How does the multi-agent review process work?

The skill coordinates specialized agents to perform parallel reviews of your code, focusing on domain-specific expertise like security vulnerabilities, code architecture, and test coverage.

Can I use this skill just for Git commits without creating a PR?

Yes, the skill features a specific 'Generate Commits Only' mode that analyzes your changes and creates organized, atomic commits using the conventional commit format.

Does this skill require specific project documentation?

While it works best with spec-driven development by pulling context from your @WORKFLOW.md or spec files, it can also generate descriptions based solely on your code changes.

What languages does the validation phase support?

The skill includes smart quality validation for multiple languages, including Python, Rust, JavaScript, and Go, covering linting, type checking, and security scans.

Review & Ship Automation

Name: Review & Ship Automation
Author: jeanluciano

byjeanluciano

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Deployment & DevOps

Streamlines the software delivery lifecycle by automating code validation, commit organization, multi-agent reviews, and pull request creation.

About

The Reviewing and Shipping skill acts as a comprehensive quality gatekeeper for your development workflow, handling the transition from 'code complete' to 'merged'. It implements a sophisticated 5-phase process that validates code against security and testing standards, automatically fixes minor issues, organizes local changes into clean atomic commits, and performs multi-agent reviews. By integrating directly with your project specifications, it generates context-rich pull requests that provide reviewers with all the information they need to approve changes confidently.

Key Features

Automated multi-phase quality validation (Linting, Testing, Security)
Context-aware PR description generation from project specifications
Progressive loading architecture to minimize token usage during tasks
Intelligent atomic commit generation using Conventional Commit standards
20 GitHub stars
Multi-agent review coordination for security and code quality audits

Use Cases

Performing a deep security and quality analysis before a major release
Organizing messy or large local changes into logical, structured Git commits
Preparing and shipping a completed feature with full validation and PR creation

About

Key Features

Automated multi-phase quality validation (Linting, Testing, Security)
Context-aware PR description generation from project specifications
Progressive loading architecture to minimize token usage during tasks
Intelligent atomic commit generation using Conventional Commit standards
20 GitHub stars
Multi-agent review coordination for security and code quality audits

Use Cases

Performing a deep security and quality analysis before a major release
Organizing messy or large local changes into logical, structured Git commits
Preparing and shipping a completed feature with full validation and PR creation