Adr Review

CommunityPopular

ruvnet

adr-review

Review code changes against accepted ADRs for compliance violations

Overview

Publisher	ruvnet
Repository	`ruflo`
Skill name	`adr-review`
Stars	72.7K
Forks	8.6K
Bundled files	Instructions only
License	MIT
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 ruvnet 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/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/plugins/ruflo-adr/skills/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.

ADR Review

Review code changes against accepted Architecture Decision Records to detect violations, drift, and non-compliance.

When to use

Before merging a PR, after significant code changes, or as part of a periodic compliance check. Use this to ensure code changes respect the architectural decisions the team has agreed upon.

Steps

Get diff -- Run git diff main...HEAD --name-only (or the specified branch) to list changed files. Then run git diff main...HEAD to get the full diff content.
Find relevant ADRs -- For each changed file:
- Grep the file for ADR references (ADR-\d+)
- Grep docs/adr/ for ADRs that mention the changed file paths or modules
- Call mcp__plugin_ruflo-core_ruflo__memory_search with the file path and change summary to find semantically related ADRs
Load ADR content -- Read each relevant ADR file. Focus on:
- The Decision section (what was decided)
- The Status (only enforce "accepted" ADRs)
- The Consequences (expected constraints)
Check for violations -- Analyze each changed file against its relevant ADRs:
- Does the code change contradict an accepted decision?
- Does it use a technology/pattern that an ADR explicitly rejected?
- Does it modify a module in a way the ADR's consequences warned against?
- Is the code referencing a deprecated or superseded ADR?
Query relationship graph -- Call mcp__plugin_ruflo-core_ruflo__agentdb_causal-query to check if any referenced ADRs have been superseded. If so, flag that the code references an outdated decision.

Report -- Present findings as a compliance report:


## ADR Compliance Report

### Violations
- [ ] <file>:<line> — violates ADR-NNN: <reason>

### Warnings
- [!] <file> references superseded ADR-NNN (replaced by ADR-MMM)

### Compliant
- [x] <file> — consistent with ADR-NNN

### Unlinked Changes
- [?] <file> — no ADR coverage (consider creating one)

Suggest actions -- For each violation, suggest whether to update the code or propose a new ADR to supersede the violated one.

Frequently asked questions

What does the Adr Review AI skill do?

Review code changes against accepted ADRs for compliance violations

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/ruvnet/ruflo/tree/main/plugins/ruflo-adr/skills/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 ruvnet 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ADR Review

When to use

Steps

Frequently asked questions

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