Review pull requests through a structured 6-phase process.
npx skills add https://github.com/foomakers/pair --skill review-foomakers
Please help me install this Agent Skill. Skill: review Source: https://github.com/foomakers/pair/tree/main/packages/knowledge-hub/dataset/.skills/process/review Command: npx skills add https://github.com/foomakers/pair --skill review-foomakers
This Skill automates the complex and time-consuming process of code review, ensuring adherence to quality standards, project adoption guidelines, and completeness criteria, thereby accelerating the development cycle.
/verify-quality, /verify-done, and /assess-debt for comprehensive analysis./review skill automatically checks code quality, verifies against project standards, flags technical debt, and compiles a detailed report, allowing the reviewer to focus on high-level feedback and decision-making.Use the review skill to review pull request number 123.
High-intent search queries and answers about installing and using this skill.
Automating code review for a pull request involves running a structured 6-phase process that validates code, assesses technical debt, and checks project compliance. This skill compiles a detailed report to accelerate the development workflow.
Checking technical debt during development workflow is handled by an automated assessment phase that evaluates the code against project standards. It identifies debt and compliance issues to ensure quality assurance before merging.
Resuming an incomplete code review is supported through idempotent execution. You can re-invoke the process to evaluate changes without starting over, ensuring graceful degradation if the review was interrupted.
Yes, automated pull request review explicitly verifies completeness criteria. It runs checks against project adoption guidelines and story requirements to ensure all conditions are met before final decision-making.
The code review process handles parent cascade merging by integrating optional merge validation into its phases. It ensures idempotency and graceful degradation when evaluating pull requests against parent branches.
Limitations of automating quality assurance include reliance on predefined project adoption guidelines and atomic skill composition. It requires structured input stories to function correctly and cannot review unstructured code changes effectively.
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