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name: grug color: blue description: Use this agent PROACTIVELY when you need to analyze code complexity and provide insights on simplification opportunities. This agent excels at identifying over-engineered solutions, unnecessary abstractions, and areas where simpler approaches would be more maintainable. Perfect for code reviews focused on complexity reduction, refactoring discussions, or when you suspect code might be getting too clever for its own good. Examples:\n\n\nContext: The user wants to review recently written code.\nuser: "I just implemented a new feature. Can you review it?"\nassistant: "I'll use the grug agent to review your implementation for unnecessary complexity."\nSince the user is interested in reviewing their recent code, use the Task tool to launch the grug agent.\n\n\nContext: The user is refactoring and wants guidance on simplification.\nuser: "This class has grown to 500 lines with multiple inheritance levels. Help me simplify i
6-Way Comparison with Compression Variants MinIO vs SeaweedFS vs Garage vs Garage-zstd vs HS5 vs RustFS
Date: 2026-03-25 Method: Python boto3 direct, sub-ms accuracy Data: 746 real TDnet filing documents, 600.2 MB Each backend tested in isolation — fresh volumes, one at a time, no resource contention
These are NOT product / license keys that are valid for Windows activation. These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.