cli-generator

Lemon AI Hub

Build, Launch, and Scale with AI-Native Architecture.

Lemon AI Hub is a centralized and optimized repository to manage AI Skills and Plugins across different local agents (Claude Code, Codex, OpenCode, Agy). It is the technical foundation of the Lemon.dev ecosystem, designed by Anderson Lima to help founders and developers bridge the gap between AI-generated code and production-ready products.

This project is based on and inspired by Peter Steinberger's pattern (steipete/agent-scripts), but structured with a focus on .claude and shared with other providers via transparent symbolic links.

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🍋 The Lemon.dev Philosophy

The best code is invisible—it works, scales, and converts. Lemon AI Hub embodies this by providing:

• AI-Native Squads: Specialized agents that understand architecture and product strategy.
• Value Loops: Continuous improvement engines that keep quality high without manual overhead.
• Token Efficiency: Tools like RTK and Caveman Mode to maximize speed and minimize costs.

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🧩 Install as a Claude Code Hub

This repository ships a marketplace manifest (.claude-plugin/marketplace.json) so you can install its plugins directly inside Claude Code.

1. Register the marketplace

Inside a Claude Code session, run the slash command:

/plugin marketplace add Andersonlimahw/lemon-ai-hub

2. Browse & install plugins

Open the interactive installer, or install a plugin by name using the plugin@marketplace syntax:

/plugin                                            # browse the catalog UI
/plugin install spotify-squad@lemon-ai-hub
/plugin install agentic-value-loops@lemon-ai-hub

Plugin	Description
a11y-audit	WCAG 2.1 AA/AAA accessibility audit for web components, pages, and apps. Detects contrast failures, missing ARIA labels, keyboard trap issues, focus order problems, and screen-reader gotchas. Use when user wants to audit accessibility, fix a11y warnings, prepare for compliance review, or validate UI against WCAG standards.
a11y-guardian	Accessibility guardian plugin. Continuous WCAG 2.1 AA/AAA compliance monitoring for web projects. Integrates static analysis of React/Vue/HTML components, contrast ratio checks, ARIA validation, keyboard navigation audit, and generates actionable HTML reports. Pairs with a11y-audit skill.
agentic-value-loops	Agentic Value Loops plugin — Continuous improvement engine that ships verified increments with constant quality. Includes loops for Feature Development, Maintenance & Security, Documentation Sync, and AI Tuning.
async-advisor	Async and concurrency static analysis plugin. Scans TypeScript/JavaScript codebases for race conditions, unbounded Promise.all, missing AbortController, swallowed rejections, and N+1 async patterns. Runs as a pre-commit hook or CI check and provides inline fix suggestions.
async-patterns	Async and concurrency pattern advisor for JavaScript/TypeScript, Python, Go, and Rust. Identifies race conditions, missing error handling in promise chains, N+1 async anti-patterns, unbounded parallelism, and missing cancellation. Recommends correct patterns: Promise.all, p-limit, AbortController, AsyncLocalStorage, worker threads. Use when async code has bugs, timeouts, or memory leaks.
bundle-analyzer	JavaScript/TypeScript bundle size analysis, tree-shaking audit, and code splitting recommendations. Identifies heavy dependencies, duplicate packages, unused imports, and suggests dynamic imports and lazy loading. Use when bundle is too large, Lighthouse score is low, or user wants to optimize web app loading performance.
bundle-watch	Bundle size monitoring and budget enforcement plugin. Tracks JS/CSS bundle size per commit, blocks PRs that exceed size budgets, posts bundle size diff comments on PRs, and generates size trend charts. Supports Vite, Webpack, Next.js, Remix, and Rollup build outputs.
chaos-runner	Chaos engineering orchestration plugin. Manages chaos experiments via Toxiproxy, chaos-monkey scripts, and kubectl. Schedules regular chaos game days, tracks experiment results over time, and verifies steady-state hypotheses automatically. Integrates with Grafana for before/after metric comparison.
chaos-test	Chaos engineering scenarios for resilience testing. Designs fault injection experiments (network partitions, latency injection, dependency failures, disk pressure, memory leaks) and verifies circuit breakers, retries, and fallbacks work correctly. Use when building resilience features, verifying SLO under failure conditions, or preparing for production chaos days.
code-review-adversary	>