Analyze code for bugs, security issues, and quality defects across multiple languages.
npx skills add https://github.com/MichaelYagi/mcp_a2a --skill code-assistant
Please help me install this Agent Skill. Skill: code_assistant Source: https://github.com/MichaelYagi/mcp_a2a/tree/main/servers/code_assistant/skills Command: npx skills add https://github.com/MichaelYagi/mcp_a2a --skill code-assistant
This Skill automates comprehensive code analysis to detect bugs, anti-patterns, and quality issues across multiple languages, reducing manual debugging time and accelerating development cycles.
Install prerequisites (Python 3.10+). Then run analyze_code_file on a target file, apply fixes with fix_code_file, or generate code and tests with generate_code and generate_tests to see results immediately.
High-intent search queries and answers about installing and using this skill.
To analyze Python and JavaScript code for bugs and security issues, you can use an automated AST-based tool that scans files to detect anti-patterns and quality defects. This process identifies code smells and security vulnerabilities across multiple languages to reduce manual debugging time.
Yes, you can automatically fix and refactor code across large applications by applying automated analysis tooling. These tools detect common bugs and suggest refactors to improve readability and maintainability without requiring extensive manual intervention.
Yes, automated code analysis works with Rust and Go, alongside Python, JavaScript/TypeScript, Java, and Kotlin. It evaluates both small scripts and large applications in these languages to identify bugs, security issues, and code smells.
To generate unit tests from existing code files, you can use an AI-powered tool that analyzes your code behavior and automatically produces corresponding test suites. This accelerates feature development by automating test creation directly from your source files.
The best way to explain complex code behavior during a review is using an AI assistant to analyze dependencies, explain behavior, and suggest potential design improvements. This aids reviewers by automatically clarifying how unfamiliar code segments function.
Yes, you need Python 3.10+ installed as a prerequisite to run automated code generation and analysis. Once installed, you can immediately analyze target files, apply fixes, and generate new code or tests.
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