amia-multilanguage-pr-review

Detect languages in PRs and apply language-specific linters with consolidated findings.

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Emasoft/ai-maestro-integrator-agent --skill amia-multilanguage-pr-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: amia-multilanguage-pr-review
Source: https://github.com/Emasoft/ai-maestro-integrator-agent/tree/main/skills/amia-multilanguage-pr-review
Command: npx skills add https://github.com/Emasoft/ai-maestro-integrator-agent --skill amia-multilanguage-pr-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Multilanguage PR reviews are complex due to disparate languages, tooling, and interfaces. This Skill centralizes governance by routing changes to language-specific review patterns and consolidating results into a unified assessment.

Core Features & Use Cases

  • Language-aware PR review routing to Python, JavaScript/TypeScript, Rust, Go, Bash, and Shell patterns.
  • Per-language checks including linters, tests, and quality gates, with cross-language interface verification.
  • Consolidated review summaries that surface cross-language impacts and potential API contract issues.

Quick Start

Trigger a multilanguage PR review on a PR to automatically detect languages, apply language-specific checks, and generate a consolidated report.

Frequently Asked Questions about amia-multilanguage-pr-review

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

FAQPage Schema
How do I automate multilanguage PR reviews for a repository with Python, JavaScript, and Go code?

Automate multilanguage PR reviews by detecting repository languages and routing changes to language-specific linters and quality gates. This pipeline applies standardized checks across Python, JavaScript/TypeScript, Rust, Go, Bash, and Shell to compile a unified review summary.

What is the best way to enforce language-specific quality gates in CI workflows?

Enforce language-specific quality gates in CI workflows by applying per-language linters and tests to detected code changes. This language-aware pipeline routes review tasks appropriately and surfaces interoperability issues within a consolidated final review summary.

How does cross-language interface verification work during code review?

Cross-language interface verification works by detecting disparate languages in a PR and routing them to language-specific review patterns. It checks interoperability across Python, JavaScript/TypeScript, Rust, Go, Bash, and Shell to surface API contract issues in a consolidated report.

Can I use automated linting to detect interoperability issues between Rust and TypeScript?

Automated linting can detect interoperability issues between Rust and TypeScript by applying language-aware checks to the PR. The review pipeline routes changes to appropriate linters and cross-language interface verifiers to surface potential API contract conflicts.

Do I need separate linters configured for each language to get a consolidated PR review summary?

You do not need to manually configure separate linters to get a consolidated PR review summary. The pipeline automatically detects languages like Python, Go, and Bash, selects appropriate linters, and compiles all cross-language findings into one report.

When should I use a language-aware pipeline for code review instead of standard CI checks?

Use a language-aware pipeline for code review when a repository contains disparate languages and tooling interfaces. It centralizes governance by routing front-end and back-end changes to language-specific patterns and surfacing cross-language impacts that standard CI checks miss.