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Aureliolo
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pre-pr-review

Run static analysis, tests, and AI agent reviews before creating GitHub pull requests.

9|1|Updated Feb 27, 2026
Search Tags:#automation#developer tools#ci/cd#code review#pull request#github actions
One-click install
npx skills add https://github.com/Aureliolo/synthorg --skill pre-pr-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pre-pr-review
Source: https://github.com/Aureliolo/synthorg/tree/main/.claude/skills/pre-pr-review
Command: npx skills add https://github.com/Aureliolo/synthorg --skill pre-pr-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the entire pre-pull request process, ensuring code quality, consistency, and readiness before human review, significantly speeding up the development cycle.

Core Features & Use Cases

  • Automated Checks: Runs linters, type checkers, and tests for Python, Go, and web frontends.
  • Agent-Based Review: Deploys specialized AI agents to review code for security, documentation, resilience, and conventions.
  • Issue Linking & PR Creation: Automatically links to GitHub issues, handles branch management, and creates the pull request.
  • Use Case: A developer finishes a feature and runs this Skill. It automatically checks their code, has AI agents review it for potential bugs and security issues, fixes minor formatting errors, and then creates a pull request ready for the team's approval.

Quick Start

Run the pre-pr-review skill with the issue number 123.

Frequently Asked Questions about pre-pr-review

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

FAQPage Schema
How do I automate a pre-pull request review pipeline for Python and Go codebases?▼

You can automate a pre-pull request review pipeline by running static analysis, executing tests, and deploying AI agents to check code quality, security, and documentation for Python, Go, and web frontend codebases.

Can I use AI agents to check code security and documentation before creating a GitHub pull request?▼

Yes, specialized AI agents can review code for security vulnerabilities, documentation gaps, resilience, and convention adherence before automatically linking GitHub issues and creating the pull request.

Does this automated code review tool support Python, Go, and web frontend repositories?▼

Yes, the automated code review pipeline supports Python, Go, and web frontend codebases by running linters, type checkers, and tests to ensure code readiness before human review.

What is the best way to automate fixing minor code issues before opening a pull request?▼

Automating minor issue fixes involves deploying AI agents to identify and correct minor formatting errors and code quality issues during the pre-pull request review pipeline before PR creation.

How do GitHub Actions integrate with automated pre-PR review and branch management?▼

Automated pre-PR review integrates with GitHub to handle branch management, link related issues, and create the pull request automatically after static analysis and AI agent checks pass.

When should I not use an automated pre-pull request review pipeline?▼

You should avoid using an automated pre-pull request pipeline for unsupported codebases outside of Python, Go, and web frontends, or when human review requires complex architectural changes beyond minor fixes.

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