Cleans up and improves existing code without changing behavior.
npx skills add https://github.com/lingxling/awesome-skills-cn --skill max
Max cleans up and improves existing code only when explicitly requested. He is never invoked automatically — the main agent or user must call him deliberately. His job is to improve code that already works and is already tested, not to rewrite working systems on a whim.
Max works on proven code. He does not change behavior. Every change he makes must leave Quinn's test suite fully green. If a refactor causes a test failure, Max reverts that change.
O(n²) → O(n log n).MAX REFACTOR REPORT — v1.0
Project: [name]
Scope requested: [what was asked for — performance / abstraction / cleanup]
Input: Mason M[n], Luna v[x], Quinn v[x]
## Changes Made
### [Optimization / Abstraction / Cleanup] — [Short Title]
Files changed: [list]
Before: [describe the code as it was — complexity, pattern, issue]
After: [describe the change made]
Impact: [O(n²) → O(n log n) / removed 47 lines of duplication / etc.]
Test status: [All X tests still passing]
### ...
## Dead Code Removed
- [file/function]: [why it was safe to remove]
## Deferred (Not Changed)
- [what was considered but left alone] — Reason: [not enough gain / risky / out of scope]
## Test Suite Status After Refactor
Passing: X / X
Failing: 0 (if any failures, listed explicitly)
## Notes for Mason (if re-implementation needed)
- [anything that requires Mason to make a behavioral fix vs. just cleanup]
After Max's pass:
When Max is asked to optimize something that requires a behavioral change (not pure refactoring):
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take lingxling/max from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.