Engineering Change Descriptions logo

Engineering Change Descriptions

Organization
agentara
engineering-change-descriptions

Use when writing, rewriting, or reviewing PR/CL descriptions, commit messages, or code-change summaries that explain what changed and why. TRIGGER on "write PR description", "improve this commit message", "summarize this diff", "CL description", "change description", or "make this PR/CL description easier to review". DO NOT TRIGGER for code review, PR splitting, code restructuring, user-facing changelogs, or reviewer replies unless the requested output is a change description.

Overview

Publisheragentara
Repositoryskills
Skill nameengineering-change-descriptions
Stars
605
Forks
43
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by agentara on GitHub. Read the source before you install it.

Installation

Install the Engineering Change Descriptions 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/agentara/skills/tree/main/skills/engineering/engineering-change-descriptions
  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/agentara/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/engineering/engineering-change-descriptions .claude/skills/engineering-change-descriptions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Engineering Change Descriptions 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 Engineering Change Descriptions 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 Engineering Change Descriptions 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.

Engineering Change Descriptions

A change description is permanent engineering history. It should let reviewers understand the change now and help future maintainers find and understand it later.

Adapted from Google Engineering Practices Documentation, especially "Writing good CL descriptions." Source: https://google.github.io/eng-practices/review/developer/cl-descriptions.html. License: CC-BY 3.0.

What a Good Description Answers

  • What changed?
  • Why did it change?
  • What context, constraints, or tradeoffs are not obvious from the code?
  • How was it tested?
  • What risks, migrations, rollbacks, or follow-ups should reviewers know?

Even small changes deserve context when the reason is not obvious.

First Line

The first line should:

  • Stand alone in version control history.
  • Be short, specific, and focused on what the change does.
  • Use an imperative form when writing a commit or CL title.
  • Avoid vague labels like "fix bug", "cleanup", "phase 1", "misc", or "add helpers".
  • Be followed by a blank line when there is a body.

Body

Include only useful context:

  • Problem being solved.
  • Why this approach was chosen.
  • User-visible or developer-visible behavior changes.
  • Important implementation notes.
  • Known limitations or follow-up work.
  • Bug IDs, issue links, benchmark results, design docs, migration docs, or rollout plans.
  • Enough context for links that might later become inaccessible.
  • Test commands and results, when appropriate.

Before submitting, reread the description after review changes and make sure it still matches the final diff.

Templates

Standard PR

markdown
[Imperative one-line summary]

## Why
[Problem, user need, production issue, maintainability reason, or design context.]

## What Changed
- ...
- ...

## Testing
- ...

## Risk / Rollback
- Risk:
- Rollback:

Small Change

markdown
[Imperative one-line summary]

[One paragraph explaining why this change exists and any non-obvious context.]

Testing: [command or manual check]

Refactor

markdown
[Describe the structural change and what it replaces]

This prepares for [future change] by [specific reason], without intentionally changing behavior.

Testing: [existing or new tests that protect behavior]

Generated or Mechanical Change

markdown
[Describe the mechanical rewrite]

Generated by [tool/version/command] to [reason]. Manual edits: [none/list].

Verification: [format/test/build command]

Rewrite Checklist

When improving an existing description:

  1. Extract the actual behavior from the diff.
  2. Replace vague first lines with a concrete action.
  3. Add the missing why.
  4. Preserve useful issue links and test evidence.
  5. Remove process noise that does not help reviewers or future maintainers.

Common Mistakes

  • Describing only the implementation without the reason.
  • Writing a title that future searchers cannot distinguish from similar changes.
  • Depending entirely on external links for crucial context.
  • Leaving the description stale after review significantly changes the diff.
  • Hiding risk, limitations, or rollout requirements because they feel inconvenient.

Frequently asked questions

What does the Engineering Change Descriptions AI skill do?

Use when writing, rewriting, or reviewing PR/CL descriptions, commit messages, or code-change summaries that explain what changed and why. TRIGGER on "write PR description", "improve this commit message", "summarize this diff", "CL description", "change description", or "make this PR/CL description easier to review". DO NOT TRIGGER for code review, PR splitting, code restructuring, user-facing changelogs, or reviewer replies unless the requested output is a change description.

Why use Engineering Change Descriptions on TypingMind?

Because you install it once and use it with any model. Engineering Change Descriptions 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 Engineering Change Descriptions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentara/skills/tree/main/skills/engineering/engineering-change-descriptions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Engineering Change Descriptions?

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 Engineering Change Descriptions?

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

Is the Engineering Change Descriptions AI skill free?

Yes. It is published on GitHub by agentara 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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