Changelog Generator logo

Changelog Generator

Organization
ECNU-ICALK
changelog-generator

Generates user-facing changelogs and release notes from git commit history. Parses conventional commits, categorizes changes into features, fixes, breaking changes, and more, then rewrites technical messages into customer-friendly language. Use when the user asks to generate a changelog, write release notes, summarize recent commits, prepare CHANGELOG.md, or document what changed between versions.

Overview

PublisherECNU-ICALK
RepositoryAutoSkill
Skill namechangelog-generator
Stars
587
Forks
56
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 ECNU-ICALK 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/ECNU-ICALK/AutoSkill.git /tmp/AutoSkill
mkdir -p .claude/skills
cp -r /tmp/AutoSkill/SkillBank/Common/AwesomeClaudeSkills/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

Generate structured, user-facing changelogs from git commit history.

Workflow

Step 1 — Gather commits

Determine the commit range from the user's request, then fetch commits:

bash
# Between tags/versions
git log v1.2.0..v1.3.0 --oneline --no-merges
# Since a date
git log --since="2024-03-01" --oneline --no-merges
# Since last tag (default when no range given)
git log "$(git describe --tags --abbrev=0)"..HEAD --oneline --no-merges

If there are no tags and no range specified, ask the user for a date or count.

Step 2 — Categorize each commit

Apply these rules based on the commit message prefix:

Prefix / patternCategory
feat: feature:New Features
fix: bugfix:Bug Fixes
perf:Performance
BREAKING CHANGE or !: suffixBreaking Changes
security: vuln:Security
docs: test: ci: chore: refactor: style: build:Skip (internal)

For non-conventional messages, infer category from content. Exclude purely internal commits (test infra, CI config, linting, dependency bumps with no user impact).

Step 3 — Rewrite for a non-technical audience

Transform each kept commit into a clear, benefit-focused sentence:

  • Strip scope tags like (api): or (auth):
  • Expand abbreviations and jargon
  • Lead with the user-visible outcome, not the implementation
  • Use present tense: "Add", "Fix", "Improve"
  • One sentence per entry

Example: fix(auth): race condition in token refresh becomes "Fix an issue where sessions could expire unexpectedly during use."

Step 4 — Format the output

markdown
# Changelog — vX.Y.Z (YYYY-MM-DD)

## Breaking Changes
- [entry]

## New Features
- [entry]

## Improvements
- [entry]

## Bug Fixes
- [entry]

## Security
- [entry]

Omit any empty section. Order: breaking changes, features, improvements, fixes, security. If the repo already has a CHANGELOG.md or CHANGELOG_STYLE.md, match its existing conventions instead.

Step 5 — Validate before presenting

  1. Confirm no internal-only commits leaked through
  2. Confirm every entry is understandable without reading source code
  3. Confirm date and version label are correct
  4. Write to CHANGELOG.md (prepend above existing content) or print inline, based on the user's request

Frequently asked questions

What does the Changelog Generator AI skill do?

Generates user-facing changelogs and release notes from git commit history. Parses conventional commits, categorizes changes into features, fixes, breaking changes, and more, then rewrites technical messages into customer-friendly language. Use when the user asks to generate a changelog, write release notes, summarize recent commits, prepare CHANGELOG.md, or document what changed between versions.

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/ECNU-ICALK/AutoSkill/tree/main/SkillBank/Common/AwesomeClaudeSkills/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 ECNU-ICALK. 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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