feat: Add tvm-ffi-code-review Claude Skill

[junrushao]

Add a /tvm-ffi-code-review skill that runs parallel code reviews using Claude Code (Opus 4.6) and OpenAI Codex (GPT-5.3) as independent reviewers, then synthesizes their findings into a unified report.

• Flexible review scope: PR (default), branch, commit, staged, unstaged
• Both reviewers share a comprehensive checklist covering correctness, security, performance, API design, maintainability, concurrency, error handling, and best practices
• Presents each reviewer's raw output first, followed by a synthesized report with consensus findings and severity-sorted tables
• Option to publish review as inline GitHub PR comments via gh api

[gemini-code-assist]

Summary of Changes

Hello @junrushao, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new tvm-ffi-code-review skill designed to enhance code review processes by leveraging multiple AI models. The skill automates comprehensive code analysis, offering a consolidated and prioritized report of potential issues, and streamlines feedback delivery through optional GitHub integration.

Highlights

• Parallel AI Review: Introduced a new skill that performs parallel code reviews using both Claude Code (Opus 4.6) and OpenAI Codex (GPT-5.3) models.
• Unified Report Generation: Synthesizes findings from both AI models into a single, prioritized report, detailing consensus findings and divergences.
• Flexible Review Scope: Supports various review scopes including entire PRs, specific branches, commits, staged changes, or unstaged changes, with user prompting for ambiguous cases.
• Comprehensive Review Checklist: Both AI reviewers utilize a shared checklist covering correctness, security, performance, API design, maintainability, concurrency, error handling, and best practices.
• GitHub Integration: Provides an option to publish the synthesized review report as inline comments directly on GitHub Pull Requests using the gh api.

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Changelog

• .claude/skills/tvm-ffi-code-review/SKILL.md
  • Added the definition and detailed instructions for the new tvm-ffi-code-review skill.

Activity

• No specific activity (comments, reviews, or progress updates) has been recorded for this pull request yet.

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[junrushao]

Example: #449 (review)

[gemini-code-assist]

Code Review

This pull request introduces a well-structured and comprehensive tvm-ffi-code-review skill. The documentation is detailed, covering various scopes, parallel execution, result synthesis, and GitHub integration. The overall design is robust, particularly the handling of the gh api for submitting reviews.

However, I've identified a few areas for improvement, primarily concerning the accuracy of prerequisites and model names, which are currently misleading. I've also suggested a more robust way to handle temporary files. Addressing these points will significantly improve the clarity and usability of this new skill.

[junrushao]

Closing as it's not specific to TVM-FFI. Would be nice to be a global skill