unlazy
Anti-laziness skill for AI agents, based on deep tree methodology.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.5k
- Source
- skill-github
- Repository
- github.com/Leonxlnx/unlazy
Overview
unlazy is an anti-laziness skill designed for AI agents. Its core is the deep tree method, which decomposes tasks into N layers and assigns time budgets to each leaf node, causing effort to double with increasing depth. This skill is based on research from 2025-2026 regarding model laziness, insufficient thinking, and premature task completion. By using this skill, AI can better handle complex tasks. Ideal for developers seeking to improve AI agent efficiency.
Capabilities
- ▪Multi-layer task decomposition
- ▪Time budget allocation
- ▪Prevention of premature task completion
- ▪Improved AI agent efficiency
Use cases
Setup
npx skills add Leonxlnx/unlazy
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to install unlazy?
Install using the command `npx skills add Leonxlnx/unlazy`.
What is the core of unlazy?
The core of unlazy is the deep tree method, used to decompose tasks and allocate time budgets.
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