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Update Changelog

CommunityPopular
mitsuhiko
update-changelog

Read this skill before updating changelogs

Overview

Publishermitsuhiko
Repositoryagent-stuff
Skill nameupdate-changelog
Stars
3.1K
Forks
224
Bundled files
Instructions only
LicenseApache-2.0
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 mitsuhiko on GitHub. Read the source before you install it.

Installation

Install the Update Changelog 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/mitsuhiko/agent-stuff.git /tmp/agent-stuff
mkdir -p .claude/skills
cp -r /tmp/agent-stuff/skills/update-changelog .claude/skills/update-changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Update Changelog 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 Update Changelog 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 Update Changelog 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.

Update the repository changelog with changes between the last release and the current version (main) that are not yet incorporated. If CHANGELOG.md does not exist, use CHANGELOG instead.

Step-by-Step Process

1. Determine baseline version

If no baseline version is provided, use the most recent git tag. You can find it with git describe --tags --abbrev=0.

2. Find the commits from git

Use the following commands to gather commit information:

bash
# Get the baseline version (if not provided)
git describe --tags --abbrev=0

# Get all commits since the baseline version
git log <baseline-version>..HEAD

3. Update the changelog

Read the existing changelog file (CHANGELOG.md, or CHANGELOG if missing) and check if there are changes not yet incorporated, then add them. Always add them to the "Unreleased" section only. If there is none yet, add it at the top in the same style as the existing changelog (for example, ## Unreleased vs ## [Unreleased]).

Ground Rules When Writing Changelogs

Content Guidelines

  • Focus on notable changes that affect users (features, fixes, breaking changes)
  • Mention pull requests (#NUMBER) when available, but not raw commit hashes
  • Ignore insignificant changes (typo fixes, internal refactoring, minor documentation updates)
  • Group related changes together when appropriate
  • Order entries by importance: breaking changes first, then features, then fixes

Style Guidelines

  • Use valid markdown syntax
  • Start each entry with a past-tense verb or descriptive phrase
  • Keep entries concise but descriptive enough to understand the change
  • Use bullet points (* or -) for individual changes
  • Format code references with backticks (e.g., `foo.cleanup`)

Example Format

markdown
## 2.13.0

* Added multi-key support to the `|sort` filter.  #827
* Fix `not undefined` with strict undefined behavior.  #838
* Added support for free threading Python.  #841

## 2.12.0

* Item or attribute lookup will no longer swallow all errors in Python.  #814
* Added `|zip` filter.  #818
* Fix `break_on_hyphens` for the `|wordwrap` filter.  #823
* Prefer error message from `unknown_method_callback`.  #824
* Ignore `.jinja` and `.jinja2` as extensions in auto escape.  #832

Good vs. Bad Examples

Good:

  • Fixed an issue with the TypeScript SDK which caused an incorrect config for CJS.
  • Added support for claim timeout extension on checkpoint writes.
  • Improved error reporting when task claim expires.

Bad:

  • Fixed bug (too vague)
  • Updated dependencies (insignificant unless it fixes a security issue)
  • Refactored internal code structure (internal change, not user-facing)
  • Fixed typo in comment (insignificant)

Notes

  • If the current changelog already has an "Unreleased" section with content, append to it rather than replacing it
  • Preserve the existing changelog style and formatting (headings, bullet style, ordering, and spacing)
  • If the repo uses a different default branch name, treat that as the "current version" instead of main
  • When in doubt about whether a change is significant, err on the side of including it

Frequently asked questions

What does the Update Changelog AI skill do?

Read this skill before updating changelogs

Why use Update Changelog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mitsuhiko/agent-stuff/tree/main/skills/update-changelog. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Update Changelog?

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 Update Changelog?

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

Is the Update Changelog AI skill free?

Yes. It is published on GitHub by mitsuhiko under the Apache-2.0 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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