Aiyu Multi-Agent - Lightweight AI Agent Framework with Tools, Plugins, and Multi-Agent Orchestration
MN-Lizard-Team/aiyu-multi-agent
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Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
MN-Lizard-Team/aiyu-multi-agent
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Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
MN-Lizard-Team/aiyu-multi-agent
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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
MN-Lizard-Team/aiyu-multi-agent
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Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
MN-Lizard-Team/aiyu-multi-agent
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Continuous Integration and Continuous Deployment best practices and pipeline design.
MN-Lizard-Team/aiyu-multi-agent
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Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments.
MN-Lizard-Team/aiyu-multi-agent
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Code review guidelines covering code quality, security, and best practices.
MN-Lizard-Team/aiyu-multi-agent
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Docker and Kubernetes best practices for building, shipping, and running containerized applications.
MN-Lizard-Team/aiyu-multi-agent
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Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
MN-Lizard-Team/aiyu-multi-agent
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Delphi and Pascal development patterns, Object Pascal best practices, VCL/FMX framework guidance, and legacy Pascal modernization. Use when building Windows desktop apps, maintaining legacy Delphi codebases, or migrating Pascal to modern platforms.
MN-Lizard-Team/aiyu-multi-agent
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Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
MN-Lizard-Team/aiyu-multi-agent
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Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
MN-Lizard-Team/aiyu-multi-agent
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Data Transfer Object design patterns, mapping strategies, and validation. Use when designing API request/response shapes, mapping between layers, or implementing object transformation pipelines.
MN-Lizard-Team/aiyu-multi-agent
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Mandatory design decision process for UI/UX tasks. Deep design thinking phases, anti-cliché rules, Purple Ban, Maestro Auditor, and reality check. Loaded by frontend-specialist and mobile-developer agents.
MN-Lizard-Team/aiyu-multi-agent
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Design thinking and decision-making for web UI. Use when designing components, layouts, color schemes, typography, or creating aesthetic interfaces. Teaches principles, not fixed values.
MN-Lizard-Team/aiyu-multi-agent
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Game development orchestrator. Routes to platform-specific skills based on project needs.
MN-Lizard-Team/aiyu-multi-agent
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Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
MN-Lizard-Team/aiyu-multi-agent
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Git branching strategies, commit conventions, and collaborative development workflows.
MN-Lizard-Team/aiyu-multi-agent
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Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
MN-Lizard-Team/aiyu-multi-agent
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Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
MN-Lizard-Team/aiyu-multi-agent
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MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
MN-Lizard-Team/aiyu-multi-agent
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Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.
MN-Lizard-Team/aiyu-multi-agent
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Logging, metrics, tracing, and observability best practices for production systems.
MN-Lizard-Team/aiyu-multi-agent
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React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: