MCP App StoreMCP App Store
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Setup and execute Mojo code within Claude.ai containers, including installation, compilation, and performance benchmarking.
This skill transforms a Claude.ai container into a functional Mojo development environment. It manages the installation of the Modular CLI and Mojo compiler, handles JIT and binary compilation, and provides a framework for benchmarking Mojo performance against Python.
Use this skill when you need to write, run, or test Mojo code. It is particularly useful for high-performance computing tasks or when the user mentions Modular or the MAX framework.
uv.fn with def).Claude.ai (Container mode), Claude Code, and other environments with bash access.
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Bookmarklet Creation
Generate production-ready JavaScript bookmarklets (javascript:...) with required IIFE wrapper, block comments, installation links, and testing guidance.
Tiling Tree Explorer
Exhaustively explores problem spaces using the MIT Synthetic Neurobiology tiling tree method for MECE decompositions.
OpenTestAI
Automated, high-confidence AI testing: bug detection, persona feedback, and prioritized test-case generation using many specialized tester profiles.
Go Data Structures
Authoritative guidance on choosing and using Go built-in and standard-library data structures, with practical best practices for slices, maps, arrays, container
React Development Expert
Provides authoritative React guidance on hooks, state patterns, Server Components, performance optimization, and common architectural patterns.
Code Reviewer
Perform structured, prioritized code reviews that find correctness, security, performance, reliability, and testing issues and provide concrete fix suggestions.
dotLottie Web
Guidelines and patterns for implementing performant dotLottie/Lottie animations on the web (vanilla JS and React), including workers, state machines, and themin
Party Engine Skill
Guidance and examples for using the @cazala/party particle engine (engine lifecycle, modules, WebGPU vs CPU patterns) in custom apps.
Party Skill
Programmatic guide for the @cazala/party library: engine setup, modules, particle APIs, and performance tips for WebGPU and CPU runtimes.
LLM Evaluation
Evaluation framework and tools for systematically measuring LLM performance using automated metrics, human judgment, and A/B testing.