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Changelog From Commits

Community
Rtur2003
changelog-from-commits

Use when cutting a release, writing a CHANGELOG entry, or summarizing what changed since a tag — when the repo's commits follow (or mostly follow) Conventional Commits and a mechanically-accurate section breakdown beats a model's reading of the diff.

Overview

PublisherRtur2003
RepositoryClaude-Code-Promts-Skills
Skill namechangelog-from-commits
Stars
56
Forks
16
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Rtur2003 on GitHub. Read the source before you install it.

Installation

Install the Changelog From Commits 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.
    https://github.com/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/changelog-from-commits
  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/Rtur2003/Claude-Code-Promts-Skills.git /tmp/Claude-Code-Promts-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Promts-Skills/.agents/skills/changelog-from-commits .claude/skills/changelog-from-commits
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Changelog From Commits 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 From Commits 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 From Commits 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 From Commits

Overview

Parses git log against the Conventional Commits spec and prints a categorized changelog: Features, Fixes, Performance, Refactoring, Docs, Tests, Build, CI, Chore, Other, plus a BREAKING CHANGES section pulled from ! markers and BREAKING CHANGE: footers. Deterministic — the categorization is a fact about the commit message, not a judgment call, so a script produces it more reliably than a model re-reading commit subjects.

Core principle: A changelog section is either correct (matches the commit's own declared type) or it silently drops/miscategorizes a change. Parsing is not the place for approximation.

Usage

bash
bash ${CLAUDE_SKILL_DIR}/scripts/generate.sh [from-ref] [to-ref]
  • from-ref defaults to the most recent tag, or the repo's root commit if there are no tags.
  • to-ref defaults to HEAD.
  • Requires a git repository; exits 2 if run outside one.
  • Prints Markdown to stdout — pipe into a file, or paste directly into CHANGELOG.md.
bash
bash ${CLAUDE_SKILL_DIR}/scripts/generate.sh v1.2.0 HEAD > /tmp/new-entries.md
bash ${CLAUDE_SKILL_DIR}/scripts/generate.sh                    # since the last tag, to HEAD

What it gets right and what it doesn't

Reliable: type(scope)!: subject parsing, breaking-change detection (! or a BREAKING CHANGE: footer), section grouping, short-hash linking, merge commits excluded automatically.

Falls back to "Other": any commit whose subject doesn't start with a known Conventional Commits type (feat/fix/perf/refactor/docs/test/build/ci/chore) — including free-text subjects like "Initial plan" or "Add X". A repo that doesn't consistently use Conventional Commits will produce a large "Other" section; that's an honest signal about the commit history, not a script bug. See it happen: run this against this library's own pre-2.0 history and most entries land in Other because they predate the Conventional Commits convention adopted later.

Not attempted: rewriting or improving commit subjects, deduplicating near-identical entries, or inferring a type the author didn't declare.

After generating

The script produces raw categorized entries — it does not write prose framing, a version header, or a date. Add those yourself (or ask the active agent to), and edit any "Other" entries that deserve reclassification before they ship in a release. Don't paste the raw output into CHANGELOG.md as the final section without a pass over "Other" and "BREAKING CHANGES" — those two sections are exactly where a human or model read adds real value on top of the deterministic parse.

Remember

Categorization is deterministic; the narrative framing around it (a version header, a "why" sentence, what to call out) is not. Do the first with the script, the second with judgment.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Changelog From Commits AI skill do?

Use when cutting a release, writing a CHANGELOG entry, or summarizing what changed since a tag — when the repo's commits follow (or mostly follow) Conventional Commits and a mechanically-accurate section breakdown beats a model's reading of the diff.

Why use Changelog From Commits on TypingMind?

Because you install it once and use it with any model. Changelog From Commits 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 From Commits in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rtur2003/Claude-Code-Promts-Skills/tree/main/.agents/skills/changelog-from-commits. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Changelog From Commits?

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 From Commits?

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

Is the Changelog From Commits AI skill free?

Yes. It is published on GitHub by Rtur2003 under the MIT license. 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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