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review-pr

Automate end-to-end PR reviews for libuipc with domain-aware evaluation.

307|59|Updated Jun 2, 2024
Search Tags:#github#code-review#pr-review#ai-review#backend-review#libuipc
One-click install
npx skills add https://github.com/spiriMirror/libuipc --skill review-pr-spirimirror
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-pr
Source: https://github.com/spiriMirror/libuipc/tree/main/.cursor/skills/review-pr
Command: npx skills add https://github.com/spiriMirror/libuipc --skill review-pr-spirimirror

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually reviewing libuipc pull requests is time-consuming and error-prone; this Skill automates the end-to-end PR review process, guiding you from checkout to a comprehensive AI-assisted assessment.

Core Features & Use Cases

  • End-to-end PR workflow: checkout, summarize changes, and enumerate affected files for human reviewers.
  • Domain-aware AI review: assess physics correctness, backend architecture, C++ style, GPU code, and Python bindings against project standards.
  • Optional reviewer comments: post review notes via GitHub CLI for quick collaboration.

Quick Start

Prompt the AI to checkout the PR, summarize changes, enumerate affected files for the reviewer, and run a domain-aware AI review.

Frequently Asked Questions about review-pr

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

FAQPage Schema
How do I automate libuipc PR reviews for physics correctness and C++ backend architecture?▼

You can automate libuipc PR reviews by checking out the PR, summarizing changes, and generating a reviewer-ready report assessing physics correctness, backend architecture, C++ style, GPU code, and Python bindings.

What is the best way to review large libuipc pull requests end-to-end?▼

Review large libuipc pull requests by running an end-to-end automated workflow that checks out code, enumerates affected files, and runs domain-aware AI evaluation against project standards.

Do I need the GitHub CLI to automate PR reviews and post reviewer comments?▼

Yes, you need the GitHub CLI and access to the GitHub PR context to checkout pull requests and optionally post AI-generated review notes for quick collaboration.

Can AI code review check GPU code and Python bindings in C++ projects?▼

AI code review can check GPU code and Python bindings in C++ projects by using a domain-aware evaluation framework to parse changes and produce actionable feedback on project standards.

How do I post AI review notes to GitHub after checking out a PR?▼

Post AI review notes to GitHub by using the gh CLI to optionally publish reviewer comments directly from the generated domain-aware assessment report for quick collaboration.

What limitations exist when automating code reviews for varying PR sizes?▼

Limitations include requiring direct access to the GitHub PR context and gh CLI, as the domain-aware evaluation framework depends on successfully checking out the PR to parse changes and generate feedback.

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