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Openmeld Changelog

OrganizationPopular
amplifthq
openmeld-changelog

Maintain the official OpenMeld Changelog from repository evidence. Use when deciding whether a change needs a Changelog entry, writing or publishing an entry, preparing release notes, validating generated Changelog files, or historically backfilling missing changes.

Overview

Publisheramplifthq
Repositoryopenmeld
Skill nameopenmeld-changelog
Stars
1.4K
Forks
81
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 amplifthq on GitHub. Read the source before you install it.

Installation

Install the Openmeld 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/amplifthq/openmeld/tree/main/.agents/skills/openmeld-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/amplifthq/openmeld.git /tmp/openmeld
mkdir -p .claude/skills
cp -r /tmp/openmeld/.agents/skills/openmeld-changelog .claude/skills/openmeld-changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openmeld 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 Openmeld 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 Openmeld 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.

OpenMeld Changelog

Keep changelog/entries/*.md as the human- and agent-authored source of truth. Treat CHANGELOG.md, changelog/index.json, and changelog/releases/*.md as generated projections. Read developing/engineering/changelog.md before editing either source or projections.

Choose the job

  • Record a change: inspect the implementation and add one concise draft entry when users or contributors gain, lose, or materially experience a capability.
  • Publish a change: add publishedAt, optional release, and concrete evidence only after the delivery claim is proven.
  • Backfill history: reconstruct an omitted entry from tags, commits, pull requests, tests, deployment records, or other durable evidence. Use the original availability date, not today's date.
  • Prepare release notes: publish the applicable entries, rebuild the projections, and hand the generated release file to the authorized release workflow. A notes file is not release authorization.

Gather evidence

Use the coding agent's native file, Git, GitHub, test, and search tools. No custom Changelog command is required for investigation or writing.

Establish these facts separately:

  1. what behavior changed;
  2. who can notice or use it;
  3. which code, pull request, or commit contains it;
  4. whether it was merged;
  5. whether the relevant component was delivered; and
  6. whether any required real-user smoke produced the visible outcome.

Merge, tag, deployment, and smoke are different claims. Keep an entry draft when the evidence proves only an earlier claim.

Decide whether to record it

Record changes that affect users, operators, integrators, or contributors:

  • new or removed capabilities;
  • material workflow or behavior improvements;
  • user-visible fixes and security changes;
  • breaking behavior and deprecations; or
  • developer-facing changes that alter supported integration or contribution work.

Skip internal refactors, test-only changes, routine dependency maintenance, and documentation cleanup when they do not change an external workflow. Combine several implementation commits into one user-meaningful entry when they deliver one outcome.

Write the entry

Use a unique lowercase slug for both the filename and id. Write native-level English for OpenMeld's North American audience. Lead with what is now possible or what changed, not implementation details.

markdown
---
id: slack-channel-invitations
title: Invite teammates from Slack
kind: new
areas: ["channels", "center-agent"]
audiences: ["admins"]
---

Organization admins can invite a teammate while working with the Center Agent
in Slack, without switching to a separate setup flow.

That entry is a draft. Publish it only after delivery is proven:

yaml
publishedAt: 2026-08-17
release: v0.3.60
evidence: ["pr:72", "commit:1d5254d", "workflow:123456789"]

release is optional for continuously delivered changes. Every published entry requires durable evidence. Keep uncertain historical work as a draft rather than inventing a date, scope, or release.

Rebuild and verify

Run:

sh
pnpm changelog:build
pnpm changelog:check

Review the resulting diff. A complete change has valid source entries, up-to-date deterministic projections, and no unsupported publication claim.

For a historical backfill, also confirm that adding the older entry placed it by publishedAt rather than by the date of the backfill commit.

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 Openmeld Changelog AI skill do?

Maintain the official OpenMeld Changelog from repository evidence. Use when deciding whether a change needs a Changelog entry, writing or publishing an entry, preparing release notes, validating generated Changelog files, or historically backfilling missing changes.

Why use Openmeld Changelog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/amplifthq/openmeld/tree/main/.agents/skills/openmeld-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 Openmeld 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 Openmeld Changelog?

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

Is the Openmeld Changelog AI skill free?

Yes. It is published on GitHub by amplifthq 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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