Pr Review

Community

DataWithBaraa

pr-review

Use before a pull request or another change goes in, on a file, the current diff or a branch, to review it pass by pass against the project's own standards, with pushback.

Overview

Publisher	DataWithBaraa
Repository	`claude-code-data-engineering-skills`
Skill name	`pr-review`
Stars	66
Forks	22
Bundled files	6
License	MIT
Links	Skill source Repository

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 DataWithBaraa on GitHub. Read the source before you install it.

Installation

Install the Pr 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.
https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/pr-review
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/pr-review

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/DataWithBaraa/claude-code-data-engineering-skills.git /tmp/claude-code-data-engineering-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-data-engineering-skills/skills/pr-review .claude/skills/pr-review

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

Use it in TypingMind

Enable Pr 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 Pr 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 Pr 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.

Pull request review

The job: review one change in fixed passes, in this order, and report every finding with its fix. It never edits.

Input: a file, the current diff, or a branch before its merge.

Steps

Scope the change: the files, the lines and the purpose of the change.
Security: secrets in the code, access rights, personal data that reaches the consumers.
Correctness: data types, money, the numbers the change produces, and the same result on a rerun or a backfill.
Tests: the change comes with tests, they cover the edge cases, and they pass.
Contract: the grain, the columns and the types against the data contracts of the consumers.
Portability: absolute paths and anything else that only runs on one machine.
Duplication: code that already exists in the project.
Architecture and performance: how it connects to the warehouse, what it loads into memory, what it scans.
Documentation: the runbook and the data contract for anything new.
Style: the project's code style.
For every finding: the risk, the file and line, the rule from the standards, and the suggested change.
The verdict: approve, or changes requested. Give the result as one web page.

Pushback

A finding the author declines stays in the report as declined, with the reason given. It is never dropped and never quietly downgraded.

Output

One HTML file, like references/pr-review.html: the change and its verdict on top, then every finding with the code, the rule and the suggested change, high risk first. Read it for the layout before you write the page.

Reads

the change, the standards, the tests, the data contracts of the consumers

Writes

the web page only

Never

Never edits the change, never pushes, never merges.

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 Pr Review AI skill do?

Use before a pull request or another change goes in, on a file, the current diff or a branch, to review it pass by pass against the project's own standards, with pushback.

Why use Pr Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/pr-review. 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 Pr 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 Pr Review?

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

Is the Pr Review AI skill free?

Yes. It is published on GitHub by DataWithBaraa 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

Pull request review

Steps

Pushback

Output

Reads

Writes

Never

Bundled files

Frequently asked questions

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