slax-review

Review Kotlin Multiplatform Compose PRs for code quality and platform correctness.

15|2|Updated Mar 5, 2025
One-click install
npx skills add https://github.com/slax-lab/slax-reader-client --skill slax-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slax-review
Source: https://github.com/slax-lab/slax-reader-client/tree/main/.claude/skills/slax-review
Command: npx skills add https://github.com/slax-lab/slax-reader-client --skill slax-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

slax-review helps you catch performance issues, correctness bugs, architecture regressions, and platform-specific pitfalls in Kotlin Multiplatform Compose PRs before they land.

Core Features & Use Cases

  • Multi-stage deep review workflow: context/requirements capture, quick triage, targeted dependency & syntax research, and cross-checking.
  • Parallel investigation: runs multiple explore sub-agents plus WebSearch/WebFetch to validate findings against known issues.
  • Dialogue-based clarification: asks the developer intent questions when requirements or behavior are unclear.
  • Codex second opinion: generates an additional review pass and reconciles differences in the final report.
  • Structured output: emits a complete, documented markdown report under .claude/plans/ suitable for PR discussion.

Quick Start

Use slax-review to review your PR by asking: “/slax-review” with the PR you want analyzed in slax-reader-client.

Frequently Asked Questions about slax-review

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

FAQPage Schema
How do I conduct a deep multi-round code review for Kotlin Multiplatform Compose pull requests?

To review Kotlin Multiplatform Compose PRs for platform correctness, you must validate commonMain logic alongside Android and iOS platform code, checking networking, serialization, and data-sync layers for platform-specific pitfalls before merging.

How do I catch Compose UI state recomposition performance issues before merging a pull request?

Catching Compose UI state recomposition performance issues requires analyzing recomposition patterns through parallel sub-agent scanning and cross-checking findings against known issues via web research to identify architecture regressions before they land.

Does this code review workflow support validating commonMain logic and platform-specific code simultaneously?

Validating commonMain logic and platform-specific code simultaneously is supported by running parallel sub-agent scanning across Android and iOS platform code, ensuring networking and serialization layers maintain correctness across both platforms.

What is the best way to cross-check pull request review findings against known dependency issues?

The best way to cross-check pull request review findings against known dependency issues is using targeted dependency research with WebSearch and WebFetch, combined with a Codex second opinion to reconcile differences in the final report.

Why does my Kotlin Multiplatform PR review need interactive developer clarification?

Kotlin Multiplatform PR review needs interactive developer clarification when requirements or behavior are unclear, using dialogue-based questioning to capture accurate context and intent before proceeding with targeted dependency and syntax research.

When should I not use an automated multi-stage review workflow for my pull request?

You should not use an automated multi-stage review workflow for pull requests that do not touch commonMain logic, platform code, networking layers, or Compose UI state, as the structured investigation and parallel scanning offer no relevant platform correctness validation.