Adr Review

OrganizationPopular

prisma

adr-review

Review one or more ADRs with fresh eyes (as a team member without prior context), identify narrative and structural issues, then rewrite them. Use when the user asks to review, improve, rewrite, or take a fresh-eyes pass on an ADR or a set of ADRs (Architecture Decision Records).

Overview

Publisher	prisma
Repository	`orm`
Skill name	`adr-review`
Stars	47.6K
Forks	2.5K
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by prisma on GitHub. Read the source before you install it.

Installation

Install the Adr Review 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.
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/prisma/orm.git /tmp/orm
mkdir -p .claude/skills
cp -r /tmp/orm/skills-contrib/adr-review .claude/skills/adr-review

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

Use it in TypingMind

Enable Adr Review 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 Adr Review 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 Adr Review 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.

Reviewing and Rewriting ADRs

Read each ADR with fresh eyes. Pretend you're a member of the team who doesn't have all the context the author has. The goal is to find places where the document assumes context the reader doesn't have, buries the decision, or carries baggage that won't make sense to a future reader.

This skill applies whether you're working on a single ADR or a batch. Treat each ADR independently — do the analysis and rewrite per document — even when several are in scope at once.

Workflow

Analyze first, in chat. Before touching any file, list the issues you found and explain them. Do not rewrite silently. When multiple ADRs are in scope, group your analysis per ADR so the user can react to each one before rewrites land.
Then rewrite each document to address the issues you identified.

What a good ADR looks like

Starts with a clear grounding example. Give the reader something concrete to pin understanding to before the abstract reasoning starts.
Has a strong narrative that builds the topic up bit by bit, explaining clearly throughout. Don't compress; let ideas breathe.
Leads with the decision. State what's being decided up front. The reader should know the conclusion before working through the reasoning.
Ends with alternatives considered. Put rejected options last so the reader isn't loaded down with information about paths the document is making irrelevant.

What an ADR must NOT contain

ADRs are long-lived documentation. They should not contain:

References to Linear tickets, GitHub issues, or other ticket trackers.
Milestones from the project that produced the ADR.
States the system passed through during or preceding a refactor that will never be seen again — interim names, deprecated wrappers being removed, "current" qualifiers, "we used to" framing.

If a piece of context only makes sense to someone who lived through the change, cut it or rewrite it as a fact about the system as it is.

Output shape

When invoked:

Read the ADR (or ADRs) in scope.
Write your analysis in the chat — what's missing, what's buried, what's transient, what's unclear to a fresh reader. Be specific; quote or cite the parts you're flagging. For multiple ADRs, label each block clearly.
Then rewrite each file end-to-end so it follows the structure above.

Frequently asked questions

What does the Adr Review AI skill do?

Why use Adr Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prisma/orm/tree/main/skills-contrib/adr-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Adr Review?

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 Adr Review?

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

Is the Adr Review AI skill free?

Yes. It is published on GitHub by prisma 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

Reviewing and Rewriting ADRs

Workflow

What a good ADR looks like

What an ADR must NOT contain

Output shape

Frequently asked questions

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