Deliver Release Notes

Organization

product-on-purpose

deliver-release-notes

Creates user-facing release notes that communicate new features, improvements, and fixes in clear, benefit-focused language. Use when shipping updates to communicate changes to users, customers, or stakeholders.

Overview

Publisher	product-on-purpose
Repository	`pm-skills`
Skill name	`deliver-release-notes`
Stars	717
Forks	92
Bundled files	6
License	Apache-2.0
Links	Skill source Repository Homepage

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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Deliver Release Notes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/product-on-purpose/pm-skills/tree/main/skills/deliver-release-notes
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.

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/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/deliver-release-notes .claude/skills/deliver-release-notes

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deliver Release Notes 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 Deliver Release Notes 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 Deliver Release Notes 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.

Release Notes

Release notes communicate product changes to users in a way that highlights value and builds excitement. Unlike changelogs (which document what changed technically), release notes translate changes into user benefits. Good release notes help users discover new capabilities, understand improvements, and trust that issues are being addressed.

When to Use

Shipping product updates to customers
Communicating changes to internal stakeholders
Preparing app store update descriptions
Writing customer-facing email announcements
Documenting changes for support and sales teams

When NOT to Use

You are updating internal stakeholders on progress rather than announcing shipped changes -> use foundation-stakeholder-update
You need the technical record of changes for developers -> keep the engineering changelog; this skill translates changes into user benefits
You are coordinating launch readiness rather than communicating the ship -> use deliver-launch-checklist
Nothing user-visible shipped (a pure internal refactor): release notes that stretch to find a benefit erode trust; skip the cycle or fold it into the next one

Instructions

When asked to create release notes, follow these steps:

Gather the Changelog Collect all changes included in this release: features, improvements, and bug fixes. Work from engineering changelogs, completed tickets, or pull request descriptions.
Identify the Highlights Select 1-3 changes that deserve top billing. These should be changes users will notice and care about most. Lead with the most impactful change.
Translate to Benefits Rewrite each change in terms of user value. Instead of "Added pagination to search results," write "Find what you need faster with improved search that handles large result sets." Focus on what users can now do or what's now better.
Categorize Changes Group remaining changes into clear categories: New Features, Improvements, and Bug Fixes. Within each category, order by impact (most valuable first).
Write Scannable Descriptions Each item should be 1-2 sentences. Lead with the benefit, optionally followed by the "how." Users scan release notes - make each line valuable.
Acknowledge Known Issues If there are known limitations or issues, be transparent. Users appreciate honesty, and it reduces support burden.
Tease Coming Soon (Optional) If appropriate, hint at what's coming next. This builds anticipation and shows momentum, but don't over-promise.

Output Format

Use the template in references/TEMPLATE.md to structure the output. Complete release notes fill the template sections: Highlights; New Features; Improvements; Bug Fixes; Known Issues; Coming Soon (optional); and Feedback.

Quality Checklist

Before finalizing, verify:

Highlights feature the 1-3 most impactful changes
Each item leads with user benefit, not technical description
Language is jargon-free and accessible to all users
Items are concise (1-2 sentences each)
Bug fixes mention the problem that was solved
No internal jargon, ticket IDs, or code names leak through; every line reads as customer-facing

Examples

See references/EXAMPLE.md for a completed example.

Bundled files

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

evals/output-scenarios/api-v4-breaking.md3 KB
evals/output-scenarios/mobile-v3.md2 KB
evals/trigger-fixtures.json4 KB
HISTORY.md1 KB
references/EXAMPLE.md3 KB
references/TEMPLATE.md2 KB

Frequently asked questions

What does the Deliver Release Notes AI skill do?

Why use Deliver Release Notes on TypingMind?

Because you install it once and use it with any model. Deliver Release Notes 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 Deliver Release Notes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/deliver-release-notes. 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 Deliver Release Notes?

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 Deliver Release Notes?

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

Is the Deliver Release Notes AI skill free?

Yes. It is published on GitHub by product-on-purpose 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Release Notes

When to Use

When NOT to Use

Instructions

Output Format

Quality Checklist

Examples

Bundled files

Frequently asked questions

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