How does this skill improve MicroPython reviews?

It utilizes semantic search to find similar historical review comments from lead MicroPython maintainers, ensuring your code adheres to established project standards.

Can it review large pull requests?

Yes, the mpy-reviewer tool is optimized to handle large diffs by splitting them into per-file chunks for efficient semantic analysis.

What specific code aspects does it evaluate?

The skill focuses on correctness, memory management, performance, portability, API design, and MicroPython-specific coding styles.

Does it require any external dependencies?

It requires 'codanna' for semantic code search, which is typically handled via an automatic setup hook upon first use.

How does the verification workflow work?

After identifying potential issues, the skill uses a verification tool to cross-reference findings against the actual codebase, significantly reducing false positives.

MicroPython Code Reviewer

Name: MicroPython Code Reviewer
Author: andrewleech

byandrewleech

0•

Collaboration Tools

Analyzes MicroPython code changes using a database of 19,500+ historical maintainer review patterns.

The MicroPython Reviewer skill provides expert-level feedback on code changes by leveraging a massive semantic database of historical reviews from core maintainers. It helps developers align their contributions with MicroPython’s specific standards for memory management, portability, and performance. By scanning diffs, commits, and pull requests, the skill identifies potential issues and provides real-world examples of how similar code was previously critiqued, ensuring that new code meets the rigorous requirements of the MicroPython ecosystem.

Key Features

01Automated analysis of git diffs, commits, and GitHub Pull Requests

02Semantic search across 19.5K+ categorized maintainer review comments

03Integration with MCP for high-performance, warm-start processing

040 GitHub stars

05Two-step verification workflow to eliminate false positive findings

06Domain-specific filters for memory, performance, and portability

Use Cases

01Searching for historical feedback on specific patterns like GPIO or memory allocation

02Performing a pre-flight check on pull requests before submitting to MicroPython core

03Auditing embedded C and Python code for MicroPython-specific portability issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add andrewleech/mpy-reviewer review

For use in Claude.ai and ChatGPT

Download Skill