Standardize code-change reviews with structured findings and human-review callouts.
npx skills add https://github.com/ladislas/mypac --skill pac-review
Please help me install this Agent Skill. Skill: pac-review Source: https://github.com/ladislas/mypac/tree/main/skills/pac-review Command: npx skills add https://github.com/ladislas/mypac --skill pac-review
This skill provides a standardized framework for reviewing code changes, ensuring consistent, thorough critiques across teams and projects.
Apply these guidelines to a given code change to produce a structured, actionable review summary.
High-intent search queries and answers about installing and using this skill.
You can standardize code reviews for pull requests by applying a repeatable workflow with clear flagging criteria and actionable feedback to ensure consistency across teams.
A structured code review workflow guides reviewers through diffs and commits to surface high-impact issues, enforcing structured findings and mandatory human-review callouts for non-blocking risks.
Yes, you can apply standardized review guidelines to uncommitted git changes, branch comparisons, and specific commits to produce a structured, actionable review summary.
The best way to flag non-blocking risks during a code review is to enforce a mandatory Human Reviewer Callouts section that clearly communicates these risks without blocking the merge.
Yes, a structured review process applies directly to branch comparisons, guiding reviewers through the diff to surface high-impact issues and generate actionable feedback.
To ensure consistency and thoroughness in code change reviews, apply a standardized framework that enforces clear flagging, structured findings, and mandatory human-review callouts.
johnlindquistAnalyze git diffs to explain changes and assess impact before committing.
offlinecvCoordinate review requests and reminders across GitHub pull requests.
519labRun automated code review with security scans and static analysis before commit.
Disaster-TerminatorAutomate pull request reviews with AI bots and archive learnings.
