Coordinate automated code reviews across multiple AI models.
npx skills add https://github.com/leighmcculloch/dotfiles --skill review-leighmcculloch
Please help me install this Agent Skill. Skill: review Source: https://github.com/leighmcculloch/dotfiles/tree/main/files/config/opencode/skills/review Command: npx skills add https://github.com/leighmcculloch/dotfiles --skill review-leighmcculloch
Automates code reviews by coordinating multiple AI models to concurrently evaluate changes, increasing review coverage and speed.
Instruct the system to provide the target diff (PR or file) and initiate the three-model review workflow.
High-intent search queries and answers about installing and using this skill.
Concurrent AI code reviews coordinate multiple models to evaluate diffs simultaneously, increasing review coverage and speed while synthesizing results into an actionable summary. This workflow surfaces more quality issues than relying on a single model.
AI code review on a pull request diff works by applying automated concurrent evaluations across changes, generating synthesized results and optional PR comments. Provide the target diff to the system to initiate the multi-model review workflow.
Automated code review supports standalone reviews by applying concurrent multi-model evaluations directly to staged changes or specific files. This enables flexible workflows beyond standard pull requests without requiring a full PR context.
Concurrent processing improves code quality detection by running multiple AI models simultaneously against the same diff, identifying a broader range of issues. Safe delegation to subagents ensures these workflow steps execute without manual intervention.
Multi-model code review provides optional PR comment generation, synthesizing concurrent evaluations into a concise, actionable summary posted directly to the pull request. This streamlines feedback integration for developers.
Delegating code review steps to AI subagents requires no manual intervention, as the workflow safely coordinates concurrent model evaluations autonomously. The system synthesizes the delegated results and presents them directly to the user.
thurstonsandGenerate conventional commit messages from staged git diffs.
schmugSpawn a Claude worker to address pull request review comments and CI failures.
luongnv89Automate pre-commit hooks and GitHub Actions for code quality.
dbrijeshManage structured human review checkpoints for code, security, architecture, and database changes.
