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bart-specialists-git

Analyze Git history and PR reviews to extract engineering standards by domain.

8|Updated Feb 14, 2026
Search Tags:#automation#code-review#specialists#git-history#engineering-standards#pr-reviews#domain-clustering
One-click install
npx skills add https://github.com/leandrostoroli/bart-loop --skill bart-specialists-git
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bart-specialists-git
Source: https://github.com/leandrostoroli/bart-loop/tree/main/skills/bart-specialists-git
Command: npx skills add https://github.com/leandrostoroli/bart-loop --skill bart-specialists-git

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to uncover the engineering standards that are actually enforced, by analyzing Git history and GitHub PR reviews to surface patterns of corrections and best practices. It helps stakeholders understand what the team values in code quality and consistency.

Core Features & Use Cases

It scans GitHub PR review comments and commit diffs to extract recurring corrections, clusters findings by domain (e.g., backend, frontend, testing, design), compares these patterns against existing specialist profiles, and recommends new specialists to document and codify the standards.

Quick Start

Invoke bart think to explore git-based standards, then run bart plan and bart run to mine PRs and generate specialist recommendations.

Frequently Asked Questions about bart-specialists-git

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract engineering standards from Git history and PR reviews?▼

Mining PR reviews for code quality patterns involves scanning GitHub comments and commit diffs to surface recurring corrections. The extracted patterns are then clustered by domain to reveal enforced engineering standards.

Can I use Git history analysis to identify gaps in existing specialist profiles?▼

Yes, Git history analysis compares recurring correction patterns against existing specialist profiles to identify gaps. It outputs a domain-clustered premises list recommending new specialists to document and codify team standards.

Does this approach work for codebases with active PR activity?▼

Yes, this approach is designed for codebases with active PR activity. It mines ongoing GitHub PR review comments to aggregate findings by domain and generate structured imperatives derived from actual reviews.

How do I generate specialist recommendations from commit diffs?▼

To generate specialist recommendations from commit diffs, invoke a thinking command to explore git-based standards, then run planning and execution commands to mine PRs. This produces a domain-clustered premises list and safety checks for new specialists.

What are the limitations of analyzing Git history for engineering standards?▼

A key limitation is that analyzing Git history for engineering standards requires codebases with active PR activity to extract meaningful corrections. Without consistent PR review comments and commit diffs, the tool cannot accurately surface enforced engineering standards.

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