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Changelog

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elie222
changelog

Add a new changelog entry to docs/changelog-entries/

Overview

Publisherelie222
Repositoryinbox-zero
Skill namechangelog
Stars
12.5K
Forks
1.6K
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 elie222 on GitHub. Read the source before you install it.

Installation

Install the 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.
    https://github.com/elie222/inbox-zero/tree/main/.claude/skills/changelog
  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/elie222/inbox-zero.git /tmp/inbox-zero
mkdir -p .claude/skills
cp -r /tmp/inbox-zero/.claude/skills/changelog .claude/skills/changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Changelog

Add changelog entries as individual files in docs/changelog-entries/, then regenerate docs/changelog.mdx before opening or updating the PR.

Use a single long-lived branch for changelog automation: automation/changelog. The automation should update the existing open changelog PR from that branch when possible instead of opening multiple concurrent changelog PRs.

Principles

  1. User-facing only. No infrastructure, CI, security hardening, billing internals, queue fixes, cron changes, self-hosting features, or anything users don't directly see or interact with.
  2. Lead with a headline. Each entry has a theme name in the description field (e.g., "Chat Everywhere", not "v2.28"). The theme should immediately tell users what changed.
  3. One short paragraph explaining the headline feature — what it does and why it matters. Write for end users, not developers.
  4. 3–5 bullets max for other notable improvements in that release. If you can't fill 3 bullets, roll the changes into the next entry that has a strong headline.
  5. Skip releases without a standout feature. Not every deploy needs a changelog entry. Only write one when there's something worth headlining.
  6. Casual, clear tone. Use "you" and "your", not "users". No jargon. No version numbers as headlines.

Format

Create or update docs/changelog-entries/YYYY-MM-DD.mdx with frontmatter + markdown:

mdx
---
description: "Headline Theme"
---

One or two sentences about the main feature.

- Bullet one
- Bullet two
- Bullet three

The date is derived from the filename automatically.

Do not hand-edit docs/changelog.mdx. Regenerate it with node docs/scripts/build-changelog.mjs.

What to include

  • New features users can try
  • Meaningful UX improvements they'll notice
  • New platform/integration support

What to skip

  • Bug fixes (unless they were widely reported)
  • Security hardening (unless there was a public incident)
  • Infrastructure, performance, CI/CD changes
  • Billing or pricing internals
  • Self-hosting or developer-only changes
  • Internal refactors, lint fixes, dependency updates

Process

  1. Review recent merged PRs: gh pr list --repo elie222/inbox-zero --state merged --limit 30 --json number,title,mergedAt
  2. Filter to user-facing changes only
  3. Group into a theme — find the headline
  4. Check for an existing open changelog PR from automation/changelog to main: gh pr list --repo elie222/inbox-zero --head automation/changelog --base main --state open --json number,title,url
  5. Create or update today's file docs/changelog-entries/YYYY-MM-DD.mdx with frontmatter (description) and markdown content
  6. If today's file already exists, merge the new updates into that file instead of creating a second entry for the same day
  7. Regenerate docs/changelog.mdx: node docs/scripts/build-changelog.mjs
  8. Commit both docs/changelog-entries/YYYY-MM-DD.mdx and docs/changelog.mdx
  9. If the open PR from automation/changelog exists, update that branch and PR; otherwise create it from automation/changelog

Branch workflow

Before making changes, reset the automation branch to the latest main so each run starts from a clean base:

bash
git fetch origin
git checkout -B automation/changelog origin/main

After updating the changelog files, push that branch and create or update the PR from automation/changelog to main.

Frequently asked questions

What does the Changelog AI skill do?

Add a new changelog entry to docs/changelog-entries/

Why use Changelog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elie222/inbox-zero/tree/main/.claude/skills/changelog. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Changelog?

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

Is the Changelog AI skill free?

It is published on GitHub by elie222. 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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