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Make Changelog

Community
gupsammy
make-changelog

This skill should be used when the user asks to "create a changelog", "generate a changelog", "update my changelog", "fill in the changelog", "add a changelog", "CHANGELOG is missing entries", "changelog is out of date", "what's missing from my changelog", "changelog from git history", "write changelog", "release notes", or says "my project needs a CHANGELOG".

Overview

Publishergupsammy
RepositoryClaudest
Skill namemake-changelog
Stars
275
Forks
16
Bundled files
1
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 gupsammy on GitHub. Read the source before you install it.

Installation

Install the Make 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/gupsammy/Claudest/tree/main/plugins/claude-coding/skills/make-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/gupsammy/Claudest.git /tmp/Claudest
mkdir -p .claude/skills
cp -r /tmp/Claudest/plugins/claude-coding/skills/make-changelog .claude/skills/make-changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make 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 Make 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 Make 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 Generator

Create or update CHANGELOG.md from git history using Keep-a-Changelog format. Launch one haiku subagent per version range for parallel, token-efficient processing.

Step 1 — Assess Project State

Run the range-planning script to validate the repo and gather all version ranges:

bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/make-changelog/scripts/list_ranges.py --output json
  • Exit 2 = not a git repository, or repository has no commits. Stop and report the error message from stderr to the user.
  • Exit 0 = proceed. JSON output contains all ranges the skill would cover.

Also check for an existing changelog:

bash
ls CHANGELOG.md CHANGELOG 2>/dev/null

If CHANGELOG.md exists, read it to identify the last documented version (the most recent ## [x.y.z] heading).

Step 2 — Determine Scope

No tags exist: Script returns a single Unreleased range. Proceed in fresh mode.

Tags exist, no CHANGELOG.md: Fresh mode — process all ranges the script returned.

Tags exist, CHANGELOG.md exists: Fill mode — re-run the script with --since-tag to get only the uncovered ranges:

bash
python3 ${CLAUDE_PLUGIN_ROOT}/skills/make-changelog/scripts/list_ranges.py \
  --since-tag <last_documented_tag> --output json

If the intent is ambiguous (user said "update changelog" but the file has extensive existing content), ask the user to choose:

  • "Fill missing only" — add new versions/unreleased since last entry
  • "Rebuild from scratch" — regenerate the full file from git history
  • "Unreleased only" — refresh only the [Unreleased] section

Step 3 — Plan Subagents

Inspect the JSON output from Step 1 or 2. Each range object has:

  • label — version string (1.2.0 or Unreleased)
  • from_ref — lower git ref (empty string = from initial commit)
  • to_ref — upper git ref
  • date — tag date or today
  • commit_count — number of commits in range

Skip ranges where commit_count == 0 — no subagent needed.

Cap at 12 subagents. If the non-empty range list exceeds 12, ask the user whether to limit to the most recent 12 or process all (noting it will take longer).

Step 4 — Launch Haiku Subagents

Spawn one Task per non-empty range in a single message (parallel). Use model: "haiku" for all subagents. Each subagent receives this self-contained prompt (substitute values from the range object):

You are generating one section of a CHANGELOG.md.

Version: [label]
Date: [date]
Git command: git log [from_ref]..[to_ref] --format="%s"
(If from_ref is empty, use: git log [to_ref] --format="%s")

Categorize by user-observable impact, not by commit prefix. The conventional
commit prefix (feat:, fix:, etc.) is a hint only — a commit labelled "feat:"
that clearly corrects a bug belongs in Fixed, not Added. Use the prefix as a
starting signal and override it when the commit subject contradicts it.

Sections and classification signals:
- Added: new capabilities users can invoke (add, introduce, implement, support)
- Changed: modified behavior of existing features (update, change, refactor, improve)
- Deprecated: features explicitly flagged for future removal
- Removed: capabilities or endpoints deleted (remove, drop, delete)
- Fixed: bugs corrected, regardless of prefix (fix, resolve, patch, correct, hotfix)
- Security: vulnerability patches (security, CVE, sanitize, escape)

Skip: merge commits, CI/CD configuration changes, version-bump commits,
formatting-only changes.

Use present tense, imperative mood: "Add X", not "Added X" or "adds X".
Omit empty sections. Omit internal variable names and implementation details.

Output ONLY the markdown block, no preamble:

## [VERSION] - DATE

### Added
- ...

### Fixed
- ...

Collect all Task results before Step 5.

Step 5 — Assemble Changelog

Order version blocks newest-first. Full document structure:

markdown
# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]

[content from unreleased subagent, or omit section if empty]

## [1.2.0] - 2024-03-15

[content from subagent]

Fill mode: Insert new version sections immediately after the # Changelog header block, before the first existing ## [ entry. Preserve all existing content exactly.

Fresh/rebuild mode: Write the complete file.

Step 6 — Write and Report

Fresh mode: Write CHANGELOG.md. Confirm overwrite with AskUserQuestion if the file already exists.

Fill mode: Use Edit to insert new sections at the correct position.

After writing, report:

  • Mode used (fresh / fill / unreleased-only)
  • Versions covered (label, date, commit count — from script output)
  • Number of subagents used
  • Any ranges that were empty (skipped)
  • Any commits that could not be confidently categorized (flag for user review)

Scripts

scripts/list_ranges.py — queries git tags and computes version ranges. Invoked in Steps 1 and 2. Exit 2 = repo invalid or empty; exit 0 = success.

bash
# All ranges (text preview)
python3 ${CLAUDE_PLUGIN_ROOT}/skills/make-changelog/scripts/list_ranges.py

# All ranges (JSON for skill use)
python3 ${CLAUDE_PLUGIN_ROOT}/skills/make-changelog/scripts/list_ranges.py --output json

# Fill mode: only ranges newer than a specific tag
python3 ${CLAUDE_PLUGIN_ROOT}/skills/make-changelog/scripts/list_ranges.py \
  --since-tag v1.2.0 --output json

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 Make Changelog AI skill do?

This skill should be used when the user asks to "create a changelog", "generate a changelog", "update my changelog", "fill in the changelog", "add a changelog", "CHANGELOG is missing entries", "changelog is out of date", "what's missing from my changelog", "changelog from git history", "write changelog", "release notes", or says "my project needs a CHANGELOG".

Why use Make Changelog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gupsammy/Claudest/tree/main/plugins/claude-coding/skills/make-changelog. 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 Make 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 Make Changelog?

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

Is the Make Changelog AI skill free?

It is published on GitHub by gupsammy. 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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