Is the Gates skill tied to a specific AI model?

No, it is model-agnostic and will function using whichever model is configured in your global Claude settings or environment variables.

Which programming languages are supported by the Gates skill?

The Gates skill supports nine major languages: TypeScript, JavaScript, Python, Rust, Go, Java, Ruby, PHP, and Solidity, each with specific linters and formatters.

Can the Gates skill automatically fix code issues?

Yes, when used with Agent Teams, the ralph-coder subagent can automatically apply fixes for common linting and formatting violations identified during the gate check.

How does this skill optimize token usage during code validation?

It uses Language Server Protocol (LSP) for targeted diagnostics and 'tldr structure' commands to identify project languages without reading the entire codebase, significantly reducing token consumption.

Where can I find the results of the quality checks?

Results are automatically displayed in the Claude conversation and saved to 'docs/actions/gates/' as Markdown reports and '.claude/metadata/actions/gates/' as JSON metadata.

Gates Quality Validation

Name: Gates Quality Validation
Author: alfredolopez80

byalfredolopez80

•

安全与测试

Automates multi-language quality gates including linting, formatting, type checking, and test execution to ensure code meets production standards.

The Gates skill provides a comprehensive quality validation framework for Claude Code, supporting nine programming languages through integrated linters, formatters, and type checkers. It leverages LSP diagnostics for efficient type checking and uses TLDR-assisted analysis to detect codebase structures with minimal token usage. Designed for multi-agent orchestration, it coordinates with specialized subagents to run validations in parallel and generates detailed Markdown and JSON reports, ensuring all code changes are verified before pull requests or final deployment.

主要功能

0184 GitHub stars

02Comprehensive validation for 9 languages including TypeScript, Python, Rust, and Go

03Parallel task execution through Agent Teams integration for faster validation cycles

04LSP-driven type checking for high-speed diagnostics with minimal token overhead

05Automated language and framework detection using codebase structure analysis

06Automated reporting system that generates both human-readable Markdown and machine-ready JSON logs

使用场景

01Pre-commit validation to catch linting, formatting, and type errors before code review

02Multi-agent coordination for running large-scale test suites and applying auto-fixes in parallel

03Automated quality reporting for CI/CD pipelines to block sub-standard code merges

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alfredolopez80/multi-agent-ralph-loop gates

For use in Claude.ai and ChatGPT

Download Skill