawesome-claude-skills
Skill namechangelog-generator
Stars
75.2K
Forks
8.7K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ComposioHQ on GitHub. Read the source before you install it.

Installation

Install the Changelog Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ComposioHQ/awesome-claude-skills.git /tmp/awesome-claude-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-skills/changelog-generator .claude/skills/changelog-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Changelog Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Changelog Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Changelog Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Changelog Generator

This skill transforms technical git commits into polished, user-friendly changelogs that your customers and users will actually understand and appreciate.

When to Use This Skill

  • Preparing release notes for a new version
  • Creating weekly or monthly product update summaries
  • Documenting changes for customers
  • Writing changelog entries for app store submissions
  • Generating update notifications
  • Creating internal release documentation
  • Maintaining a public changelog/product updates page

What This Skill Does

  1. Scans Git History: Analyzes commits from a specific time period or between versions
  2. Categorizes Changes: Groups commits into logical categories (features, improvements, bug fixes, breaking changes, security)
  3. Translates Technical → User-Friendly: Converts developer commits into customer language
  4. Formats Professionally: Creates clean, structured changelog entries
  5. Filters Noise: Excludes internal commits (refactoring, tests, etc.)
  6. Follows Best Practices: Applies changelog guidelines and your brand voice

How to Use

Basic Usage

From your project repository:

Create a changelog from commits since last release
Generate changelog for all commits from the past week
Create release notes for version 2.5.0

With Specific Date Range

Create a changelog for all commits between March 1 and March 15

With Custom Guidelines

Create a changelog for commits since v2.4.0, using my changelog 
guidelines from CHANGELOG_STYLE.md

Example

User: "Create a changelog for commits from the past 7 days"

Output:

markdown
# Updates - Week of March 10, 2024

## ✨ New Features

- **Team Workspaces**: Create separate workspaces for different 
  projects. Invite team members and keep everything organized.

- **Keyboard Shortcuts**: Press ? to see all available shortcuts. 
  Navigate faster without touching your mouse.

## 🔧 Improvements

- **Faster Sync**: Files now sync 2x faster across devices
- **Better Search**: Search now includes file contents, not just titles

## 🐛 Fixes

- Fixed issue where large images wouldn't upload
- Resolved timezone confusion in scheduled posts
- Corrected notification badge count

Inspired by: Manik Aggarwal's use case from Lenny's Newsletter

Tips

  • Run from your git repository root
  • Specify date ranges for focused changelogs
  • Use your CHANGELOG_STYLE.md for consistent formatting
  • Review and adjust the generated changelog before publishing
  • Save output directly to CHANGELOG.md

Related Use Cases

  • Creating GitHub release notes
  • Writing app store update descriptions
  • Generating email updates for users
  • Creating social media announcement posts

Frequently asked questions

What does the Changelog Generator AI skill do?

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

Why use Changelog Generator on TypingMind?

Because you install it once and use it with any model. Changelog Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Changelog Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ComposioHQ/awesome-claude-skills/tree/master/changelog-generator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Changelog Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Changelog Generator?

As many as you like. As long as a model supports skills, you can use Changelog Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Changelog Generator AI skill free?

It is published on GitHub by ComposioHQ. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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